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