Sökresultat för "Databricks"

CSQ227R121 Locations - Sweden, Denmark, Finland (Hybrid/Remote) At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on: * Designing secure, scalable architecture  * Aligning people, processes, and technology  * Establishing trusted advisor relationships * Leveraging the broader ecosystem of Databricks experts  This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.  While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: * Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise * Create  and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments * internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership What we look for: * Programming experience in PySpark, Python and Databricks (or similar data platform) * Understanding and hands-on experience of solution architecture-related distributed data and analytics systems * 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program coordination including account and stakeholder management * Experience resolving complex and important escalation with senior customer technical stakeholders * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30%   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ327R156 Mission  As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: * Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.   * Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems * Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains * Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks * Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: * 7+ years of hands-on industry ML experience in at least one of the following: * ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. * AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Experience with data engineering, or a good understanding of the concept of data engineering * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through ML & AI * [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ327R42 Note: We are open to candidates based in Sweden, Denmark or Finland. Want to help solve the world’s toughest problems with data and AI? This is what we do every day at Databricks.Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today’s ultra-competitive landscape. As a Core Enterprise Account Executive, you will own a focused territory of ~10 large Enterprise spending accounts across the Nordics. As a successful candidate, you are a high-achieving sales professional and self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, are always prospecting and identifying new use cases and growing consumption, and can guide deals forward to compress decision cycles. You love understanding a product in-depth, and are passionate about communicating its value to customers and partners. You will report to the Director of Enterprise Sales, Nordics.  The impact you will have: * Assess your territory and develop a successful execution strategy  * Drive quarter-on-quarter consumption growth in existing accounts * Exceed activity and quarterly revenue targets * Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce * Identify new use case opportunities and showcase value to existing customers * Promote the value of the Databricks' Data Intelligence Platform  * Ensure 100% satisfaction among all customers What we look for: * Minimum 4+ years of sales experience in the software industry, preferably in open source, data platform, AI/ML Infra, Observability, cloud infrastructure or cloud security  * Experience growing consumption, and closing commit deals in a direct sales role * Proven track record of exceeding sales targets/quotas * Advanced understanding of MEDDPICC and Value Selling * Competent with prospecting research and ability to map out key stakeholders * Business fluency in English and a Nordic language is required * Bachelor's Degree or relevant work experience About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R2 Want to help solve the world’s toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today’s ultra-competitive landscape. As a Core Account Executive (Digital Natives) at Databricks, you will own a focused territory of ~10 large Digital Native spending accounts across the Nordics. As a successful candidate, you are a high-achieving sales professional and self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, are always prospectng and identifying new use cases and growing consumption, and can guide deals forward to compress decision cycles. You love understanding a product in-depth, and are passionate about communicating its value to customers and partners.    You will report to the Senior Manager, Emerging Enterprise Nordics. This role is based in Stockholm, though we are open to strong candidates located in other parts of Sweden. The impact you will have: * Assess your territory and develop a successful execution strategy * Drive quarter-on-quarter consumption growth in existing accounts * Exceed activity and quarterly revenue targets * Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce * Identify new use case opportunities and showcase value to existing customers * Promote the value of the Databricks' Data Intelligence Platform and other products * Ensure 100% satisfaction among all customers What we look for: * Good understanding of the data platform and cloud ecosystems * Some exposure to the software industry and understanding of selling SaaS, Data and Business Value * Experience growing consumption and closing commit deals in a direct sales role * Competent with prospecting research and ability to map out key stakeholders * Advanced understanding of MEDDPICC * Experience exceeding sales targets/quotas * Bachelor's Degree or relevant work