Senior Data Developer

Stack

Responsibilities

• ▹Design, build and maintain ETL/ELT processes using SQL, PySpark and Python, including integration of data from different source systems
• ▹Develop data layers in Databricks, Data Lake and Delta Lake, including tables, views and data models used by analytical, reporting and automation solutions
• ▹Automate and orchestrate data loading and transformation processes to reduce manual work, improve repeatability and lower the risk of errors
• ▹Ensure data quality, consistency and reliability through validation rules, monitoring, alerting and incident diagnosis
• ▹Optimise SQL queries, Spark processes and data storage structures with a focus on performance, stability, scalability and processing costs
• ▹Provide reliable, ready-to-use data to analysts, Product Owners and other stakeholders
• ▹Create and maintain technical documentation in Confluence covering data processes, models, KPI logic, dependencies, data lineage and incident-handling procedures
• ▹Use AI tools consciously as a work accelerator, while fully verifying generated code, configurations and documentation before implementation

Requirements

• ▹At least 2 years of experience in Data Engineering, Analytics Engineering or data analysis, including designing ETL/ELT processes and building data models or data layers for analytical purposes
• ▹Experience maintaining production data processes, including monitoring, issue diagnosis and data quality assurance
• ▹Experience with cloud solutions, especially Microsoft Azure
• ▹Practical knowledge of SQL, Python, PySpark and Databricks
• ▹Understanding of Data Lake / Delta Lake architecture and data modelling principles
• ▹Practical experience with Git and Azure DevOps, including managing changes across Dev, Test and Prod environments
• ▹Ability to translate business requirements into technical solutions
• ▹Advanced English, enabling confident communication in an international environment
• ▹Analytical and logical thinking, attention to detail, proactivity and the ability to prioritise work under time pressure

Nice to have

• ▹Experience working in a complex operational environment
• ▹Knowledge of dimensional modelling, including star schema, fact and dimension tables, data grain, and normalisation or denormalisation approaches for reporting and analytics
• ▹Knowledge of advanced Databricks and Delta Lake mechanisms
• ▹Experience with streaming technologies such as Kafka, Structured Streaming or Event Hubs
• ▹Familiarity with monitoring and alerting tools
• ▹Knowledge of data security, access control, metadata management and data lineage principles
• ▹Experience with Jira and Confluence
• ▹Certifications such as Microsoft Certified: Fabric Analytics Engineer DP-600 or Databricks Data Engineer / Analyst Associate

Soft skills

What we offer

• ▹Real ownership: your data products will directly influence strategic decisions
• ▹Cooperation in a diverse, international, cross-functional environment alongside leading experts
• ▹Space to experiment with new technologies, including AI tooling, and bring innovations into production
• ▹B2B type of cooperation

About the company

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe's leading out-of-home e-commerce enablement platforms. Founded in 1999, it delivers through a network of over 64,000 automated parcel machines and more than 30,000 pick-up and drop-off points across nine European countries, alongside courier and fulfilment services. It delivered 1.4 billion parcels in 2025.