Senior Data Engineer

Was du bei uns bewegst:

• own data products end-to-end, from building pipelines to responding to incidents and improving reliability
• hands-on engineering: building, testing, and reasoning about the data transforms and services that run the business
• build data-quality checks, lineage, and freshness directly into the work so data consumers can rely on it
• design schemas that handle late and messy data and reflect how the business actually asks questions
• collaborate with analysts, data scientists, and product managers to define data models contracts, and interfaces that deliver reliable, high-quality data
• mentor mid-level and junior data engineers through code review, design feedback, and shared standards
• tune transforms and pipelines for reliability and efficiency, and reduce operational toil over time

Was du mitbringst:

• a degree in computer science, engineering, or a related field; equivalent expertise proven through experience and impact is equally valued
• senior-level experience delivering and operating data products or backend systems end-to-end in a cloud environment such as AWS, GCP, or Azure
• deep, tool-independent grounding in data modeling, schema evolution, incremental and idempotent processing, late and dirty data handling, and the ability to explain why a pipeline is shaped the way it is, not just that it runs
• strong Python skills with the discipline to write clean, well-tested, maintainable code - bring solid software-engineering practice to data work and pick up Go or other tools as needed
• proven data-trust instincts, having applied quality checks, lineage, and freshness to keep real data products reliable for actual consumers
• sound judgment on tools and trade-offs, with the ability to defend your choices, the options you ruled out, and what you would do differently
• effective communication with non-engineers, a genuine ownership mindset, and experience mentoring data engineers across different seniority levels

• a degree in computer science, engineering, or a related field; equivalent expertise proven through experience and impact is equally valued
• senior-level experience delivering and operating data products or backend systems end-to-end in a cloud environment such as AWS, GCP, or Azure
• deep, tool-independent grounding in data modeling, schema evolution, incremental and idempotent processing, late and dirty data handling, and the ability to explain why a pipeline is shaped the way it is, not just that it runs
• strong Python skills with the discipline to write clean, well-tested, maintainable code - bring solid software-engineering practice to data work and pick up Go or other tools as needed
• proven data-trust instincts, having applied quality checks, lineage, and freshness to keep real data products reliable for actual consumers
• sound judgment on tools and trade-offs, with the ability to defend your choices, the options you ruled out, and what you would do differently
• effective communication with non-engineers, a genuine ownership mindset, and experience mentoring data engineers across different seniority levels

The Axel Springer SE is a family-owned, transatlantic media company with locations in Berlin and New York. Our goal is to shape the future of journalism in the free world because we believe a free and informed society is essential to a functioning democracy.

We are evolving journalism into what we call Next Level Publishing – a business that is constantly shaped through innovation and acceleration. To disrupt the traditional publishing business, we are using smart technology and building excellent products which will boost our digital media brands. 

Join us as we elevate our media offerings and raise the bar!