Senior Data Engineer — ETL/Databricks & AI Analytics

InPost

Kraków

On-site

PLN 180,000 - 240,000

Full time

6 days ago

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Job summary

InPost's Global Network Analytics team is seeking a Data Developer who thrives on turning data into trusted foundations for decision-making. You will design and maintain ETL/ELT pipelines, build data layers in Databricks and Delta Lake, and automate data loading with a focus on quality and scalability.

You will work closely with Analysts, Product Owners and engineers, documenting processes in Confluence and using AI tooling responsibly.

Qualifications

2+ years in Data Engineering, Analytics Engineering or data analysis.
Experience in designing ETL/ELT processes and building data models for analytical purposes.
Experience with cloud solutions, especially Microsoft Azure.
Strong practical skills in 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.
Automate data loading and transformation to reduce manual work and errors.
Ensure data quality, consistency and reliability via validation rules and monitoring.
Optimize SQL queries, Spark processes and storage for performance and cost.
Provide ready-to-use data to analysts and stakeholders for analysis and automation.
Create and maintain technical documentation in Confluence covering data processes and lineage.
Use AI tools consciously while verifying generated code and configurations.