Senior Data Engineer

TLDR

Play a vital role in developing AWS-based data solutions while leading architectural design and cross-team collaboration to enhance data management efficiency.

Join our team where you can participate delivering data driven solutions based on Medallion data design pattern. 

Join our team and you’ll be responsible for building and maintaining a scalable self-service framework for data production and consumption, enabling multiple teams to efficiently manage data at scale while reducing complexity by eliminating legacy pipelines.

Working in the Data Platform / Data Engineering department you will design and develop modern data solutions in a fully AWS-based environment, leveraging the latest cloud services to deliver robust frameworks and platform solutions from Proof of Concept through to Production.

This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody.

Your responsibilities: 

  • Architectural leadership – lead the design and evolution of the Medallion Architecture framework, ensuring scalability, governance, and best practices.

  • Cross-team collaboration – partner with development teams and stakeholders to drive architecture decisions and maintain technical excellence.

  • CI/CD & deployment support – contribute to building and maintaining CI/CD processes for deployment, testing, and production troubleshooting.

  • Mentorship & code quality – mentor mid-level engineers and lead design/code reviews to promote best practices.

  • Data platform optimization – identify opportunities to improve data platforms and influence long-term data strategy.

  • Strong expertise in Python with a proven track record of delivering large-scale solutions, combined with hands-on experience in AWS cloud services and Big Data technologies (including Lambda, AWS Glue, Amazon ECS, and Lake Formation)

  • Proficiency in infrastructure as code (Terraform), CI/CD pipelines, and large-scale automation practices

  • Deep experience with modern data tools and standards such as Spark and Iceberg, with additional familiarity with the Kafka ecosystem as a plus

  • Proven ability to design, optimize, and govern scalable data architectures aligned with performance and reliability requirements

  • Experience mentoring engineers, conducting code reviews, leading design discussions, and influencing architectural decisions to align technical solutions with business goals

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:

  • Premium medical and dental care
  • Life insurance
  • Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets etc.)
  • Employee Referral Program
  • Hackathons, Knowledge Sharing Hours, In-house projects
  • Tech and sport communities
  • Events and integration parties
  • Charity initiatives, 2 extra volunteer days
  • English/German classes
  • Game room and chillout zone

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.

Benefits

Health Insurance

Premium medical and dental care

Game room and chillout

Game room and chillout zone

StepStone Group is a leading online job platform that connects job seekers with companies, helping them find their perfect match. With a diverse portfolio of over 20 brands across more than 30 countries, we leverage data and technology to drive fair and equitable hiring. Our mission is straightforward: to ensure the right job for everyone by reshaping the labor market.

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Salary
16 000 zł – 23 000 zł per month
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