Senior Azure Databricks Data Engineer - Banking Client
Salt · Belgium ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 5+ years
Salt · Belgium ·
Integrant · Maadi, Al Qāhirah, Egypt
Talensa · London, United Kingdom
Younity · Auckland
Avanade · Brisbane, 10 Eagle Street
Six-month contract for a hands-on senior data engineer to build production-grade data pipelines, Delta Lake/Lakehouse solutions and reusable components on Azure Databricks for a banking client. Hybrid: 8 onsite days per month in Brussels, rest remote. Core stack: Python, PySpark, Scala, SQL, Delta Lake, ADF, Azure DevOps.
Location: Brussels, Belgium – Hybrid
Rate: Flexible
Onsite: 8 days per month in Brussels
Remote: Remaining days can be worked remotely
Engagement: Umbrella preferred; Belgian company/BV can also be considered
Duration: 6 months
We are looking for an experienced Senior Azure Databricks Data Engineer to join a large-scale enterprise data transformation programme within a complex financial services environment.
This is a hands-on engineering position for someone who enjoys designing, developing and optimising production-grade data solutions rather than operating purely at architecture or management level.
You will work within a modern Microsoft Azure and Databricks ecosystem, building scalable data pipelines, Lakehouse solutions and reusable engineering components that support analytics, applications and emerging AI/ML use cases.
The role combines Data Engineering, Databricks/Spark development and software engineering, so we are particularly interested in engineers with strong coding skills and experience taking data solutions from design through to production.
Work across a modern Azure data ecosystem including:
You will work closely with Cloud, Architecture and Platform teams to ensure solutions are secure, scalable, observable and aligned with enterprise standards.
This role goes beyond traditional ETL development.
You will apply strong software engineering practices to data applications, including:
You will be expected to contribute to the overall quality of the engineering environment rather than simply delivering individual pipelines.
Terraform expertise is beneficial, but this is primarily a Data Engineering and application-development role rather than an Infrastructure Engineering position.
As a senior member of the engineering team, you will also:
You should have at least 5 years of hands-on Data Engineering / Data Application Development experience, ideally within large enterprise environments.
Strong hands-on experience with:
We are particularly interested in candidates who can demonstrate that they have personally designed and developed production Databricks/PySpark solutions, rather than only managing teams or defining architecture.
Experience with any of the following would be advantageous:
Relevant certifications are advantageous, particularly:
The strongest candidate will be someone who can say:
"I personally build production Azure Databricks solutions. I write Python/PySpark code, build and optimise Spark pipelines, work with Delta Lake and ADF, automate deployments through CI/CD, troubleshoot production issues and understand how to engineer scalable data solutions rather than simply design them."
This is not primarily a BI, reporting or high-level Data Architecture position. We are looking for a genuinely hands-on senior engineer who is comfortable getting into the code.
The position offers a highly flexible hybrid model:
8 days per month onsite in Brussels, with the remainder of the month worked remotely.
The preferred engagement model is via an Umbrella solution. Consultants operating through their own Belgian company/BV may also be considered.
Candidates must be comfortable committing to the 8 days per month onsite in Brussels.
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