[Hiring] Senior Data Engineer @Billigence

Role Description

Billigence is currently supporting a global Financial Services client on a major data platform modernisation initiative centred around Azure Databricks. We are looking for an experienced Senior Data Engineer based in India to support the delivery of scalable enterprise data pipelines as part of a distributed global engineering team. The role will focus on building pipelines that ingest accounting and operational data from the client’s back-office provider and exposing curated datasets through Databricks SQL and APIs.

The client currently operates ingestion pipelines through Azure Synapse notebooks but is transitioning to Azure Databricks, creating an opportunity to modernise and improve pipeline design, performance, and scalability. You will help establish best-practice patterns for data ingestion, transformation, and storage within the Databricks Delta Lake environment, supporting both historical data ingestion and ongoing operational data flows. This role will begin as a 6-month contract, with a strong likelihood of extension based on performance and project requirements.

Responsibilities

• Build and optimise data pipelines within Azure Databricks
• Support migration of existing Azure Synapse notebook pipelines
• Design scalable data models and storage patterns within Delta Lake
• Integrate historical data from on-premise data warehouses
• Build new ingestion pipelines from SQL Server stored procedures
• Implement scalable ingestion frameworks and reusable pipeline patterns
• Collaborate with global data engineering teams across the UK and India
• Contribute to best practices and platform standards for future pipeline development

Qualifications

• Strong experience working as a Data Engineer or Senior Data Engineer
• Hands-on experience with Azure Databricks
• Strong understanding of Delta Lake architecture
• Experience with Azure Synapse, Spark, and modern cloud data platforms
• Strong SQL and experience working with enterprise data systems
• Experience building data pipelines and ETL/ELT frameworks
• Ability to work effectively in distributed global teams
• Experience within Financial Services or regulated industries is beneficial

Location

• India (Remote)

Department

• Data Engineering & Advanced Analytics

Employment Type

• Contractor

Minimum Experience

• Experienced