experience About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ327R347 Databricks is seeking a Lakebase Sales Specialist to help customers modernise their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have:  * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team * Lead with outcomes for key Lakebase personas, including platform teams and developers, data teams, and central IT, articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences * Run complex sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation What success looks like in this role: This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase * Drive longer-term Postgres standardisation and migration within Databricks' most strategic accounts Success in this role requires strength in four areas: 1. Business ownership: Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement: Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership: Develop an internal and external presence, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for: * Relevant enterprise sales experience, consistently exceeding quota in complex, multi-stakeholder deals * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners) * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences * Bachelor’s degree Preferred qualifications * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ327R41 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in the Nordics to maximise the phenomenal market opportunity that exists for Databricks Sweden. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Sweden and Finland.  The impact you will have: * You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals * You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform * You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement * You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: * Exstensive experience selling complex solutions to Enterprise Customers * You will have experience managing and leading complex, federated sales campaigns in major accounts * You will have experience working in Data, Cloud industries with some technical sales experience * Proof of exceeding sales quotas in high-growth Enterprise software companies  * You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams * You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) * Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan * Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation * Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting * Bachelor's Degree or relevant work experience * Fluency in English is required About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(FEQ427R233) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.  You will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.  Join us in our quest to change how people work with data and make a better world! This role will report to a Field Engineering Manager in the Emerging Enterprises team.  The impact you will have: * Develop customer engagement strategies in partnership with Account Executive(s) for Startup & Digital Native customers in the Nordics region. * Coach junior Solutions Architects and teams on use case prioritization and building technical champions. * You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. * Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. * Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. * Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: * Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset. * Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role. * Able to engage effectively in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Experience influencing decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers. * Skilled in coding with one or more core programming language (i.e., Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark / ability to upskill quickly in distributed computing technologies.  * Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms. Databricks Certification(s) are not a must-have but will be beneficial for the role!   * Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Notes on mandatory requirements:  * Location for the role will be in Stockholm (or within a commutable distance for hybrid schedule). * Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings). #LI-hybrid About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(FEQ427R299) ABOUT THE ROLE At Databricks, we are looking for a Senior Solutions Architect to join our Nordics Hunter team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data & AI platform on Greenfield accounts. You aren't just a technical resource; you are a strategic advisor who raises the bar for how our customers build and reason through data solutions. You will thrive in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful. The Impact You Will Have * Technical Strategy & Leadership: Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level. * Executive Advisory: Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment. * Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface. * Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact. * Mentorship: Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity. What We Look For *Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.* * 8+ years of experience in technical and client-facing roles.  * Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset. * Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals. * Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges. * Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available. * Pre-sales experience is a plus, but we value deep technical expertise and stakeholder management skills above all as key must-haves. * Language & Location: Must be based in Sweden or Denmark with excellent communication skills suited for top-tier customer interactions.   #LI-hybrid About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

