
Head of Data Engineering
17 hours ago
Head of Data Engineering
Location:
Bucharest, Romania
(Hybrid / Flexible Working)
Employment Type:
Permanent
Salary:
Competitive + Bonus + Benefits
Industry:
Banking & Financial Services
Key Technologies:
Azure | DataBricks | ADF | Cloud Migration | Data Engineering
About the Role
We are seeking an experienced
Head of Data Engineering
to lead a major transformation programme for a leading banking organisation. You will be responsible for driving the
migration of on-premise Oracle-based data centres
into a
modern Azure cloud and Databricks ecosystem
, shaping the bank's next-generation data platform and analytics capabilities.
This is a
strategic leadership role
that combines
hands-on technical expertise
with
team leadership
,
stakeholder management
, and
cloud migration strategy
. You will work closely with senior business leaders, architects, and engineering teams to deliver a scalable, secure, and future-ready data environment.
Key Responsibilities
- Lead and grow the
Data Engineering
function, managing and mentoring a team of engineers and architects. - Drive the
data platform modernisation strategy
, overseeing the migration from
on-premise Oracle data centres
to
Azure and Databricks
. - Collaborate with stakeholders, architects, and product owners to design a scalable
data platform architecture
. - Ensure high availability, performance, and security of data pipelines and storage layers.
- Oversee the delivery of
ETL/ELT pipelines
using
Azure Data Factory (ADF)
,
Databricks
, and
Azure Data Lake
. - Partner with the business and data analytics teams to enable advanced analytics and reporting capabilities.
- Define and implement
best practices
for
data governance, quality, and compliance
in a regulated financial environment. - Keep abreast of emerging
cloud, AI, and data engineering
trends to drive innovation within the organisation.
Key Skills & Experience
Essential:
- Proven leadership experience heading up
data engineering
or
data platform
teams. - Strong background in
Azure
ecosystem tools —
Databricks, Azure Data Factory (ADF), Azure Data Lake, Synapse
. - Hands-on experience managing
large-scale data migration projects
from on-prem to cloud. - Excellent understanding of
ETL / ELT pipelines
,
data modelling
, and
big data frameworks
. - Strong knowledge of
SQL
and experience working with
Oracle
or other RDBMS. - Skilled in
Python
or
PySpark
for data processing and automation. - Strong stakeholder management skills, especially within
banking or regulated financial environments
.
Desirable:
- Previous experience in
banking, fintech, or large-scale financial services organisations
. - Experience working with
CI/CD pipelines
,
DevOps
, and
cloud security best practices
.
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