Sökresultat för "Redshift"

Key Responsibilities 1. Technical Leadership Lead the design and development of BI architecture, data models, and data pipelines. Define best practices for data warehousing, ETL/ELT processes, and reporting. Review code and ensure high-quality, maintainable BI solutions. Select appropriate BI tools and technologies. 2. BI Solution Development Design and develop dashboards, reports, and analytics solutions. Optimize data models for performance and scalability. Implement data transformations, aggregation, and business logic. Common tools include: Microsoft Power BI Tableau Qlik Sense 3. Data Engineering & Architecture Design data warehouse or lakehouse architecture. Develop ETL pipelines using tools like: Azure Data Factory Apache Airflow Informatica Work with databases such as: Snowflake Amazon Redshift Google BigQuery 4. Team Leadership Lead and mentor BI developers and data engineers. Conduct design reviews and technical guidance. Ensure agile development practices. 5. Stakeholder Collaboration Work with business teams, product owners, and analysts. Translate business requirements into technical BI solutions. Deliver insights to support strategic decision-making. 6. Data Governance & Quality Ensure data consistency, security, and governance. Define data standards, naming conventions, and validation rules. Implement monitoring and data quality checks. Required Skills Technical Skills Strong SQL and database design Data modeling (Star Schema, Snowflake Schema) ETL/ELT pipeline design BI tools (Power BI / Tableau / Qlik) Cloud platforms: Amazon Web Services Microsoft Azure Google Cloud

Vill du vara med och bygga moderna, affärskritiska datalösningar? Vi söker nu en Data Engineer som vill ta en central roll i utvecklingen av vår kunds dataplattform. Här får du arbeta med avancerad SQL, dbt och robusta ETL-flöden samtidigt som du bidrar till en spännande AI-satsning som lyfter både effektivitet och datakvalitet. Välkommen in till din ansökan!Om tjänsten I rollen som Data Engineer hos vår kund kommer du att arbeta med att utveckla och optimera affärskritiska SQL-queries samt bygga och vidareutveckla dbt-modeller. Du får möjlighet att: Designa datamodeller för både historisk och aktuell data Implementera och optimera schemalagda jobb i Airflow Arbeta med releaser, migreringar och rollback-skript Felsöka dataproblem och genomföra root cause analysis Samarbeta nära verksamheten för att omvandla affärskrav till tekniska lösningar Utveckla och implementera ETL-processer från skandinaviska dataleverantörer Du får en central roll i att säkerställa att företagets datalösningar är tillförlitliga, effektiva och håller hög kvalitet. Vi söker dig som harMycket goda kunskaper i SQL Minst en högskoleutbildning inom relevant område Praktisk erfarenhet av dbt God förståelse för datamodellering Erfarenhet av Git Stark problemlösningsförmåga och analytiskt tänkande Mycket goda kunskaper i Python Erfarenhet av release- och versionshantering i databasmiljö Kunskap om kodkvalitetsverktyg som SQLFluff och Ruff Flytande svenska och engelska i tal och skrift MeriterandeFördjupad kunskap inom AWS (S3, Glue, IAM, VPC) Avancerad användning av dbt (macros, custom tests, packages) Erfarenhet av prestandaoptimering för stora datamängder Erfarenhet från kredit-, risk- eller inkassobranschen Vana att arbeta med Cursor Erfarenhet av XSLT-stylesheets Erfarenhet av jq Erfarenhet av Apache Airflow Erfarenhet av Amazon Redshift Vår kund satsar just nu stort på AI för att effektivisera arbetet och förbättra datakvaliteten. Har du erfarenhet av – eller ett starkt intresse för – AI inom databashantering och dataanalys är det ett plus. Om anställningenFör denna tjänst bli du direktanställd av kundbolaget. VillkorOmfattning: Heltid Start: Enligt överenskommelse Placering: Göteborg. Om du jobbar remote, förväntas du resa några få gånger till Göteborg per år. Rekryteringsansvarig: Stina Högström Lön: Marknadsmässig månadslön  Ansök genom att klicka på länken nedan. Kom ihåg att vara snabb med din ansökan då vi gör löpande urval av kandidater och att annonsen kan stängas ner innan tjänsten är tillsatt om vi gått över till urvals och intervjufasen. Om friday: På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet. Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas. Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer on our Recommendations and adVantage teams, you will build and own the data foundation behind Truecaller's recommendation and advertising ML systems. That means the feature pipelines, streaming event ingestion, training datasets, and real-time feature serving that power the retrieval, ranking, and contextual-bandit models deciding what hundreds of millions of users see. This is a hands-on platform role at the point where large-scale data engineering meets production machine learning. What you'll do: * Build and own the feature and training-data pipelines behind our retrieval, ranking, and contextual-bandit models, taking raw events all the way to model-ready features. * Design streaming pipelines that close the loop between serving and learning, capturing impressions, clicks, and conversions in near real time so models