Senior Data Engineer

We are looking for a Senior Data Engineer with a Platform focus to take a leading role in the architecture and evolution of our internal Data Platform. You'll operate as a domain expert — designing scalable open-source platform infrastructure, defining standards adopted across the team, and mentoring engineers around you.

This is a senior individual contributor role with real technical influence: you'll produce Architecture Decision Records, drive reliability initiatives, and shape the platform roadmap. At the same time, you'll stay close to the data engineering craft — contributing to data pipeline design, governance standards, data quality practices, and the broader data infrastructure that analysts and scientists depend on every day.

This is a fully in-office role based in Kraków

Responsibilities

Platform Architecture & Infrastructure

• Design scalable, resilient platform architectures using open-source technologies
• Define IaC, Kubernetes, and Docker standards adopted across the platform team
• Architect and deliver platform microservices with well-defined interfaces
• Lead evaluation and adoption of open-source query engines and table formats
• Define strategies for compute and storage
• Design observability frameworks: metrics, tracing, and logging standards

Data Engineering & Governance

• Contribute to the design and implementation of data lakes, data warehouses, and ETL/ELT pipelines
• Develop and maintain standards for data modelling
• Implement standards for optimizing data pipelines to ensure seamless data flow and processing
• Define and uphold data quality and governance standards
• Create standards for integrating and processing data from multiple sources, ensuring consistency and accuracy
• Collaborate with the Data Team and with cross‑functional teams; work effectively within a diverse, international team spread across Switzerland, Poland, Serbia, and China

Leadership & Mentorship

• Mentor junior and intermediate platform engineers, contributing to their technical growth
• Conduct code and architecture reviews
• Influence the platform roadmap with technically grounded proposals
• Resolve technical conflicts constructively and facilitate cross‑team collaboration

Requirements

• A university degree, at least Masters in Computer Science or a related science, technology or engineering field
• 5+ years of relevant experience in data engineering or data platform engineering roles
• Deep Kubernetes knowledge: cluster operations, networking, storage, security
• Expert‑level Docker: security hardening, image optimization
• Deep expertise in open‑source query engine internals — query planning, cost‑based optimization, connector development
• Expert knowledge of open file formats — internals, trade‑offs, and operational characteristics
• Advanced microservice design: API contracts, service mesh, circuit breaking
• Expert knowledge of observability: distributed tracing, metrics pipelines, SLO frameworks
• Expert‑level in Python and SQL
• Proficiency in RDBMS
• Experience with data orchestration tools
• Expertise in data partitioning, incremental scalability, data quality, and governance
• Strong teamwork and communication skills
• Ability to work independently and manage your time effectively
• Comfortable working in a diverse, international environment

Good to Have

• Experience in academia
• PhD in a relevant field
• Experience in C++ / Rust
• Advanced CI/CD
• Advanced IaC expertise
• Understanding of document and graph databases

Why Join Us?

• Be part of a dynamic and innovative team at the forefront of data technology
• Opportunity to shape a team, driving impactful projects
• Work in a collaborative environment that values creativity and diversity
• Competitive salary
• Private medical care (fully covered)
• MultiSport card (partially covered)
• Team building activities

If you are interested, please submit your CV in English.