Remote Data Engineer - Pharma Data Pipelines (Poland)

Templeton & Partners - Innovative & Inclusive Hiring Solutions

Województwo mazowieckie

Hybrid

PLN 180,000 - 260,000

Full time

9 hours ago
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Job summary

Templeton & Partners - Innovative & Inclusive Hiring Solutions is seeking a Data Engineer to build reliable data pipelines and support regulated pharmaceutical data products. The role involves designing, building and maintaining batch and streaming ingestion and transformation pipelines.

You will integrate SAP, LIMS and MES data, develop SQL/Python transformations, and implement data quality, governance and monitoring.

Qualifications

  • Proven data engineering experience in pharma/biotech.
  • Advanced SQL and Python skills.
  • Hands-on Snowflake and ETL/ELT development.
  • Experience with Airflow, dbt or Talend.
  • Familiarity with AWS S3, Git and CI/CD.
  • Strong data modeling, testing and quality practices.
  • Understanding of GxP, ALCOA+ in regulated data.
  • Excellent written and spoken English.
  • Experience with Collibra and SAP/LIMS/MES integrations is a plus.

Responsibilities

  • Design, build and maintain batch and streaming pipelines.
  • Integrate data from SAP, LIMS and MES systems.
  • Develop modular, testable transformations using SQL and Python.
  • Build layered data models using dimensional and medallion architecture concepts.
  • Orchestrate workflows and automate deployments through CI/CD.
  • Implement data quality, lineage and monitoring controls.
  • Optimize pipeline performance, reliability and cost.
  • Ensure data pipelines meet GxP, data integrity and audit-trail requirements.

Skills

Advanced SQL
Python
GxP & regulatory data handling
English communication
Data modeling concepts

Tools

Snowflake
ETL/ELT pipelines
Apache Airflow
dbt
Talend
AWS S3
Collibra

Job description

Templeton & Partners - Innovative & Inclusive Hiring Solutions is seeking a Data Engineer to build reliable data pipelines and support regulated pharmaceutical data products. The role involves designing, building and maintaining batch and streaming ingestion and transformation pipelines.

You will integrate SAP, LIMS and MES data, develop SQL/Python transformations, and implement data quality, governance and monitoring.

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