retrain on fresh signal. * Stand up and maintain a real-time feature store so features stay consistent between offline training and low-latency online inference. * Own the ad-event and attribution data backbone: clean, reconciled pipelines for delivery, billing, and third-party attribution partners. * Partner directly with data scientists to move models from notebook to production, owning the data contracts, freshness SLAs, and lineage they depend on. * Build reusable, config-driven frameworks so new models and campaigns onboard without bespoke pipeline work each time. * Keep the platform reliable at scale: billions of events daily within defined SLAs, backed by monitoring, data-quality checks, and dependable backfills. * Set best practices and processes around pipeline design, testing, and data modeling across the team. What you bring in: * Strong programming skills in Python and Spark, with a track record of building complex, large-scale ETL/ELT pipelines. * Hands-on experience with an orchestration tool such as Airflow, feeding ML or analytics workloads in production. * Experience working with large datasets on a major cloud provider (GCP preferred; AWS or Azure also fine). * Solid software engineering fundamentals: testing, CI/CD with Git and Jenkins or similar, and code you would be happy to maintain. * Comfort working shoulder to shoulder with data scientists and ML engineers, and a clear understanding of what production ML needs from data - features, freshness, consistency, and lineage. * Excellent problem-solving and communication skills, and the self-motivation to own problems end to end. It would be great if you also have: * Experience with streaming systems such as Kafka, Flink, or Spark Structured Streaming. * Experience with a feature store (Feast, Vertex AI, Tecton, or in-house). * Exposure to recommendation, ranking, or ads from ML systems and the data they rely on. * Knowledge of Kubernetes. * Experience managing a data warehouse in BigQuery (preferred) or Redshift. What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users. What you'll do: * Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs * Provide support for all teams in building and optimizing their complex pipelines * Work closely with other teams to identify pain points and problems around the platform * Develop new tools and frameworks to improve the data platform * Facilitate a company-wide, data-driven culture * Work in close collaboration with data scientists and data analysts to help support their work going into production * Work on large-scale projects such as building an ML platform and streaming use cases * Set up best practices and processes around software and data development What you bring in: * Experience working with an orchestration tool (e.g., Airflow) * Experience working with large data sets * Experience building complex ETL pipelines * Experience working with cloud providers such as GCP * Strong programming skills in Spark with Scala and Python * Experience working with CI/CD tools like Jenkins and Git * Strong understanding of software engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated with a proven ability to take initiative to own and solve problems as they come up It would be great if you also have: * Experience working with messaging systems like Kafka * Knowledge of Kubernetes * Hands-on experience with any streaming platform * Experience managing a data warehouse in BigQuery or Redshift What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Data Engineer, you will play an important role in the Data infrastructure team, which is responsible for building and maintaining a scalable, robust, self-service analytics platform. What you'll do: * Maintaining and improving the ingestion pipeline to reliably deliver billions of events daily in a defined SLA * Provide support for all teams in building and optimizing their complex pipelines * Work closely with other teams to identify pain points and problems around the platform * Develop new tools and frameworks to improve the data platform * Work in close collaboration with data scientists and data analysts to help support their work in production * Work with vast projects such as building an ML platform and streaming use cases * Set up best practices and processes around software and data development What you bring in: * 3+ years of experience in data engineering  * Experience working with an orchestration tool (ex, Airflow) * Experience working with a large data set * Experience building complex ETL pipelines * Experience working with cloud providers such as GCP, AWS, or Azure * Strong programming skills in Spark with Scala and Python * Experience working with CI/CD tools like Jenkins and Git * Strong understanding of Software Engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated and have a proven ability to take the initiative to own the problems that come up and solve them It would be great if you also have: * Working with messaging systems like Kafka * Knowledge of Kubernetes * Hands-on experience with any streaming platform * Experience managing a data warehouse in BigQuery or Redshift What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.

