Senior Data Engineer (m/f/d)

Axel Springer SE; Berlin; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading media company in Berlin is seeking a Senior Data Engineer to design and build impactful data solutions. You will modernize the data platform while building scalable data pipelines and mentoring junior teammates. The ideal candidate has extensive experience with distributed systems, especially Apache Spark, and is proficient in Python, Scala, or Java. This position offers flexible working hours, free meals, and 30 days of vacation.

Leistungen

Flexible working hours

Free meals

30 days vacation

Learning and training opportunities

Qualifikationen

• Deep experience with distributed systems, particularly Apache Spark in production settings.
• Ability to write clean code in Python, Scala, or Java.
• Understanding of CI/CD and DevOps workflows for data engineering.

Aufgaben

• Partner with teams to design and build impactful data solutions.
• Modernize the data platform and shape its architecture.
• Build and run scalable, high-performance data pipelines.

Kenntnisse

Distributed systems experience

Apache Spark

Python

Scala

Java

CI/CD

DevOps workflows

Data lifecycle and quality assurance

Machine Learning fundamentals

Data platforms (Palantir, Databricks, Snowflake, Microsoft Fabric)

Jobbeschreibung

Company Description

We’re looking for collaborative and creative individuals who are excited to help shape the future of journalism in the digital age.

The Data Platform is the backbone of our data ecosystem — enabling innovation, ensuring compliance, and creating value at scale. We empower teams and brands to build, share, and monetize data products on a secure, governed, and cost-efficient platform — with privacy built in from day one. Sounds interesting? Then join us as a senior data engineer at Axel Springer National Media & Tech.

Job Description

• you partner with engineering, analytics, and product teams to design and build impactful data solutions
• you modernize our data platform—shaping architecture, challenging the status quo, and balancing innovation with efficiency
• you build and run scalable, high-performance data pipelines for both batch and streaming applications
• you model and optimize terabyte-size datasets to drive insights and enable ML/AI applications
• you mentor junior teammates and foster a culture of technical excellence and collaboration
• you champion best practices in engineering, testing, privacy, and governance

Qualifications

• you possess deep experience with distributed systems, particularly Apache Spark in production settings
• you write clean code in Python, Scala, or Java, and follow solid engineering principles
• you embrace CI/CD and DevOps workflows for fast, reliable data engineering
• you think analytically and care deeply about data lifecycle and quality assurance
• you understand ML fundamentals and work effectively with data scientists
• you’ve architected and evolved modern data platforms.
• you know your way around platforms like Palantir Foundry, Databricks, Snowflake, or Microsoft Fabric.
• you lead initiatives across teams (without needing formal authority)

Additional Information

• your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills
• flexible working hours support a healthy work-life balance
• our free food offer: in addition to a breakfast snack, we also offer a free lunch in our canteens
• 30 days vacation plus 10 days working from abroad
• free choice of top-notch office equipment (also for your remote work space and private usage), up-to-date hardware, software and modern office spaces that provide you with maximum flexibility
• collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
• from now a permanent full- or part-time position in a modern office in the heart of Berlin:http://www.axelspringer-neubau.de/

Getting curious? Check out what we are doing onGitHubor check out ourTechblog.

The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq

Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde