We are looking for
two highly skilled Platform Data Engineers
to join a cutting-edge
Customer Save & Open API team.

This is not your typical data role — it’s a
hybrid of Data Engineering and Azure Platform Engineering
, where you will play a key role in building and enhancing a
modern, scalable One Data Platform (ODP)
aligned to enterprise-wide data strategy.

You’ll be working on
high-impact data products
, enabling advanced analytics, real-time insights, and next-generation customer experiences.

As a Platform Data Engineer, you will:

• 
  Translate
  business requirements, architecture, and data models
  into scalable technical solutions
• 
  Design and build
  metadata-driven data ingestion pipelines
  using
  Azure Data Factory
  and
  Databricks
• 
  Develop and maintain the
  Enterprise Data Warehouse
  (Kimball methodology)
• 
  Build
  data products
  using
  Databricks
  and
  Microsoft Fabric
  (Lakehouse, Warehouse, Pipelines, Semantic Models)
• 
  Implement end-to-end
  data engineering lifecycle
  within the One Data Platform (ODP)
• 
  Engineer
  real-time streaming solutions
  using
  Azure Event Hubs
  and
  Stream Analytics
• 
  Drive
  DevOps excellence
  (CI/CD, automation, infrastructure-as-code)
• 
  Ensure
  data quality, testing, and performance optimization
  across pipelines
• 
  Design reusable
  Azure templates and deployment components
• 
  Promote
  data governance, security, and best practices
  (Purview, Unity Catalog)
• 
  Collaborate closely with
  business stakeholders and cross-functional teams
• 
  Contribute to
  Group Data Engineering standards, frameworks, and best practices

Requirements

What You Bring

Core Experience

• 
  6+ years in
  Data Engineering / Platform Engineering
• 
  Strong experience in
  Azure data ecosystem
• 
  Hands-on expertise in
  Microsoft Fabric
  (Lakehouse, Pipelines, Semantic Models)
• 
  Proven experience with
  Apache Spark
  for large-scale data processing
• 
  Strong SQL skills (
  T-SQL
  ) and data analysis capability

Technical Skills

• 
  Azure Stack:
  • 
    Azure Data Factory
  • 
    Azure Event Hubs
  • 
    Azure Synapse Analytics
  • 
    ADLS Gen2
  • 
    Azure Stream Analytics
• 
  Databricks
  (including Unity Catalog)
• 
  ETL/ELT pipeline development
  (batch & real-time)
• 
  Data modelling:
  Kimball
  &
  Data Vault 2.0
• 
  Programming:
  Python, SQL, C#
• 
  Data tools:
  Pandas, Spark

DevOps & Automation

• 
  Azure DevOps (Repos, Pipelines, CI/CD)
• 
  Infrastructure as Code (
  Bicep, ARM, Azure CLI, PowerShell, Bash
  )
• 
  Automated deployment pipelines

Security & Governance

• 
  Azure Active Directory (Authentication & Authorization)
• 
  Data governance tools (
  Microsoft Purview
  )
• 
  Secure data design & compliance best practices

Nice to Have

• 
  Experience in
  Banking / Financial Services
• 
  Exposure to
  Open Banking technologies
• 
  Knowledge of
  Data Mesh architectures

Qualifications & Certifications

• 
  Bachelor’s degree in Computer Science or related field (or equivalent experience)
• 
  Mandatory Azure Certification
  :
  • 
    AZ-900
    or
    DP-203 / DP-600 / DP-700
• 
  Bonus:
  • 
    Databricks Certifications (Fundamentals / Data Engineer Associate / Architect)