Om kunden Bolaget utvecklar plattformar och system för iGaming-branschen och har idag en ledande position på marknaden. Resan började med en pokerprodukt och har sedan dess vuxit till att även omfatta en casinoplattform som används av företag världen över. Genom att licensiera sina produkter ger de kunderna verktyg att vidareutveckla sina erbjudanden och skapa framgång i sin egen verksamhet. Dina arbetsuppgifter Som Data Engineer blir du en viktig del av ett mindre Data & Insights-team med ansvar för att utveckla, stabilisera och framtidssäkra kundens dataplattform. Rollen är hands-on och kombinerar operativt arbete i den befintliga miljön med ett långsiktigt ansvar för hur arkitektur, pipelines och datamodeller ska utvecklas i takt med verksamhetens tillväxt. Du arbetar nära både interna team och B2B-kunder och bidrar till att göra data tillgängligt, tillförlitligt och användbart i det dagliga arbetet. Här finns stor möjlighet att påverka teknikval, arbetssätt och hur nästa generations dataplattform ska formas. Exempel på arbetsuppgifter Ta ägarskap för kundens dbt-projekt och utveckla datamodeller för dashboards och rapportering Förvalta, övervaka och vidareutveckla ELT-pipelines Felsöka och lösa incidenter kopplade till datakvalitet, dataflöden och prestanda Bidra till utformningen av en modern och skalbar dataarkitektur Vara med och utveckla nästa generations dataplattform Arbeta med multitenant-datainfrastruktur för kunder i flera regioner Stötta B2B-kunder i användningen av data via Metabase Utforska och utveckla AI-drivna dataverktyg Din kompetens Vi söker dig som vill kombinera tekniskt djup med ett helhetsperspektiv på hur en dataplattform byggs, förvaltas och förbättras över tid. Du trivs i en självständig roll där du får ta ansvar, arbeta pragmatiskt och driva lösningar från idé till fungerande leverans. Skallkrav Erfarenhet av data engineering, analytics engineering eller liknande roll God förståelse för dataflöden och datalösningar Mycket goda kunskaper i SQL Förståelse för prestandaoptimering Erfarenhet av Redshift, Snowflake, BigQuery eller liknande datalager Erfarenhet av molnbaserade miljöer Erfarenhet av ELT-/ETL-pipelines Svenska och engelska i tal och skrift Meriterande är erfarenhet av dbt, lakehouse-arkitektur, multitenant-lösningar, iGaming och AI-verktyg i det dagliga arbetet. Som person är du självständig, kommunikativ och trygg i att samarbeta även med personer utan teknisk bakgrund. Övrigt Lön: Fast månadslön Omfattning: Heltid, tillsvidare Start: Omgående med hänsyn tagen till din eventuella uppsägningstid Placeringsort: Stockholm Vi behandlar ansökningar löpande och tjänsten kan komma att tillsättas innan ansökningstiden har gått ut, skicka din ansökan redan idag! Om oss Procruitment är Sveriges enda karriärbyrå inom IT, tech och engineering som genom proaktiv rekrytering förenar attraktiva arbetsgivare med människor som delar samma mål och ambitioner. Oavsett om du är en erfaren ledare eller om du ska ta ditt första steg ut i karriären hjälper vi dig att nå dina karriärmål - samtidigt som vi bryr oss om dig, din resa och att du mår bra längs vägen. Procruitment är stolta vinnare av Recruitment Awards och är utsedda till Årets Rekryteringsföretag och Årets Raket samt Gasellföretag 2024 av Dagens Industri.

