BI & Data Platform Engineer

Antares Global Management Ltd.

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

9 days ago

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Job summary

Antares Global Management Ltd. is seeking a BI Developer / Data Engineer to build and evolve the Enterprise Data Platform and BI estate, delivering reliable data solutions across SQL Server, Microsoft BI, Azure Data Factory and modern cloud services.

You will work hands-on with finance data, apply governance, testing and deployment practices, and collaborate with business users to meet reporting needs while ensuring data quality and scalable data pipelines.

Qualifications

  • Build reliable, scalable data solutions across BI platforms and data stores.
  • Apply governance, testing, and deployment practices to BI solutions.
  • Experience with finance and/or insurance data and data sourcing across platforms.

Responsibilities

  • Deliver BI, DWH and EDP solutions meeting business needs.
  • Develop ETL/ELT components using SQL Server, SSIS, ADF and cloud services.
  • Support API-based integrations; Workday integration experience is a plus.
  • Contribute to data snapshotting, Parquet storage, and Fabric/lakehouse development where required.
  • Ensure code is tested and deployed through established release processes.
  • Identify and resolve data quality, pipeline and reporting issues promptly.
  • Adhere to GDPR and relevant regulatory standards.

Skills

BI development
Data engineering
ETL/ELT pipelines
Data governance
Testing
Code review
Data quality

Tools

SQL Server
SSIS
Azure Data Factory
Fabric
Python
Parquet
Workday integration

Job description

Antares Global Management Ltd. is seeking a BI Developer / Data Engineer to build and evolve the Enterprise Data Platform and BI estate, delivering reliable data solutions across SQL Server, Microsoft BI, Azure Data Factory and modern cloud services.

You will work hands-on with finance data, apply governance, testing and deployment practices, and collaborate with business users to meet reporting needs while ensuring data quality and scalable data pipelines.

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