Erhalte eine Antwort von diesem Arbeitgeber — ein Lebenslauf und ein Anschreiben, die genau auf die Eigenschaften eingehen, die gesucht werden.
StepStone Group in Germany is looking for a skilled Data Engineer to design, build, and optimize data workflows that drive insights and decision-making. You will work within the Marketing Data Engineering department to develop scalable pipelines and ensure data integrity.
The ideal candidate has at least 3 years of experience, strong Python and SQL skills, and a solid understanding of cloud services. Enjoy a hybrid working model and a variety of benefits including generous holidays and a supportive community.
At The Stepstone Group, we have a simple yetvery importantmission: 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 andequitableway. 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.
Join our team andyou’llbe responsible forbuilding,maintaining, andoptimizingdata 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 continuouslyoptimizeETL/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 datamodeling, migration planning, and optimization from conception to production.
Proactivelymonitor, validate, and improve data integrity across our pipelines using modern tooling, so our teams always trust whatthey'reworking with.
Own the technical documentation, data specifications, and metadata that keep our datasets accessible and understandable — enabling self-service across theorganisation.
Build andmaintainrobust integrations with marketing platforms — including LinkedIn, Google Ads, and Meta — bringing external signals into our pipelines and making them actionable for the business.
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 datamodelingand modern architectures including Data Lakes and Data Warehouses.
Practical experience with orchestration tools like Airflow orDagster, alongside Terraform for infrastructure-as-code, CI/CD pipelines, and Git.
We’rea community here that cares as much about your life outside work as how you feel whenyou’rewith us. Because your jobshouldn’ttake over your life, it should enrich it. Here are some of the benefits we offer:
30 days ofholidays+1 Cultural HeritageDay+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.