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

As a Data Engineer at Kreditz, you will have a multifaceted and vital role. You will step into one of Europe’s fastest-growing FinTech scaleups and take full ownership of the company’s Data Warehouse, pipelines, and reporting enablement. We believe this role is perfect for someone who loves building scalable data infrastructure and wants to work close to both product and real business impact. Here, you will become part of a driven organization with endless opportunities for growth! About the role You will be part of the Product team and play a crucial role in Kreditz’s continued growth journey. At Kreditz, data is not just a support function – it is the core of the entire product. The company turns raw bank transactions into real-time insights that power credit and risk decisions across Europe. As a Data Engineer, your mission is to build, evolve, and maintain a scalable, reliable, and high-performing data platform. You will work closely with the business to strengthen the data foundation and enable smart, cost-efficient reporting and analytics for both internal and external stakeholders. What Kreditz Offers You A unique growth journey: The chance to be part of a once-in-a-lifetime journey from startup to global scaleup. Real impact: A role where everyone in the team plays a crucial part in the company’s success, and where you get true ownership of the data infrastructure. A strong company culture: A fun-loving, driven, and passionate work environment that celebrates progress, humility, and teamwork – we win together. Perks & Benefits: 24/7 access to a gym, sauna, and sports facilities at the office, plus a wellness allowance and a competitive base salary. Work tasks You will be responsible for the end-to-end data lifecycle, from maintaining the DWH architecture to ensuring data quality for both analytical and operational needs across the company. Maintain and enhance the Data Warehouse architecture for scalability and cost-efficiency Design and build robust ETL/ELT pipelines within the AWS ecosystem Automate internal reporting and create self-service data environments for stakeholders Manage AWS services including Glue, Redshift, Athena, and Lambda Implement monitoring and validation frameworks to ensure data integrity Collaborate with DevOps and Backend teams to align infrastructure Support AI and ML models by assisting with specialized data pipelines We are looking for BSc / MSc in a quantitative subject, i.e., Physics, Engineering, Mathematics, Computer Science or equivalent. Proven experience working as a Data Engineer or in a similar role focusing on data infrastructure. Strong practical engineering skills with a solid foundation in SQL and programming (e.g., Python). Strong hands-on experience with AWS (specifically services like Redshift/Snowflake, S3, Glue, and Lambda). Solid understanding of data warehousing concepts (e.g., Star Schema, Kimball) and modern data stack tools. Experience with orchestration tools (e.g., Airflow, Dagster) and CI/CD workflows (i.e., GitHub Actions). Ability to translate complex technical data structures into clear insights for non-technical stakeholders. Professional fluency in English, both written and spoken, as this is the company’s working language. It is meritorious if you have Experience with Infrastructure as Code (Terraform). Experience from FinTech, Open Banking, or working with highly regulated data. Familiarity with BI tools (e.g., AWS QuickSight, PowerBI...etc) To succeed in the role, your personal skills are: Orderly Stable Responsible Intellectually curious Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Om Vimla! Vimla är den snabbfotade kusinen i Telenor-familjen som erbjuder mobiltelefoni med en twist! Vi tar kundfokus och schyssthet till en ny nivå på den svenska mobilmarknaden. Hos oss står kunden i centrum, genom enkelhet, transparens och en genuin vilja att skapa värde. Det ska vara enkelt och roligt att vara kund hos oss. Resultatet? Sveriges Nöjdaste Mobilkunder 2022, 2023, 2024 och 2025! Vi är Vimla – mobiloperatören med bra vibrationer! Vimla är en helt digital mobiloperatör där data är en kritisk del av produkten. Nu har du chansen att joina Team Vimla i rollen som Lead Data Engineer. Ta chansen och sök nu! Vad du kommer att göra Som Lead Data Engineer äger du Vimlas dataplattform. Din kärna är teknik men ditt intresse sträcker sig ut i affären och organisationen. Du balanserar hands-on-arbete med tekniskt ledarskap i en miljö där data driver allt från BI och analys till framtida AI-initiativ. Din första prioritet är att skapa en robust, skalbar och långsiktigt hållbar teknisk grund. Du blir en del av en öppen och prestigelös kultur där vi hjälper varandra, delar kunskap och prioriterar tillsammans. Huvudarbetsuppgifter: Äga och driva den tekniska utvecklingen av dataplattformen – från ingestion och transformation till warehouse och konsumtion (Airflow, Python, Redshift, Tableau) Designa, bygga och förbättra datapipelines och datamodeller hands-on Designa och vidareutveckla vår dataarkitektur i AWS Säkerställa datakvalitet, governance, lineage, testning och monitorering genom hela plattformen Äga integrationer mot marknadsautomationsplattformar (idag