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Senior data engineer - 975 per day - 3 year project

Bruxelles
Next Ventures
Publiée le 18 février
Description de l'offre

Senior Data Engineer (Contract)
Location : Brussels, Belgium
On-site: 1 day per week
Remote: 4 days per week
Contract Details
Rate: €950 per day
Duration: 3-year long-term project
Start Date: Flexible / ASAP

Overview
We are seeking an experienced Senior Data Engineer to join a long-term, strategic data transformation programme based in Brussels. The role sits within a modern data platform initiative leveraging cutting-edge data technologies, including Databricks, to deliver scalable, high-performance data solutions across the organization.
This is a senior-level position suited to someone who can operate autonomously, contribute to architectural decisions, and work closely with business and technical stakeholders.

Key Responsibilities
Design, build, and maintain scalable data pipelines and data platforms
Develop and optimize data processing workflows using Databricks (Spark)
Work with large, complex datasets in both batch and near real-time environments
Collaborate with data architects, data scientists, and analytics teams to enable advanced use cases
Ensure data quality, reliability, performance, and security across the platform
Contribute to best practices around data engineering, DevOps, and CI/CD
Support and mentor junior engineers where required
Engage with stakeholders to translate business requirements into technical solutions

Technical Skills & Experience (Required)
Extensive experience as a Senior Data Engineer on large-scale data platforms
Strong hands-on experience with Databricks and Apache Spark
Proficiency in Python (and/or Scala) for data engineering
Solid experience with cloud platforms (Azure, AWS, or GCP)
Strong knowledge of data modelling, ETL/ELT, and data warehousing concepts
Experience working with modern data architectures (Lakehouse, Data Lake, etc.)
Familiarity with CI/CD, version control, and Infrastructure as Code
Strong SQL skills

Nice to Have
Experience in regulated environments (e.g. banking, financial services, insurance)
Exposure to streaming technologies (e.g. Kafka, Spark Structured Streaming)
Experience with data governance, lineage, and cataloguing tools

Soft Skills
Excellent communication skills and stakeholder management
Ability to work independently in a senior, trusted role
Strong problem-solving mindset
Comfortable working in an international, enterprise environment

Why This Role
Long-term 3-year programme offering stability and impact
Work with latest-generation data technologies
Hybrid working model with minimal on-site requirement
High daily rate reflecting seniority and responsibility

Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting, Investment Banking, and Software Development

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