
Knowit AB (Publ) · Göteborg
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 experti...
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.
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!
At the Vitrolife Group, we work every day to unlock the full potential of science and technology to reduce the barriers towards building a family. Together we help our customers and their patients to fulfill the dream of having a baby. Shape the Platform, Enable Domains, Build for Scale We are looking for a Senior Data Engineer to join our Group Analytics enabling team. This is a key role in establishing and evolving our global data platform, with Microsoft Fabric and the Azure ecosystem as the primary technology direction. You will combine hands-on data engineering with architectural responsibility, helping us build scalable, governed, and automated data platform capabilities. The role is central to our ambition to move from fragmented and manually maintained legacy solutions toward a modern, domain-oriented data platform that enables trusted analytics, self service, and future AI/ML use cases. This is an opportunity for someone who enjoys building for scale, setting technical direction, and enabling others through strong engineering standards, reusable patterns, and practical guidance. Your Mission As a Senior Data Engineer, you will help design, build, and mature our global data platform. You will work with Microsoft Fabric, lakehouse and medallion architecture, reusable data pipelines, analytical data models, and modern engineering practices. You will play an important role in enabling a federated, data mesh-inspired operating model, where domain teams can own and evolve their data products within clear technical and governance guardrails. Depending on your profile, you may also take architectural responsibility for selected platform capabilities, patterns, and technical decisions. Experience from other modern lakehouse platforms, such as Databricks, Spark, or PySpark, is highly relevant where it strengthens your ability to design scalable and automated data solutions. What You’ll Do • Help design, build, and evolve our Microsoft Fabric-based global data platform, including scalable pipelines, lakehouse patterns, and analytical data models. • Develop reusable engineering standards, templates, and governed data objects that enable domain teams to build and manage data products. • Apply modern engineering practices such as Git, CI/CD, monitoring, documentation, testing, and infrastructure-as-code principles such as Terraform. • Embed security, access control, GDPR/PII handling, lineage, and metadata requirements into platform delivery. • Work closely with enterprise architects, data engineers, data analysts, data scientists, business stakeholders, and domain teams. • Mentor colleagues and support the modernization and deprecation of legacy BI/DW solutions. What You Bring • Senior-level data engineering experience with strong hands-on delivery, architectural understanding, and ability to design scalable platform solutions. • Strong SQL and Python skills, with Microsoft Fabric experience or transferable lakehouse expertise from Databricks, Spark, PySpark, or Delta Lake. • Experience with production-grade data pipelines, medallion/lakehouse architecture, analytical data modeling, and domain-oriented data design. • Experience with modern engineering practices such as Git, CI/CD, DevOps, monitoring, and preferably infrastructure-as-code principles such as Terraform. • Good understanding of data governance, metadata, lineage, access control, GDPR, and PII handling. • Collaborative mindset, with the ability to create reusable patterns and translate business and analytical needs into scalable technical solutions. Why Join Us? You will be part of shaping the foundation for how data is managed, governed, and used across the organization. This is a chance to help build the platform many data engineers wish they could build from the start: scalable, secure, automated, metadata-driven, and designed for future AI and agent-enabled ways of working. You will influence platform architecture, establish reusable engineering patterns, and help domain teams become more self-sufficient with data. The role contributes directly to the shift from fragmented legacy solutions toward a trusted global data platform for analytics, self-service, and future AI/ML capabilities. You will join an enabling analytics team with a clear ambition: to make data more accessible, reusable, and reliable across the business. Please note that this role is based in Valencia or Gothenburg. Applications will be reviewed on an ongoing basis, so please submit your application as soon as possible. Vitrolife Group is a global provider of medical devices and genetic services. Based on science and advanced research capabilities, we develop services and products for personalized genetic information and medical device products. We support our customers by improving their clinical practice for the patient's outcome of fertility treatment. We are currently approximately 1 100 colleagues worldwide, with headquarters in Gothenburg, Sweden. Vitrolife Group's products and services are available in more than 110 countries through our own presence in 30 countries and a network of distributors. Vitrolife Group is a sustainable market leader and aims to be the preferred partner for IVF-clinics by providing superior products and services with the vision of fulfilling the dream of having a baby. The Vitrolife share is listed on Nasdaq Stockholm.
About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description Required Skills & Technologies Core Programming & Development 1. Python (3.9-3.11) - Primary language; requires solid. Senior proficiency 2. Object-Oriented Programming - Complex class hierarchies, inheritance patterns 3. Multiprocessing & Concurrency - Process management, queues, events, threading 4. Worked with Enterprise software for Automotive 5. Production ETL pipeline experience 6. Automotive/testing industry knowledge 7. Complex distributed system design experience Data Engineering & ETL 1. ETL/ELT Pipelines - Core focus of the repository 2. Data Processing - Large-scale test bed data ingestion Sympathy for Data - Domain-specific data processing framework (key requirement) File Processing - Multiple formats (.sydata, .h5, various test data formats) Cloud & Infrastructure 1. Azure Experience Windows Server - Deployment target environment GitHub Actions - CI/CD pipelines Poetry Database Technologies Oracle Database SQL MongoDB Specialized Knowledge Test Bed Systems - Automotive testing domain knowledge Additional Technical Skills Windows-specific: • PowerShell scripting • Windows service deployment Logging & Monitoring, on file system level and to Grafana Network & File Systems: • Network drive mounting • SMB/CIFS protocols • NAS interactions Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.
ALTEN Sweden is now looking for several Design Engineers with expertise in Body in White (BIW) and sheet metal design to join an exciting project in Gothenburg. You will work at the forefront of automotive innovation, contributing to the development of next-generation vehicles by designing and optimizing body structures, primarily focusing on door structures (DIW), and Hang-on-Parts (HOP). In this role, you’ll use advanced CAD tools like Catia V5/V6 to create high-quality designs while collaborating with cross-functional teams to ensure manufacturability and performance. About the role As a Design Engineer, you will play a key role in shaping the future of vehicle design. Your responsibilities will include: Designing and developing body components using Catia V5, ensuring precision and innovation. Working with Teamcenter for seamless product data management and team collaboration. Optimizing sheet metal structures for weight reduction, cost efficiency, and durability. Collaborating with manufacturing and quality teams to ensure designs meet production standards. Contributing to structural analysis (FEA) and tolerance setting (GD&T) to enhance performance and safety. Who You Are We’re seeking a skilled engineer with: Proven experience in BIW (Body in White) and sheet metal design. Strong proficiency in Catia V5 for 3D modeling and surface design. Familiarity with Teamcenter or similar PLM systems. Knowledge of Door Strucutres. A background in the automotive industry. Have an education in mechanical engineering or equivalent experience. Local OEM experience About ALTEN ALTEN is one of Europe’s largest consulting companies within Engineering, IT and Life Sciences with over 54,000 employees in more than 30 countries. We’re a global actor with a local presence with 1400 committed colleagues in offices from Lund in the south to Skellefteå in the north. Our engineers carry out complex and highly technical projects throughout the product development chain of the most prestigious companies in sectors such as Automotive, Aerospace & Defense, Energy, Manufacturing, Public Sector and Life Sciences. For four years in a row, ALTEN has been named one of Sweden’s most attractive employers by Karriärföretagen, an award for employers that offer unique career and development opportunities.