Senior Data Engineer – Azure Databricks

Confidential

Not specified contract

Posted: March 13, 2026

Required Skills

Job Description

Who are we?

Billigence is a boutique data consultancy with global reach, helping organisations transform the way they work with data. We specialise in delivering high-impact data solutions across Business Intelligence, Data Engineering, Data Governance, Cloud Data Platforms, and Advanced Analytics. Headquartered in Sydney with offices across the UK, Europe, and APAC, Billigence partners with organisations to design and implement modern data platforms that drive better decision-making and business outcomes.

Our teams work on complex, enterprise-scale data programmes across a variety of industries including retail, financial services, and technology.

About the role:

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.

What you’ll do:

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

What you’ll need:

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

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