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A leading technology company in Düsseldorf is seeking a Data Engineering team lead to manage and grow a high-performing team of engineers. This role requires hands-on technical skills in Python and SQL, as well as strong leadership abilities. You will design and maintain data pipelines supporting various marketing strategies, ensuring quality and reliability. The company offers a hybrid working model and numerous benefits, including generous vacation days and a commitment to work-life balance.
At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for jobseekers and companies around the world to find a perfect match in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring.
Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.
We are looking for a Data Engineering team lead (m/f/d) to lead a team of engineers responsible for building and maintaining the data foundations that power our marketing, commercial, and analytics domains. This role combines people leadership with hands‑on technical depth in Python, SQL, and modern data engineering practices.
You will ensure the team delivers high‑quality, scalable data pipelines and models, works effectively with cross‑functional partners, and operates with strong ownership and engineering excellence.
Your responsibilities:
We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer:
Our commitment
Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.