This is us
At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a
full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services,
product development, and software development.
This is the job
For our client in the banking sector, we are looking for a Senior Data Engineer to help build and evolve a modern cloud-based data
platform powered by Databricks and Microsoft Azure.
The client is undergoing a major transformation from a traditional on-premise SQL-based data warehouse to a scalable, cloud-native
data ecosystem where Databricks serves as the core platform for data processing, analytics, and future AI initiatives.
This role is ideal for engineers who have extensive hands-on experience working with Databricks in production environments and
enjoy building robust, scalable data platforms from the ground up.
This is a hybrid assignment based in Stockholm, with an expected onsite presence at the client’s premises 3–4 days per week and
1–2 days remote.
This is you
5+ years of experience in Data Engineering
3-5+ years of hands-on Databricks experience in production environments
Strong experience building and operating data pipelines in production environments
Advanced knowledge of Python and SQL
Experience with distributed data processing and large-scale datasets
Solid understanding of data engineering principles, including orchestration, performance optimization, and data quality
Experience with dbt and modern data modeling practices
Ability to independently drive technical initiatives and contribute to architectural decisions
Professional proficiency in English
Nice-to-have skills:
Experience with real-time data processing
Experience migrating legacy data warehouse environments to cloud platforms
Understanding of CI/CD, testing, monitoring, and platform governance within data ecosystems
Understanding of Swedish
This is your role
Design, develop, and maintain data pipelines on the Databricks platform
Build and optimize scalable data integration and transformation solutions
Work directly with Databricks notebooks, jobs, clusters, and workflows in production
Develop reliable and performant solutions for processing large volumes of data
Implement modern data modeling approaches using dbt
Ensure high standards for data quality, traceability, scalability, and performance
Contribute to the architecture and evolution of the organization's Azure-based data platform
Establish and improve engineering best practices related to Databricks, CI/CD, testing, monitoring, and platform operations
Collaborate closely with analysts, BI teams, and other stakeholders to deliver business-critical data solutions
Support the migration from legacy data warehouse solutions to a modern Databricks-centric architecture
What awaits you at Avenga?
At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of
race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to
fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our
growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to
be themselves while honoring the boundaries of others.