IT Engineer IV

Randstad Professional

Description of activities:

We are looking for a data engineer at BUUT to design, build, and maintain a scalable, general-purpose data lake and data pipelines that enable the L&I (learning&insights) team to generate actionable insights. This role will ensure data accessibility, quality, and performance for both analytical and reporting needs, reducing dependency on multiple engineers and creating a unified, efficient data infrastructure.

- With the following results:

1. Data Pipeline Development

• Design and implement at least 2–3 robust data pipelines that support L&I analytics and reporting needs.
• Ensure pipelines are automated, tested, and monitored for reliability.

1. Enable Analytics & Insights

• Provide usable datasets and query capabilities for L&I to generate insights.
• Deliver at least one analytics feature or dashboard powered by the new data infrastructure.

1. Operational Excellence

• Implement CI/CD workflows for data jobs (GitHub Actions).
• Set up basic monitoring and alerting for pipeline health and data quality.

1. Data Governance & Quality

• Define and apply data quality checks (row-level and aggregate).
• Establish data lineage documentation for key pipelines.

- Relevant knowledge skills & competences:

Must-haves:

Tools & Platforms:

• Version Control & CI/CD: GitHub, GitHub Actions
• At least one major cloud platform: AWS, Azure, or Databricks

Languages: Python, SQL

Experience: Minimum 3 years creating and maintaining data pipelines

Core Knowledge:

• Data pipelines (ETL), orchestration (batch vs streaming)
• Data modeling (star schema, dimensional modeling, SCD)
• OLTP vs OLAP concepts
• Testing (unit, integration, E2E)
• Data governance basics (lineage, quality checks)

Nice-to-haves:

Tools & Platforms:

• AWS services: Glue, Athena, DynamoDB, Step Functions
• Languages: PySpark, Golang

Patterns & Techniques:

• Infrastructure as Code (AWS CloudFormation)
• Table formats: Iceberg / Delta / Hudi
• Schema evolution, reprocessing, monitoring
• Medallion architecture
• Distributed data processing

Experience:

• Improving SDLC for data teams (validation, testing automation)
• Generating insights for end-users (e.g., personalization)

Uiteraard staat deze vacature open voor iedereen die zich hierin herkent.

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Je sollicitatie en cv worden doorgenomen door Gustavo Muller Adade

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