REQ# FEQ427R66 Solutions Architect – Data & AI (Presales)  At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice. This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions. WHAT YOU’LL DO * Partner with Account Executives to drive technical sales cycles and customer outcomes * Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders * Build and deliver proof-of-concepts, demos, and solution prototypes using real data * Translate business requirements into practical, scalable data and AI solutions * Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end * Work through technical challenges with customers, iterating and resolving issues as they arise * Contribute reusable assets, patterns, and best practices that accelerate adoption across customers WHAT WE’RE LOOKING FOR CUSTOMER-FACING MINDSET * Experience working with customers in a presales, consulting, or advisory capacity * Ability to communicate complex topics to both technical and non-technical audiences * Comfortable leading discussions that connect business goals to technical decisions HANDS-ON TECHNICAL FOUNDATION * Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets * Understanding of data pipelines and modern data architectures * Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting) * Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected DATA & AI UNDERSTANDING * Familiarity with analytics, data science, or machine learning workflows * Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference) * Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems ARCHITECTURE & PLATFORM UNDERSTANDING * Familiarity with cloud platforms and data technologies * Ability to design solutions that consider scalability, performance, reliability, and data volumes * Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints WHAT MAKES YOU SUCCESSFUL IN THIS ROLE * You are comfortable switching between business dialogue and technical execution * You don’t just describe solutions — you can build, validate, and iterate on them in practice * You take ownership of technical challenges and push problems forward, even when things are not working as expected * You apply structured thinking in discovery and can connect requirements to scalable technical solutions * You understand that AI solutions depend on solid data foundations * You are curious and continuously deepen your technical expertise About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

REQ# FEQ427R34 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have:  * Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. * Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. * Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. * Become a Big Data Analytics advisor on aspects of architecture and design. * Support your customers by authoring reference architectures, how-tos, and demo applications. * Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for: Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset. * Code in a core programming language such as Python  Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform. * Experience diving deeper into solution architecture and Data Engineering. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Build modern Lakehouse solutions with real impact Are you a Data engineer or architect with a passion for Databricks and modern data platforms? Join Knowit in Malmö and help shape scalable, secure, and future ready Lakehouse solutions for leading organizations. Databricks Specialist at Knowit As a Databricks Specialist, you will design and build modern data platforms using Databricks and Lakehouse architecture. You will work across the full data lifecycle, from ingestion to advanced analytics, with a strong focus on performance, governance, and scalability. You will be part of Knowit Solutions Lakehouse, our national initiative across Malmö, Gothenburg, and Stockholm, where we bring together top expertise in Databricks and modern data architecture to deliver strategically important solutions for our clients. Your main responsibilities include: * Designing and implementing Databricks based Lakehouse solutions * Building and optimizing data pipelines for both batch and streaming data * Structuring data for analytics, AI, and ML use cases * Implementing and managing Unity Catalog for data governance * Collaborating with cross functional teams and client stakeholders * Contributing to architecture decisions and best practices in Data engineering Our tech stack, tools and ways of working * Databricks, Azure, AWS * Python, SQL, Apache Spark * Lakehouse, Delta Lake, Unity Catalog * DBT, Airflow * CI and CD, Git, Infrastructure as Code We value continuous learning and encourage you to grow within the Databricks ecosystem. Who are we looking for? We are looking for someone with experience in Data engineering, from mid level Data engineers to senior architects. You have: * Hands on experience with Databricks and cloud platforms * Solid skills in Python and SQL * A curious mindset and a collaborative approach Experience with AI and ML is a plus. What does Knowit Lakehouse offer in Malmö? Knowit is a Databricks partner and we collaborate closely on competence development, initiatives, and client engagements. You will work both in project deliveries and on site with clients, combining long term ownership with hands on experience in complex environments. As part of Knowit Solutions Lakehouse, you will contribute to a growing national capability and work with some of Sweden’s most technology driven organizations. Your closest manager will be COO Emil Raue, an experienced leader in data and consulting, known for his clear and technically grounded leadership and strong employee feedback. We offer a flexible work environment, a strong knowledge sharing culture, and great opportunities to grow within Databricks, Lakehouse, and modern Data engineering. Ready to take the next step? Join Knowit in Malmö and be part of building the next generation of data driven solutions with Databricks and Lakehouse. We look forward to your application!

