Data Engineer: ETL/Databricks & AI-Driven Analytics

InPost; Warszawa; On-site; PLN 180,000 - 280,000; Full time

Job summary

InPost in Poland is seeking a Data Expert for its Global Network Analytics team. You will turn data into trusted foundations for decision-making, reporting and automation, blending engineering with business context.

Join a role that combines ETL design, data modelling and data quality validation, using SQL, PySpark, Python and Databricks to deliver reliable data for analysts and product teams. You will create and maintain documentation and help scale data platforms across multiple markets in a

Qualifications

• At least 2 years of experience in Data Engineering, Analytics Engineering or data analysis.
• Experience in designing ETL/ELT processes and building data models or data layers for analytical purposes.
• 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.
• Advanced English skills enabling confident communication in an international environment.

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.
• Optimize 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 as a foundation for analysis, reporting and automation.
• 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.

Skills

SQL

Python

PySpark

Databricks

Azure

Tools

Git

Azure DevOps

Job description

InPost in Poland is seeking a Data Expert for its Global Network Analytics team. You will turn data into trusted foundations for decision-making, reporting and automation, blending engineering with business context.

Join a role that combines ETL design, data modelling and data quality validation, using SQL, PySpark, Python and Databricks to deliver reliable data for analysts and product teams. You will create and maintain documentation and help scale data platforms across multiple markets in a