Head of Data Engineering

2 weeks ago

Bucharest, Bucureşti, Romania Tiger Resourcing Group Full time €90,000 - €120,000 per year

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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