Om företaget Hos Avaron får du tryggheten i en fast anställning kombinerat med variationen av att arbeta ute hos olika kunder. Vi tillsätter specialister inom allt från teknik, IT och industri till projektledning och affärsstöd – och oavsett uppdrag har du en konsultchef som finns där för dig och din utveckling. Om rollen Du kliver in i en verksamhet där data är en central del av den digitala utvecklingen inom flygplatsnära processer. Teamet ansvarar för en data- och analysplattform som samlar information från viktiga verksamhetssystem och omsätter den till rapporter, insikter och bättre beslut. Just nu pågår en förflyttning där data och rapporter migreras till en ny plattform baserad på Azure Databricks i kombination med dbt. Samtidigt behöver befintliga lösningar i äldre miljöer förvaltas och vidareutvecklas. Rollen passar dig som trivs med att röra dig mellan modern dataplattform, klassisk BI och nära dialog med verksamheten. Det här är en spännande möjlighet för dig som vill skapa konkret affärsvärde i en tekniskt varierad och komplex miljö. ArbetsuppgifterDu utvecklar och underhåller rapporter och dashboards i Power BI utifrån verksamhetens behov. Du bygger nya datalösningar i Azure Databricks med dbt, från datakontrakt och utveckling till automatiserade tester och leverans. Du förvaltar och vidareutvecklar befintliga lösningar i både den nya plattformen och äldre miljöer som SQL Server on-premises och Azure SQL. Du driver ditt arbete framåt i ett agilt team och bidrar i planering, estimering och dialog med verksamheten. Du är med och formar robusta, skalbara och långsiktigt hållbara lösningar med fokus på både teknik och nytta. Du delar kunskap inom teamet och bidrar till ett arbetssätt där struktur, kvalitet och samarbete står i centrum. KravMinst 5 års erfarenhet som Analytics-, BI- eller Data Engineer inom Business Intelligence Dokumenterad erfarenhet av utveckling i Power BI Dokumenterad erfarenhet av utveckling i Azure Databricks Dokumenterad erfarenhet av SQL Server och Azure SQL Dokumenterad erfarenhet av CI/CD i Azure DevOps, GitHub Actions eller motsvarande Dokumenterad erfarenhet av dimensionell datamodellering enligt Kimball eller Inmon Flytande svenska och engelska i tal och skrift Möjlighet att genomgå och godkännas i en säkerhetsprövning (kräver svenskt medborgarskap, dubbla medborgarskap medges ej) Möjlighet att genomföra drogtest MeriterandeErfarenhet av Medallion Architecture (bronze, silver, gold) eller motsvarande Erfarenhet av dbt Erfarenhet av Python Erfarenhet av arbete med on-prem servrar Erfarenhet av automatiserade tester och datakvalitetskontroller Erfarenhet av DevOps-principer Vi erbjuderFast anställning hos Avaron AB Tjänstepension Friskvårdsbidrag på 5 000 kr per år Ansökan Vi tillsätter löpande – sök gärna så snart du kan.

Vår kund inom banksektorn leder vägen i digital transformation genom att bygga intelligenta HR-lösningar. Här får du en nyckelroll i att utveckla en datadriven kultur där dina tekniska insikter direkt påverkar verksamhetens framgång. Om tjänsten Som data engineer i denna roll kombinerar du teknisk expertis med verksamhetsförståelse för att utveckla vår kunds HR Analytics-plattform. Du kommer främst att arbeta med att bygga och underhålla datamodeller i Databricks med PySpark och SQL. Du kommer även sitta med övervakning och bygga vidare på automatiserade flöden i Databricks Workflows. De viktigaste kompetenserna för denna tjänst är också Kimball och praktisk tillämpning av SCD1 & SCD2 och erfarenhet av kodhantering via Azure Devops. Du erbjuds Du erbjuds en spännande miljö där teknik möter personalstrategi, med goda möjligheter att fördjupa din kompetens inom modern dataanalys och cloud-baserade plattformar. Den här rollen innebär att du arbetar som datadeveloper/dataingenjör inom en HR Analytics-plattform. Din huvuduppgift är att bygga, underhålla och optimera datakedjor som samlar in och strukturerar HR-data från olika källsystem för länderna i Norden och Baltikum. Arbetsuppgifter Rollen innebär ett helhetsansvar för att transformera rådata till strategiska beslutsunderlag genom avancerad analys, visualisering och teknisk systemutveckling. Utveckla och optimera komplexa datamodeller med SQL och Oracle, tung analys av data Designa och implementera analytiska lösningar i Databricks Koordinera utvecklingsprojekt och kravställning via Azure DevOps Säkerställa dataintegritet och effektiv backend-struktur för HR-data Identifiera och presentera affärskritiska trender baserat på personalstatistik Samarbeta med backend-utvecklare för att skala upp analysplattformen Vi söker dig som Har mycket erfarenhet inom Databricks, PySpark & SQL Har erfarenhet av Kimball-modellering & SCD1/SCD2 Behärskar Delta Lake Har erfarenhet av Unity Catalog Arbetar i Azure DevOps Mycket erfarenhet av PowerBi Flytande kunskaper i svenska i både tal och skrift Det är meriterande om du har Genomförda studier inom dataanalys Goda kunskaper i engelska Erfarenhet från bank- eller finanssektorn Vår rekryteringsprocess Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work. Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.