Adobe Campaign) end-to-end Driva CI/CD, automation och best practices för datadomänen Samarbeta tvärfunktionellt med produkt, teknik och kommersiella team Coacha och mentorera teamets Data Engineer Rollen innebär inte personalansvar, men kräver ett tydligt tekniskt ledarskap och förmåga att driva arbete genom andra. Vi tror att du kommer trivas hos oss om du… … är nyfiken, strukturerad och handlingskraftig, med djup teknisk kompetens och förmåga att växla mellan helhet och detalj … har stark erfarenhet av datamodellering, data warehousing och pipelineutveckling i en modern datastack … är bekväm med Python, SQL, Airflow och har god förståelse för molnbaserade datalösningar … har förmåga att ta tekniska beslut och driva arkitektur i miljöer med hög komplexitet över tid … har flera års erfarenhet av data engineering eller liknande i en digital miljö … kan kommunicera muntligt och skriftligt på svenska då det är vårt företagsspråk Meriterande: erfarenhet från telekom eller annan abonnemangsaffär, universitetsexamen inom datavetenskap, matematik, fysik eller annat kvantitativt område, samt erfarenhet av BI-verktyg som Tableau. Vi värderar ditt utforskande mindset, tekniska tänkande och förmåga att bygga robusta system högre än erfarenhet av vår exakta tekniska stack. Vårt löfte Rollen passar dig som vill ha reellt ansvar, korta beslutsvägar och äga en hel dataplattform i en miljö där inte allt är perfekt från början, men där du har möjlighet att påverka på riktigt. Hos oss blir du en del av ett skickligt team som delar kunskap, stöttar varandra och driver utvecklingen framåt tillsammans. Vi värdesätter olika perspektiv och erfarenheter och arbetar aktivt för en inkluderande miljö där du kan utvecklas och få mandat att göra skillnad. Dessutom får du: Kontor för samarbete, kreativitet och företagsanda - vi tror att vi är bättre tillsammans och att lagandan utvecklas när vi träffas och interagerar personligen Ett generöst hälso- och förmånspaket med friskvårdsbidrag, sjukförsäkring, "ge mig en paus"-dagar, tjänstepension och mycket mer. Utvecklingsprogram för att fördjupa dina kunskaper och bredda din kompetens Ansök idag! Om du är intresserad och vill veta mer, kontakta Marcus Jonsson, Acting Head of Tech: marcus.jonsson@vimla.se Ansök genom att följa länken "ansök" i annonsen. Vänta inte med att söka, vi går igenom ansökningar regelbundet. Vi utvärderar inte CV:n som skickas direkt till oss på e-post. Bra att veta I enlighet med Telenors policy genomför vi en bakgrundskontroll på slutkandidater i alla rekryteringar. Plats: Stockholm, Råsunda Flexibelt arbete: Ja, med 3 dagar/vecka på kontor

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Join the team behind Neo4j Graph Analytics for Snowflake, our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands-on, mid-to-senior role at the intersection of graph analytics, cloud-native distribution, and DevOps, with a meaningful say in the platform's technical direction. WHAT YOU'LL DO * Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform. * Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses. * Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services. * Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning. * Collaborate with customers and Solution Engineers to turn real-world requirements into scalable features. * Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments. WHAT YOU'LL BRING * 4+ years of professional experience building and shipping production-quality software. * Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar). * Solid grounding in at least one of Java or Python, and willingness to be effective in both. * A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product. * Experience designing software for performance, scalability, and predictable cost on cloud infrastructure. BONUS POINTS * Hands-on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale. * Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.). * Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them. * Background in distributed systems, JVM performance tuning, or columnar/analytical query engines. Experience working in a distributed, remote-first team and shipping to enterprise customers. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

TL;DR - We're looking for an Analytics Engineer to own the data foundation that powers financial reporting and analysis at Lovable. You'll build the models that connect billing, subscriptions, and revenue data to ensure Finance has accurate, auditable data for reporting, forecasting, and decision-making. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for Familiarity with subscription/SaaS metrics (MRR, ARR, churn, LTV, cohort analysis) Experience working with billing and payment data (Stripe, Chargebee, or similar) Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Understanding of dimensional modeling, data contracts, and metrics/semantical layers. Hands-on experience with data transformation tools (SQLMesh, dbt, or similar) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Attention to detail and understanding of why accuracy matters for financial data What you will do Build and maintain dimensional models (SQLMesh) for revenue recognition, subscription metrics, and financial reporting Create foundational tables for MRR/ARR, churn, expansion, contraction, and cohort-based revenue analysis Manage ingestion pipelines for financial data sources (Stripe, billing systems, payment processors) Reconcile data across systems to ensure accuracy between source of truth and reporting layers Define and document business logic for financial metrics (recognized revenue, deferred revenue, bookings) Monitor data quality and implement validation checks for financial data integrity Partner with Finance to translate reporting requirements into reliable, well-structured data models Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

