Senior Data Engineer
Avenga · Capital City of Prague, Prague, Czechia
IT Services and IT Consulting · 5,001-10,000 employees
About the role
You will define Databricks architecture and engineering patterns while providing guidance on workload structure and technical standards. Additionally, you will support data governance, metadata management, and the implementation of CI/CD and orchestration best practices.
What they look for
Requirements
The role requires strong hands-on experience with Databricks in real delivery environments and practical knowledge of Airflow orchestration. Candidates must also possess robust CI/CD skills and experience with data quality frameworks and modern data platform operations.
Benefits
Full description
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
Avenga is looking for a skilled Senior Data Engineer to join our team on a long-term engagement. As a Senior Data Engineer, you will bring strong hands-on Databricks expertise to help design robust architecture and engineering patterns, support data governance, and provide practical guidance across orchestration, DevOps, and data quality. You will work closely with cross-functional teams to structure workloads, define standards, and ensure our data solutions are reliable, scalable, and aligned with best practices.
This is you
- Strong hands-on Databricks experience in real delivery environments
- Practical experience with Airflow orchestration in combination with Databricks
- Strong CI/CD experience for Databricks, including Git-based development, testing, deployment automation, operations
- Experience with data quality / monitoring / DQ frameworks, ideally in Databricks or similar modern data platforms.
- Ability to provide practical recommendations, alternatives, and consequences of choices
- Ability to work in a supporting, collaborative mode
This is your role
- Define Databricks architecture and engineering patterns, providing practical guidance on how to structure workloads, delivery patterns, standards, and reusable technical approaches in Databricks.
- Support governance and the data management lifecycle, including metadata management, tagging, dictionaries, catalogs, and Unity Catalog setup and native options.
- Help evaluate data quality / DQMS approaches, including native Databricks monitoring/profiling capabilities, process implications, and possible hybrid approaches.
- Provide advice on orchestration options and trade-offs, including how Airflow can be used with Databricks jobs, along with best practices and standards.
- Support the definition of practical DevOps approaches in terms of CI/CD, metadata/template-driven approach, monitoring and operations, and connection to dictionaries and catalogs (including tools).
- Help define basic standards and conventions, such as naming conventions, repository structure, deployment principles, and selected governance guardrails.
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.
