Data-Driven DevOps Engineer: Pipelines & Archives

Levy Professionals; Utrecht; On-site; EUR 70,000 - 95,000; Full time

Job summary

Levy Professionals seeks an experienced DevOps Engineer with a strong Data Engineering mindset to join a challenging project focused on data archiving, automation and modern data pipelines. You’ll move data into secure object storage, build searchable archives, and help organisations retain and access legacy application data efficiently.

You’ll work on automated ETL pipelines, design solutions for diverse data, and collaborate with cross-functional teams to meet tight timelines while ensuring

Qualifications

• Strong experience with Python or PowerShell across Windows and Linux.
• Experience with at least one object-oriented language such as C#, JavaScript or .NET.
• Experience with UI development, ideally React.
• Experience building and optimising data pipelines and working with large datasets.
• Strong analytical skills across structured and unstructured data.
• Experience designing data transformation, metadata and workload management processes.
• Good understanding of data engineering and ETL concepts.
• Excellent communication skills in English.

Responsibilities

• Build and maintain automated ETL and data pipelines
• Design solutions for structured and unstructured data
• Develop searchable archives for regulatory and compliance requirements
• Create frameworks for ingesting decommissioned application data
• Develop secure interfaces for searching archived data
• Automate infrastructure and deployment processes
• Code, test, document and maintain production-ready solutions
• Work with cross-functional teams and communicate progress, risks and technical decisions
• Deliver solutions to demanding timelines and support customer handover

Skills

Python

PowerShell

C#

JavaScript

React

Data pipelines

Tools

SIARD

HCP

Solr

MSSQL

Oracle

Job description

Levy Professionals seeks an experienced DevOps Engineer with a strong Data Engineering mindset to join a challenging project focused on data archiving, automation and modern data pipelines. You’ll move data into secure object storage, build searchable archives, and help organisations retain and access legacy application data efficiently.

You’ll work on automated ETL pipelines, design solutions for diverse data, and collaborate with cross-functional teams to meet tight timelines while ensuring