What you’ll do Own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage. Design for AI-agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine-readable data contracts. Build & run pipelines (batch + streaming) that feed UW scoring, real-time decisioning, monitoring, and underwriting optimization. Instrument quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root-cause reviews. Partner closely with Credit Portfolio Management, Policy teams, Modeling teams, and treasury and finance teams to land features for RUE and consumer-centric models, plus regulatory and management reporting. Tech stack (what we use) Languages: SQL, PySpark, Python Frameworks: Apache Airflow, AWS Glue, Kafka, Redshift Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD What you’ll bring Proven ownership of mission-critical data products (batch + streaming). Data modeling, schema evolution, data contracts, and strong observability chops. Familiarity with AI/agent patterns (agent-friendly schemas/endpoints, embeddings/vector search).

TL;DR - We are looking for analytics engineers to own the semantic and modeling layer of our warehouse by transforming raw data into well-defined, trustworthy datasets and metrics. You are obsessed with analytical consistency, designing impactful metrics, and building strong foundations for self-service analytics. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we are looking for: Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs) Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc) Understanding of dimensional modeling, data contracts, and metrics/semantical layers Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc) Strong business acumen and ability to translate domain logic into scalable data structures What you will do: Build and maintain data models, following modular, tested, and version-controlled practices Partner with domain teams to understand business logic and codify it into reusable models and metrics Define and document key metrics and data contracts across domains Collaborate with Data Platform Engineers to optimize query performance and warehouse cost Automate and maintain data documentation, lineage, and governance standards Develop guidelines for analytics development, data modeling and structure conventions Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! How we hire Fill in a short form then jump on an intro call with recruiter. Complete the general programming exercise. Show us how you approach problems during several technical interviews. Tell us about your most impressive project. About your application Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join We treat all candidates equally - if you’re interested please apply through our careers portal

Providing Value & Impact - SwedQ. SwedQ is a consultancy company that has lately proven to have a unique model for those who want to grow, create a legacy, and take on challenges that both add and gain value. Year after year, we have managed to serve clients within a wide range of industries (intentionally excluding gambling and weaponry). During this time, we have also grown steadily—in revenue, in team size, and in the impact of our deliveries. We are looking for someone who wants to be part of the company in a literal sense. That means taking on the technical challenges as well as getting a portion of the company in the future. If you would like, you can also drive your own ideas forward and implement them with us. You’ll be working closely with everyone here, which makes it easy to bring change and act on what you believe in. What's in it for you? The question goes back to you: what do you want (with common sense or not)? Some people value fixed salaries, pensions, and stability. Others want a bigger share of the pie and are ready to share the risks. Let’s talk that through. One thing is certain—we’ll make sure you find your “it,” whether that’s with us in-house or with our clients. We’ll shape the role to fit both your needs and ours. The good thing? You will be surrounded by people who are technically savvy, giving you plenty of opportunities to teach and learn. And if not technically, then perhaps in entrepreneurship. We know - it’s a lot of questions. That’s why we have interviews, right? Who are you: At least 5 years of hands-on experience building, owning, and operating production-grade data pipelines in complex, data-intensive environments Strong experience designing and evolving batch-based ETL / ELT pipelines that power externally facing analytics products and dashboards used at scale Proven ability to transform raw event- and