Do you want to play a key role in building a modern data platform that enables analytics and AI at enterprise scale? We are looking for a Senior Data Engineer with deep Databricks expertise to join a high-performing platform team. This is an opportunity to combine hands-on engineering with platform development, architecture, and technical enablement in an environment where you'll have a real impact on both technology and ways of working. About the Role As part of a central platform team, you will help build and evolve a modern cloud-based data platform used by multiple development teams. This is not a traditional Data Engineer role focused solely on pipelines—you will contribute to creating reusable frameworks, improving the developer experience, and enabling other teams to succeed. Your responsibilities will include: Developing and improving data ingestion and data product frameworks. Designing and implementing scalable data governance and access control using Unity Catalog. Acting as the go-to Databricks expert, supporting and coaching development teams. Evaluating and introducing new Databricks capabilities to continuously improve the platform. Contributing to a scalable, secure, and user-friendly platform for data, analytics, and AI. We Believe You Have Several years of experience working as a Data Engineer with Databricks in production environments. Strong expertise in Apache Spark, Python, and SQL. Experience with Unity Catalog, data governance, and modern data platform architecture. A background in building reusable frameworks and platform components. The ability to collaborate with engineers, architects, and stakeholders across different teams. Strong communication skills and a passion for knowledge sharing and technical coaching. Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications is considered an advantage. Who You Are You're a collaborative and curious engineer who enjoys solving complex technical challenges while helping others succeed. You take ownership, think long-term, and thrive in environments where you can influence both technical direction and engineering practices. What We Offer A key role in shaping a modern enterprise data platform. The opportunity to work with the latest technologies in Databricks, cloud, data engineering, and AI. A collaborative environment with highly skilled colleagues and short decision-making paths. Significant technical ownership and the opportunity to make a lasting impact. Interested in learning more? Get in touch with us. We'd love to hear from you and tell you more about the opportunity to join an organization where technology, continuous learning, and innovation are at the heart of everything we do. This recruitment is managed by EdZa Group. If you have any questions about the role or the recruitment process, please don't hesitate to contact tyra.nguyen@edzagroup.se.

Build modern data platforms with Databricks at the center Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution. About the role as a Databricks Specialist at Knowit In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform. You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities. Your main responsibilities will include: * Designing and developing scalable data platforms based on Databricks and Lakehouse architecture * Building, optimizing, and orchestrating data pipelines using Python and PySpark * Working with data governance and management through Unity Catalog * Integrating data with BI, AI, and ML solutions to create real business value * Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working * Data platform: Databricks * Programming: Python, PySpark * Cloud platforms: Azure, AWS, and Google Cloud * Data architecture: Lakehouse, modern data platforms * AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.

Build the future of data platforms with Databricks at the core Do you want to work with one of the market’s most powerful data platforms and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help create scalable, modern data solutions – with Databricks and Python at the center. About the role as a Databricks Specialist at Knowit In this role at Knowit in Gothenburg, you will help our clients design, build, and orchestrate modern cloud-based data platforms. You will work with Databricks as the core of these solutions and have the opportunity to stay at the forefront by exploring new features, ways of working, and best practices within the platform. You will be part of a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and continuous technical development are a natural part of everyday work. As a selected Databricks partner, we work closely with the platform and continuously stay up to date with new capabilities. Your main responsibilities will include: Designing and developing scalable data platforms based on Databricks and Lakehouse architecture Building, optimizing, and orchestrating data pipelines using Python and PySpark Working with data governance and management through Unity Catalog Integrating data with BI, AI, and ML solutions to create real business value Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working Data platform: Databricks Programming: Python, PySpark Cloud platforms: Azure, AWS, and Google Cloud Data architecture: Lakehouse, modern data platforms AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one – your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value. What does Knowit offer in Gothenburg? At Knowit in Gothenburg, you will be part of a culture characterized by collaboration, curiosity, and technical excellence. You will work on exciting and varied projects across industries such as retail, finance, automotive, and manufacturing, where Databricks, Python, and modern data platforms are at the core. We offer a high degree of flexibility in how you work and the opportunity to work with your preferred major cloud platform depending on client needs. At the same time, we invest long-term in your development through continuous learning, including training, certifications, and conferences. You will be based at our modern office in Gothenburg, with the possibility of a flexible work setup, and become part of a company that values work-life balance – where you also get to help shape the future of data engineering together with Knowit. Are you ready to shape the future of data platforms? We believe the future of data engineering is Databricks-driven. Do you want to help shape it together with us at Knowit in Gothenburg? Welcome to apply – we look forward to hearing from you!