Senior Python Data Warehouse Developer

Cpl Group

Dublin

Hybrid

EUR 90,000 - 130,000

Full time

4 days ago
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Benefits offered by this job

Hybrid work
Salary & benefits
Private medical
Wellbeing services
Annual leave
Career development

Job summary

Cpl Group, a leading financial services partner in Ireland, seeks an experienced Data Warehouse Developer with strong Python skills to modernise an SQL Server warehouse to a cloud Lakehouse. You will influence technical direction, manage migrations and partner with stakeholders in an Agile environment.

In this senior role, you will design data pipelines, optimize ETL/ELT, and ensure governance, security and reliability across platforms such as Azure Databricks and Microsoft Fabric.

Qualifications

  • 7+ years of data warehouse and SQL Server development.
  • Strong hands-on experience with Azure Databricks and Microsoft Fabric.
  • Advanced T-SQL and Python programming.
  • Experience delivering Lakehouse, cloud migration or modernization projects.
  • ETL/ELT, data modelling and performance tuning skills.
  • Experience supporting production systems.
  • CI/CD and DevOps practices.
  • Excellent communication and ability to work independently.
  • Desirable: financial services background, Azure Data Factory, Power BI, cloud certs.

Responsibilities

  • Design, build and support cloud data solutions using Azure Databricks and Microsoft Fabric.
  • Develop and optimise ETL/ELT pipelines and data integration processes.
  • Maintain and tune SQL Server databases, stored procedures and views.
  • Write Python for automation, orchestration, monitoring and data quality.
  • Contribute to the move to a Medallion Lakehouse architecture (Bronze/Silver/Gold).
  • Manage job scheduling and workflow automation (AutoSys and JIL scripting).
  • Resolve production incidents and provide on-call support.
  • Work with business stakeholders, analysts and engineering teams in an Agile environment.
  • Help shape architecture decisions and uphold governance, security and audit standards.

Skills

Azure Databricks
Python
T-SQL
SQL Server
DevOps / CI-CD
Stakeholder management
Lakehouse architecture

Tools

Azure Databricks
Microsoft Fabric
AutoSys
JIL scripting
Power BI
Azure Data Factory

Job description

Cpl are partnering with a leading financial services organisation to hire an experienced, hands-on Data Warehouse Developer with strong Python skills. You'll help move a long-established SQL Server warehouse onto a modern cloud Lakehouse platform, while keeping the existing environment stable and reliable. This is a senior role with real influence over technical direction.

Responsibilities
  • Design, build and support cloud data solutions using Azure Databricks and Microsoft Fabric
  • Develop and optimise ETL/ELT pipelines and data integration processes
  • Maintain and tune SQL Server databases, stored procedures and views
  • Write Python for automation, orchestration, monitoring and data quality
  • Contribute to the move to a Medallion (Bronze/Silver/Gold) Lakehouse architecture
  • Manage job scheduling and workflow automation, including AutoSys and JIL scripting
  • Resolve production incidents and take part in on-call support
  • Work with business stakeholders, analysts and engineering teams in an Agile environment
  • Help shape architecture decisions and uphold governance, security and audit standards
Requirements
  • 7+ years' experience in data warehouse and SQL Server development
  • Strong hands-on experience with Azure Databricks and Microsoft Fabric
  • Advanced T-SQL and strong Python programming skills
  • Proven experience delivering Lakehouse, cloud migration or modernisation projects
  • Solid ETL/ELT, data modelling and performance tuning skills
  • Experience supporting business-critical production systems
  • Knowledge of CI/CD and DevOps practices
  • Strong communication and stakeholder skills, with the ability to work independently
  • Desirable: financial services background, Azure Data Factory, Power BI, relevant cloud certifications
On offer
  • Hybrid and flexible working
  • Competitive salary and benefits package
  • Private medical, life and disability cover
  • Wellbeing support, including counselling and coaching services
  • Generous annual leave
  • Learning and career development opportunities

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