Senior Data Engineer

Responsibilities:

• Design, develop, and maintain scalable data pipelines (ETL/ELT)
• Build and enhance data warehouses and data lake / lakehouse solutions
• Create and deploy data models supporting business and analytical needs
• Write efficient and scalable code (Python / PySpark, optionally Scala or Java)
• End to end ownership of pipelines feeding the Data Platform
• Ensure high data quality, availability, and timeliness
• Collaborate with the Data Governance team (GDPR, CISO, data quality built into pipelines)
• Optimize existing solutions in terms of performance, cost, and stability
• Work closely with product, analytics, and business teams
• Define technical and architectural standards
• Prototype and implement new approaches and technologies
• Collaborate with the Data Product Manager to align data sources and requirements
• Create and deliver the data roadmap for key datasets
• Clearly communicate technical solutions to both technical and non technical stakeholders
• Mentor and support less experienced data engineers
• Represent the Data & Analytics team in cross functional initiatives
• Promote the value of modern data solutions across the organization

Requirements:

• Strong experience as a Data Engineer (Senior / Full Stack)
• Proficiency in Python, PySpark, SQL, and Bash/Shell scripting
• Experience with Snowflake, dbt, Kafka or Kinesis, Airflow, and AWS Glue
• Experience working with data platforms such as Data Lake, Data Warehouse, or Lakehouse
• Knowledge of NoSQL databases (e.g., MongoDB)
• Hands-on experience with AWS and building cloud-based data platforms
• Experience with Terraform (Infrastructure as Code)
• Proficiency with Git/GitHub and CI/CD tools (e.g., GitHub Actions)
• Strong understanding of modern data architectures (Data Lake, Data Warehouse, Lakehouse, Data Mesh)
• Experience with data modelling, data governance, and cost optimization of data pipelines
• Experience working in Agile environments (Scrum, Kanban)
• Strong communication skills and ability to work with global stakeholders
• English proficiency at B2+ level or higher

Nice to have:

• Experience in cloud data platform transformations
• Experience working with large-scale data environments

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program