CareerPlanGet AI match score →

Senior Data Engineer / Databricks Champion

Stockholm, Sweden💼 Full-time🗓 2026-07-03 → 2026-07-31

Core

Building and evolving a modern cloud-based data platform enabling analytics and AI at enterprise scale, focusing on reusable frameworks and developer experience.

Role type

Senior Data Engineer / Databricks Champion

Builds

Reusable data ingestion frameworks, data product frameworks, and scalable data governance/access control systems.

Domain

Cloud data engineering, AI/ML infrastructure, Enterprise data platforms

Deliverable

production ML models | infrastructure

Required skills

Apache Spark, Python, SQL, Databricks, Unity Catalog, data governance, modern data platform architecture, building reusable frameworks

Preferred skills

AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, Databricks certifications

Technologies

Databricks, Unity Catalog, AWS, Apache Spark, Python, SQL, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader

Responsibilities

Develop and improve data ingestion and data product frameworks; Design and implement scalable data governance and access control using Unity Catalog; Act as the go-to Databricks expert supporting and coaching development teams; Evaluate and introduce new Databricks capabilities to improve the platform; Contribute to a scalable, secure, and user-friendly platform for data, analytics, and AI.

Seniority

Senior, hands-on IC with technical enablement

Rewrite
## Senior Data Engineer / Databricks Champion 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. ## Responsibilities - 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. ## Requirements - 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. ## Nice to Have - Experience with AWS, CI/CD, Databricks Asset Bundles, Lakeflow, Auto Loader, and Databricks certifications. ## Benefits - 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 [email protected].
Sourced via jobtech · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on JobTech ↗