Your Challenge
As a
Senior Microsoft Data Engineer
, you play a key role in designing, building, and optimizing our data platform within the Microsoft Azure environment. You’ll coordinate, set out technical guidelines, and translate complex source data into reliable, scalable data solutions that drive business growth. You’ll act both as a technical expert and as a coach to your colleagues.
Your Responsibilities
Design and implement robust data pipelines using
Azure Data Factory, DBT, Synapse
, and
Databricks
.
Safeguard data quality and security by applying
data governance, lineage, and security
aligned with regulations (including GDPR).
Evaluate and optimize performance, reliability, and scalability of data solutions.
Contribute to
data modeling
in modern data warehouse architectures (medallion, lakehouse) and think in terms of
data as a product
.
Define clear
data contracts
with the business, including agreements on delivery, error handling, and access rights.
Act as
tech lead
within projects, mentor colleagues, and collaborate closely with data analysts and business stakeholders.
Manage
CI/CD processes
for data pipelines via
Azure DevOps
.
Your Profile
We’re looking for someone with the following strengths:
At least
10 years of experience
as a Data Engineer, including
2+ years with Microsoft Azure
.
In-depth knowledge of
Azure Data Factory, Azure Synapse, Azure SQL, Databricks, DBT
, and
Power BI
.
Strong programming skills in
SQL
and
Python
.
Understanding of
data governance, lineage, security, and compliance
in regulated sectors.
Clear communication skills with both technical and non-technical stakeholders and the ability to argue your case persuasively.
A true
team player
with coaching skills and a critical mindset.
Experience with
Agile/Scrum
methodologies is an advantage.
Familiarity with
data contracts
and
data product thinking
is a strong plus.
Fluent in
English
, with a basic knowledge of
Dutch
or
French
.
Triggered? Let us know.
📞 0456 960 832
✉️ luna@recurv.be