Senior Data Engineer: Scalable Data Pipelines & Mentorship

EPAM Systems

Amsterdam

Hybrid

EUR 110.000 - 150.000

Vollzeit

Vor 8 Tagen

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Benefits dieser Stelle

26 paid holiday days
Pension plan scheme
Disability insurance
Stock Purchase Plan (ESPP)
Commuting to work - costs reimbursed
Laptop + corporate simcard

Zusammenfassung

EPAM Systems in Amsterdam, NL, is hiring a Senior Data Engineer to design and optimize end-to-end data foundations and analytics solutions in a hybrid setup.

You will lead data model development, ETL/ELT processes, and data quality while collaborating with stakeholders to translate data strategy into actionable outcomes. Mentoring teammates and driving best practices are core responsibilities.

Qualifikationen

  • 8+ years of professional experience in data engineering or related roles.
  • Master-level expertise in AWS, Azure, or SAP data ecosystems.
  • Strong proficiency in ELT, data modeling, and data integration.
  • Hands-on with data ingestion, processing, and orchestration frameworks.
  • Proven ability to lead solution delivery and mentor junior engineers.

Aufgaben

  • Design and build scalable data solutions and pipelines for enterprise platforms.
  • Develop data models, manage ETL/ELT processes, and ensure data quality.
  • Collaborate with stakeholders to embed data-driven thinking across business units.
  • Coordinate change, incident, and problem management processes.
  • Mentor junior data engineers and drive engineering best practices.

Kenntnisse

ELT
Data Modeling
Data Integration
Cloud ecosystems (AWS/Azure/SAP)
Data Orchestration

Ausbildung

Bachelor’s degree in Computer Science or Data Engineering

Tools

Data Factory
Databricks
SQL DB
Synapse
Airflow
Kinesis
Redshift
GitHub Actions
Azure DevOps

Jobbeschreibung

EPAM Systems in Amsterdam, NL, is hiring a Senior Data Engineer to design and optimize end-to-end data foundations and analytics solutions in a hybrid setup.

You will lead data model development, ETL/ELT processes, and data quality while collaborating with stakeholders to translate data strategy into actionable outcomes. Mentoring teammates and driving best practices are core responsibilities.

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