Data Engineer (m/f/d)
In short
Data Engineer (m/f/d) in Düsseldorf at The Stepstone Group. Responsibilities include building/optimizing data pipelines, enhancing data quality, and collaborating with stakeholders. Requires 3+ years experience, Python, SQL, cloud services (AWS Glue/Lambda, Spark), and data modeling.
AI-written summary based on the listing content.
Who we are
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 3,000+ employees and be part of reshaping the labour market and becoming the world’s leading job platform.
The job at a glance
Join our team and you’ll be responsible for building, maintaining, and optimizing data workflows to drive insights and decision-making in marketing and business operations.
Working in the Marketing Data Engineering department, you will develop scalable data pipelines, enhance data quality, and collaborate with stakeholders to deliver high-impact data solutions.
Your responsibilities:
- Design, build, and continuously optimize ETL/ELT workflows that power our data landscape — from ingestion to delivery — with reliability and scale in mind.
- Partner with cross-functional stakeholders to shape datasets that drive informed decisions, leading data modeling, migration planning, and optimization from conception to production.
- Proactively monitor, validate, and improve data integrity across our pipelines using modern tooling, so our teams always trust what they're working with.
- Own the technical documentation, data specifications, and metadata that keep our datasets accessible and understandable — enabling self-service across the organisation.
- Build and maintain robust integrations with marketing platforms — including LinkedIn, Google Ads, and Meta — bringing external signals into our pipelines and making them actionable for the business.
Your skills and qualifications
- 3+ years of experience in Data Engineering or a similar role.
- Solid computer science fundamentals — including data structures, algorithms, distributed systems, and networking — with the ability to apply first-principles thinking to complex engineering problems.
- Strong Python skills for writing clean, efficient, and maintainable data pipelines.
- Deep understanding of database internals, query optimization, and storage engines — with advanced SQL skills across OLAP and OLTP patterns and familiarity with NoSQL data models.
- Hands-on experience with cloud services and distributed platforms such as AWS Glue, AWS Lambda, Spark, or equivalent.
- Strong grasp of data modeling and modern architectures including Data Lakes and Data Warehouses.
- Practical experience with orchestration tools like Airflow or Dagster, alongside Terraform for infrastructure-as-code, CI/CD pipelines, and Git.
Your Benefits
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:
- 30 days of holidays + 1 Cultural Heritage Day + 2 extra days for Christmas and New Year's Eve
- Hybrid working model
- Company pension scheme
- 24/7 Employee Assistance Programme
- Life Assurance Cover
- Volunteering days
- Job bike
- Discounted parking or job ticket
- In-house gym
- In-house barista
- And you can bring your dog to the office
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.
Contact
StepStone GmbH | Völklinger Straße 1 | 40219 Düsseldorf
Apply now via the green Button and ensure further information about the next process steps within 5 days!
Please, find our data privacy statement [here](https://www.stepstone.de/ueber-stepstone/privacy-policy-applicants/#English
Version).
| Published | 2026-07-28 |
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