Senior BI/Data Engineer

Testendouble; Deutschland; On-site; EUR 90,000 - 120,000; Full time

Job summary

ACT is seeking a Senior BI/Data Engineer to modernize and scale our enterprise Data Platform. You will combine hands-on engineering with technical ownership to design reliable data solutions across integration, modelling, analytics engineering and platform architecture.

You will shape the platform roadmap, implement architectures with Microsoft Fabric and Databricks, and enable scalable Power BI reporting and AI use cases. This role emphasizes ownership, collaboration, and continuous learning.

Qualifications

• Degree in Computer Science, Information Technology, or related field, or equivalent experience.
• 5+ years of data engineering experience with Azure or major cloud platforms.
• Hands-on experience with modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, Snowflake).
• Strong SQL and Python for data engineering, automation, or testing.
• Solid understanding of data architectures including warehouses, lakes, and lakehouse patterns.
• Strong data-modelling skills (relational and dimensional).
• Experience with Power BI, semantic models, or similar analytics tools.
• Experience with Git, automated testing and CI/CD for data solutions.
• Knowledge of streaming, event-driven, or real-time analytics is a plus.

Responsibilities

• Own and continuously improve core components of ACT's Data Platform architecture and engineering standards.
• Design and implement data source integrations and build reliable data pipelines.
• Develop enterprise data models including relational and dimensional models.
• Build and optimize data pipelines with Azure Data Factory, Fabric, Functions, and Logic Apps.
• Plan data migrations with validation, reconciliation, and data-quality controls.
• Contribute to platform modernization using Microsoft Fabric, Databricks, and related tech.
• Develop semantic models to enable scalable Power BI reporting and AI use cases.
• Translate business requirements into scalable technical solutions and document design choices.

Skills

Azure

Databricks

Power BI

SQL

Python

Data modeling

Data warehouses

CI/CD

Security

Cost optimization

Education

Bachelor's degree in CS/IT or Data Engineering

Related professional experience

Tools

Azure Data Factory

Microsoft Fabric

Azure Synapse Analytics

Databricks

Snowflake

Git

CI/CD pipelines

Logic Apps

Job description

Your Role in Our Story:

As a Senior BI/Data Engineer at ACT, you will play a key role in modernizing and scaling our enterprise Data Platform. Combining hands-on engineering with technical ownership, you will design reliable, scalable data solutions across data integration, modelling, analytics engineering and platform architecture.

Beyond delivery, you will help shape our platform roadmap and engineering standards, with a focus on architecture, automation, performance, security and cost efficiency. Microsoft Fabric is an important part of our modernization journey, alongside technologies such as Databricks where they add value. You will also have the opportunity to explore practical applications of Generative AI across development, documentation and platform operations.

We value ownership, collaboration, knowledge sharing and continuous improvement. In essence, your role involves:

• Own and continuously improve key components of ACT's Data Platform architecture and engineering standards.
• Design and implement integrations for new source systems and build reliable, maintainable data pipelines.
• Design, implement and document enterprise data models, including relational and dimensional models.
• Develop, optimize and operate data pipelines and orchestration using technologies such as Azure Data Factory, Microsoft Fabric, Azure Functions and Logic Apps.
• Plan and execute data migrations with appropriate validation, reconciliation, data-quality controls and operational monitoring.
• Contribute to the modernization of the Data Platform using Microsoft Fabric and, where appropriate, Databricks and other modern data technologies.
• Develop and maintain trusted semantic models that enable scalable Power BI reporting, analytics and emerging AI use cases.
• Translate business requirements into sustainable technical solutions and communicate design choices clearly to technical and non-technical stakeholders.
• Demonstrate data and analytics solutions to business stakeholders and support adoption through clear documentation and knowledge sharing.

Your Expertise:

To be successful in this role, we are looking for candidates with the following qualifications and attributes:

• A degree in Computer Science, Information Technology, Business Information Technology, Data Engineering or a comparable field, or equivalent professional experience.
• 5+ years of relevant experience in data engineering, including substantial hands‑on experience with Microsoft Azure or another major cloud platform.
• Hands‑on experience with modern data platforms such as Microsoft Fabric, Azure Synapse Analytics, Databricks or Snowflake.
• Strong SQL skills and practical experience with Python for data engineering, automation or testing.
• Strong understanding of modern data architectures, including data warehouses, data lakes and Lakehouse patterns.
• Strong data‑modelling skills, particularly relational and dimensional modelling; familiarity with additional modelling approaches is beneficial.
• Ability to design, troubleshoot and optimize data transformations, SQL workloads and data pipelines for performance, reliability and maintainability.
• Experience with Power BI, semantic models or comparable analytics and visualization technologies is an advantage.
• Experience with Git, automated testing and CI/CD practices for data and analytics solutions.
• Experience with relevant Azure services such as Azure Data Factory, Azure Functions, Logic Apps, Synapse Analytics or Azure Automation is an advantage.
• Knowledge of streaming, event‑driven architectures or real‑time analytics is an advantage.
• A collaborative and proactive mindset, strong communication skills, and the ability to take ownership while continuously learning and sharing knowledge.