Senior Data Engineer | Revenue BioTech | Greenfield Build | AI + Pricing Infrastructure

Senior Data Engineer | €50M Revenue Life Sciences Company | Azure, Fabric & Power BI | Cologne (Hybrid)

AI Futures has been exclusively retained by a fast‑growing, profitable life sciences company operating in a highly regulated healthcare market to hire a Data Engineer.

The business operates at a ~€50M annual revenue run rate, serves a nationwide customer base, and is investing heavily in business intelligence, data infrastructure, and analytics to support its next phase of growth. Data plays a central role in decision‑making across finance, operations, supply chain, and commercial teams.

This is a hands‑on senior BI & data engineering role with real ownership. You will help design, build, and operate a modern Azure‑based BI platform end‑to‑end from ingestion to semantic layer to business reporting.

You will be required to be on‑site in Cologne 3–4 days per week.

Salary: up to €95k fixed, depending on experience.

As a BI Data Azure Engineer, you will turn data into trusted insights by building reliable, scalable, and well‑modeled BI solutions.

• Design, develop, and operate BI solutions on Azure, including Azure Data Factory, Azure Data Lake, Azure SQL, and Microsoft Fabric
• Build and maintain end‑to‑end ETL/ELT pipelines, integrating data from files, APIs, and operational systems
• Design and implement data warehouses, data marts, and semantic layers using dimensional modeling best practices
• Build and maintain tabular models for Power BI / Analysis Services, enabling consistent metrics and self‑service reporting
• Develop and optimise SQL queries, views, and stored procedures for performant analytics
• Ensure data quality, validation, monitoring, and error handling across all stages of the data lifecycle
• Work closely with analysts and business stakeholders to translate reporting requirements into robust technical solutions
• Own monitoring, troubleshooting, and performance tuning of BI and ETL processes
• Contribute to architectural decisions within the Azure data & analytics landscape
• Document data models, pipelines, and processes clearly and maintain ably

You are a senior, hands‑on BI‑focused data engineer with strong Azure experience.

• 3+ years of experience in BI, analytics engineering, or data engineering roles
• Strong hands‑on experience with Azure Data Services (ADF, Data Lake, Azure SQL, Microsoft Fabric, Synapse)
• Excellent SQL skills (T‑SQL required; DAX strongly preferred), including performance optimisation
• Proven experience building Power BI / Analysis Services tabular models and semantic layers
• Strong understanding of data warehouse architectures, dimensional modelling (star/snowflake), and BI best practices
• Experience building and orchestrating complex ETL/ELT pipelines, including API‑based integrations
• Familiarity with Git and Dev Ops workflows for data engineering
• A strong focus on data quality, consistency, and reliability
• Fluent German and good English skills

• High‑impact BI ownership in a regulated life sciences environment
• Modern Azure‑first stack with Microsoft Fabric and Power BI
• Real business influence across critical operational and commercial functions
• Hybrid working model (3–4 days on‑site in Cologne)
• Competitive salary up to €95k

Mid‑Senior level

Full‑time

Staffing and Recruiting