Data Integration & ETL Project Lead

Franke Group; Gdynia; On-site; PLN 170,000 - 250,000; Full time

Job summary

Franke Group is seeking a Project Manager – Data Integration / ETL to lead end-to-end data integration projects from planning through go-live. You will coordinate between Product Data Management, Sales, Finance and IT teams and ensure data quality and thorough documentation.

The role requires expertise in ETL/ELT, Python, SQL and data governance, with international travel up to 10%. The position is based in Poland, offering collaboration across global data ecosystems.

Qualifications

• Bachelor’s degree in IT or Computer Science.
• Experience in data integration, ETL/ELT and data engineering.
• Hands-on Python, SQL, APIs, JSON/XML and data formats.
• Strong data governance, quality and documentation.
• Excellent communication and stakeholder collaboration.
• Willingness to travel internationally up to 10%.

Responsibilities

• Own end-to-end delivery of data integration/ETL projects from planning to go-live.
• Lead data pipelines creation for product data from JSON, APIs, Excel/CSV, XML, PDF.
• Develop Python automation for extraction, cleansing, transformation and loading.
• Parse unstructured data using OCR or LLM-based extraction when relevant.
• Stage raw data and prepare for transformation into a standardized model.
• Validate transformed data with SQL checks and reconciliation.
• Document mappings, rules, data flows and procedures.

Skills

Python

SQL

ETL/ELT

Agile

Data governance

Education

Bachelor’s degree in IT/CS

Tools

JSON/XML

Excel/CSV

APIs

OCR/LLM extraction

Job description

Franke Group is seeking a Project Manager – Data Integration / ETL to lead end-to-end data integration projects from planning through go-live. You will coordinate between Product Data Management, Sales, Finance and IT teams and ensure data quality and thorough documentation.

The role requires expertise in ETL/ELT, Python, SQL and data governance, with international travel up to 10%. The position is based in Poland, offering collaboration across global data ecosystems.