Senior Data Developer (Databricks)

Location: Warsaw, Poland; onsite role

Company

InPost operates a technology-driven out-of-home e-commerce and parcel delivery platform across European markets.

What you will do

• Design, build, and maintain ETL/ELT processes using SQL, PySpark, and Python.
• Develop data layers, tables, views, and data models in Databricks, Data Lake, and Delta Lake.
• Automate and orchestrate data loading and transformation processes.
• Maintain data quality through validation rules, monitoring, alerting, and incident diagnosis.
• Optimize SQL queries, Spark processes, and storage structures for performance, stability, scalability, and cost.
• Document data processes, KPI logic, dependencies, lineage, and incident-handling procedures in Confluence.

Requirements

• At least 2 years of experience in Data Engineering, Analytics Engineering, or data analysis.
• Experience designing ETL/ELT processes, building data models, and maintaining production data processes.
• Practical knowledge of SQL, Python, PySpark, Databricks, Microsoft Azure, Data Lake, and Delta Lake architecture.
• Experience with Git and Azure DevOps across Dev, Test, and Prod environments.
• Ability to translate business requirements into technical solutions and ensure data quality.
• Advanced English required for communication in an international environment.

Nice to have

• Experience in complex operational environments and with dimensional modelling.
• Advanced Databricks and Delta Lake knowledge.
• Experience with Kafka, Structured Streaming, or Event Hubs.
• Knowledge of monitoring, alerting, data security, access control, metadata management, and data lineage.
• Jira and Confluence experience or relevant Microsoft Fabric and Databricks certifications.

Culture & Benefits

• Direct ownership of data products influencing strategic decisions.
• International, diverse, and cross-functional collaboration.
• Opportunity to experiment with AI tooling and bring innovations into production.
• B2B cooperation model.