Senior Data Engineer: ETL, Databricks & AI-Driven Analytics

InPost

Województwo małopolskie

On-site

PLN 180,000 - 260,000

Full time

14 days+

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Job summary

InPost is hiring a Senior Data Developer to join the Global Network Analytics team in Poland. You will transform data into a trusted foundation for decision-making, reporting and automation, blending engineering with business context.

You will design and maintain ETL/ELT pipelines, build data models in Databricks and Data Lake, and ensure data quality across sources. Collaboration with product and analytics teams is key, with emphasis on AI-assisted workflows and strong documentation.

Qualifications

2+ years in Data Engineering or Analytics Engineering
Experience designing ETL/ELT processes and building data models for analytics
Experience with cloud solutions, especially Microsoft Azure
Strong knowledge of SQL, Python, PySpark and Databricks

Responsibilities

Design, build and maintain ETL/ELT processes using SQL, PySpark and Python.
Develop data layers in Databricks, Data Lake and Delta Lake for analytics and automation.
Automate and orchestrate data loading to reduce manual work and errors.
Ensure data quality with validation rules, monitoring and incident diagnosis.
Optimize SQL queries, Spark processes and data storage for performance and cost.
Provide reliable data to analysts and product owners as a data foundation.
Create/maintain technical docs in Confluence on data processes and lineage.
Use AI tools cautiously, validate generated code and configs before implementation.