Senior Data Engineer

Senior Data Engineer | Frankfurt am Main (Hybrid) | Competitive | Permanent AI Futures has been engaged to find a Senior Data Engineer for a major German media and advertising organisation - a company with one of the largest premium digital and out-of-home advertising networks in the country, and a data platform that is central to how it operates at scale. The company A scaled German media group with over 750 employees, operating across digital and out-of-home advertising at national scale. Their data platform underpins audience intelligence, programmatic delivery, and commercial analytics across a premium inventory network - and they are investing heavily in its next phase, including the integration of AI-driven capabilities built on top of it. The role You will help build and operate the cloud data platform that the business depends on - designing pipelines, enforcing data quality, and making the infrastructure robust enough that data scientists and analytics engineers can build on it with confidence. You will work alongside a Lead Data Platform and cross-functional teams, contributing to architecture decisions and shaping how the platform evolves. What you’ll do • Build and operate scalable data platforms using Databricks, Apache Spark, and Azure Data Services • Design and optimise ETL/ELT pipelines, data models, and integrations across domains • Implement data quality checks, monitoring, and automated testing frameworks • Shape CI/CD and deployment processes using Git, infrastructure as code, and automated build and release pipelines • Support architecture decisions and platform development alongside the Lead Data Platform • Collaborate with data scientists, analytics engineers, and business units to translate technical capability into scalable data and AI solutions What you’ll bring • Several years of experience building and operating modern cloud data platforms in production • Strong Python and SQL, plus hands-on ETL/ELT, data modelling, and data integration experience • Solid CI/CD practice: Git, infrastructure as code, automated build/test/deploy pipelines • Knowledge of data quality methods, pipeline monitoring, and technical root cause analysis • Ability to develop and own architectural solutions independently • Clear communication across technical and non-technical stakeholders Desirable • Databricks, Apache Spark, or Azure Data Services in a production environment • Experience in media, advertising technology, or data-intensive B2B platforms • Exposure to AI or ML platform integration — working alongside data scientists on shared infrastructure Package & Details €85-105k 30 days holiday + sabbatical option Hybrid - Frankfurt am Main AI Futures have been engaged exclusively for this search. If this sounds like an exciting challenge to you please apply below. AI Futures | Filling the AI Skills Gap ®