Data Platform Lead — AWS & Databricks Engineer

High Tech Campus Eindhoven

Eindhoven

Hybrid

EUR 90,000 - 130,000

Full time

3 days ago
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Job summary

CGI Eindhoven seeks a Lead Data Engineer to design modern cloud-native data platforms using AWS and Databricks, powering analytics and AI across industries. You will mentor engineers and influence best practices within the Data & Analytics practice.

You will design data lakes/warehouses, build scalable ETL/ELT pipelines, and shape data models and governance while collaborating with architects and stakeholders in an agile environment.

Qualifications

  • 10+ years of experience as a Data Engineer
  • Experience with cloud-native data platforms
  • Strong knowledge of Data Engineering, ETL/ELT, Data Modeling, and Data Warehousing

Responsibilities

  • Design and develop Data Lakes, Data Warehouses, and Lakehouse solutions.
  • Build scalable ETL/ELT pipelines for batch and real-time processing.
  • Design data models, data quality, and governance solutions.
  • Implement cloud-native data architectures on AWS.
  • Develop event-driven and serverless solutions.
  • Support analytics, BI, AI, and ML initiatives.
  • Coach Data Engineers and contribute to architecture and design decisions.
  • Collaborate within Agile teams on innovative client solutions.

Skills

Data Engineering
ETL/ELT
Data Modeling
Data Warehousing
Cloud-native architectures
Mentoring teams

Education

Bachelor’s or Master’s degree in Computer Science/Data Science/Informatics

Tools

AWS
Databricks
Delta Lake
Unity Catalog
Lakehouse Architecture
Snowflake / Microsoft Fabric

Job description

CGI Eindhoven seeks a Lead Data Engineer to design modern cloud-native data platforms using AWS and Databricks, powering analytics and AI across industries. You will mentor engineers and influence best practices within the Data & Analytics practice.

You will design data lakes/warehouses, build scalable ETL/ELT pipelines, and shape data models and governance while collaborating with architects and stakeholders in an agile environment.

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