Senior Data Engineer - Databricks Platform (Azure)

About the Position

Senior Data Engineer - Databricks Platform (Azure)

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 UI design, managed services, product development, and software development.

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.

Responsibilities

• 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

Requirements

• 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

• 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

We Offer

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.

About the Company

Avenga is a global company with over 6000 specialists providing a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and UI design, managed services, product development, and software development.

Application Process

1. Application: Send us your application, we are ready to hear your story and explore how we can grow together.
2. Review: Our team carefully reviews every application with curiosity and care.
3. Talent Acquisition Interview: You will meet our Talent team to talk about your goals and learn more about who we are, what we offer, and how we support our people.
4. Technical Interview: Our tech interview is all about diving deeper into your expertise and understanding your strengths, how you solve problems, and how you think – no trick questions, just a meaningful conversation.
5. Customer Interview: For some roles, especially when our clients are closely involved, you might also have a conversation with them – it’s a chance for everyone to align and get to know each other better.
6. Job Offer: If we both feel it’s the right match, we will send you an offer to join us. And even if it’s not the time just yet, you’ll always hear back from us.
7. Welcome!: Your new team is excited to meet you, support you, and build something great together. Let’s make your first day the start of a journey that shapes a career that matters.

Locations

• City: Stockholm
• Country: Sweden
• Remote Status: Hybrid

Technology

• Data Engineering

Seniority

• Senior-level