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.

Role

Senior Data Engineer - Databricks Platform (Azure)

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