transaction-level data into trusted, business-critical KPIs, including funnel metrics, performance indicators, and customer insights Deep expertise in Python and advanced SQL, with a strong focus on analytical queries, feature engineering, and correctness at scale Experience automating and standardizing reporting workflows, replacing manual or semi-automated processes with robust, maintainable data products Strong understanding of data modeling, schema evolution, metric definitions, and data quality in analytical data warehouse environments Hands-on experience optimizing SQL-heavy pipelines, removing unnecessary transformation layers, and improving end-to-end data efficiency Experience collaborating closely with Product Analytics, Data Modeling, and Product Engineering teams to translate business needs into scalable technical solutions Familiarity with workflow orchestration and dependency management using tools such as Airflow (or equivalent schedulers) Experience working with batch and ELT-style pipeline patterns in modern data platforms Solid hands-on experience with AWS (e.g. S3, Redshift, IAM) and analytical data warehouses such as Redshift or similar Experience with CI/CD and production deployment best practices for data systems (e.g. Jenkins, Git-based workflows) Ability to take strong ownership of mission-critical data products, with a clear focus on reliability, scalability, and long-term maintainability Interest in building data platforms that go beyond reporting — enabling trend analysis, behavioral insights, performance measurement, and data-driven recommendations Experience from fintech, payments, or other regulated environments is a strong plus Strong analytical mindset, problem-solving skills, and the ability to clearly communicate complex data concepts to both technical and non-technical stakeholders Experience with basic front-end or visualization technologies (e.g. React) is a nice-to-have Fluent in English and Swedish SwedQ culture SwedQ began with siblings who brought in people they knew. Those people recommended friends, and from there, the company grew further through open head-hunting. Over time, we’ve built a diverse team with different backgrounds, experiences, and insights. We made sure to amplify this diversity by embracing independence and accountability while driving value-creating work. At the same time, we make sure to have fun—with epic football tournaments, unforgettable trips, and great dinners. Perks & Benefits Competitive salary—you decide your preferred salary model Budget to spend on health and gym Generous developer budget Monthly payments into your additional pension fund Private health insurance Private healthcare Office in the city – a stone’s throw from public transport and lunch restaurants Breakfast in the SwedQ office EVERYDAY Support for open-source projects and community engagement Kick-ass colleagues and mentors at every corner Company car (or car allowance) Benefits to make life easier—home cleaning, childcare, and more

TL;DR - We are looking for data engineers to design, build, and maintain the end-to-end declarative data platform that powers ingestion, transformation, and consumption across Lovable. You are obsessed about empowering teams to ensure data systems are scalable, reliable, safe and easy to use. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. WHAT WE ARE LOOKING FOR: * Strong experience with cloud-based data platforms (Snowflake, BigQuery, Redshift, Databricks or similar). * Deep understanding of data ingestion frameworks, orchestration(Airflow, Dagster, Prefect or similar) and infrastructure as code (Terraform, Pulumi or similar). * Familiarity with event-driven architectures (Kafka, Pub/Sub, Kinesis or similar). * Proficiency in SQL, and distributed systems. Knowledge in Go is a plus. * Strong communication and documentation skills. Be able to align technical details with strategic goals. WHAT YOU WILL DO: * Develop and maintain core data infrastructure (data lake, warehouse, orchestration, observability, governance). * Partner with other platform and domain teams to design data pipelines and implement declarative configuration for ingestion and transformation. * Ensure data quality, lineage, and security standards are embedded across all workflows. * Collaborate with Analytics Engineers to define modeling conventions and enforce schema governance. * Implement CI/CD pipelines for data systems and assist with cost optimization and performance tuning. * Define data platform best practices and support self-service enablement. OUR TECH STACK We're building with tools that both humans and AI love: * Frontend: React * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, Many LLM providers * DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform) And always on the lookout for what's next! HOW WE HIRE 1. Fill in a short form then jump on an intro call with recruiter. 2. Complete the general programming exercise. 3. Show us how you approach problems during several technical interviews. 4. Tell us about your most impressive project. About your application * Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join * We treat all candidates equally - if you’re interested please apply through our careers portal