Senior Data Engineer – Azure Databricks

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    "description": "<p><span style=\"font-weight: bold\"><span>Who are we?</span></span></p>\n<p><span>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.</span></p>\n<p><span>Our teams work on complex, enterprise-scale data programmes across a variety of industries including retail, financial services, and technology.</span></p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\"><span>About the role:</span></span></p>\n<p><span>Billigence is currently supporting a <span style=\"font-weight: bold\">global Financial Services client</span> on a major <span style=\"font-weight: bold\">data platform modernisation initiative centred around Azure Databricks</span>.</span></p>\n<p><span>We are looking for an experienced <span style=\"font-weight: bold\">Senior Data Engineer based in India</span> to support the delivery of scalable enterprise data pipelines as part of a distributed global engineering team.</span></p>\n<p><span>The role will focus on building pipelines that ingest accounting and operational data from the client’s <span style=\"font-weight: bold\">back-office provider </span>and exposing curated datasets through <span style=\"font-weight: bold\">Databricks SQL and APIs</span>.</span></p>\n<p><span>The client currently operates ingestion pipelines through <span style=\"font-weight: bold\">Azure Synapse notebooks</span> but is transitioning to <span style=\"font-weight: bold\">Azure Databricks</span>, creating an opportunity to modernise and improve pipeline design, performance, and scalability.</span></p>\n<p><span>You will help establish <span style=\"font-weight: bold\">best-practice patterns for data ingestion, transformation, and storage within the Databricks Delta Lake environment</span>, supporting both historical data ingestion and ongoing operational data flows.</span></p>\n<p><span>This role will begin as a <span style=\"font-weight: bold\">6-month contract</span>, with a strong likelihood of extension based on performance and project requirements.</span></p>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\"><span>What you’ll do:</span></span></p>\n<ul>\n<li><span>Build and optimise <span style=\"font-weight: bold\">data pipelines within Azure Databricks</span></span></li>\n<li><span>Support migration of existing <span style=\"font-weight: bold\">Azure Synapse notebook pipelines</span></span></li>\n<li><span>Design scalable <span style=\"font-weight: bold\">data models and storage patterns within Delta Lake</span></span></li>\n<li><span>Integrate historical data from <span style=\"font-weight: bold\">on-premise data warehouses</span></span></li>\n<li><span>Build new ingestion pipelines from <span style=\"font-weight: bold\">SQL Server stored procedures</span></span></li>\n<li><span>Implement scalable <span style=\"font-weight: bold\">ingestion frameworks and reusable pipeline patterns</span></span></li>\n<li><span>Collaborate with <span style=\"font-weight: bold\">global data engineering teams across the UK and India</span></span></li>\n<li><span>Contribute to <span style=\"font-weight: bold\">best practices and platform standards</span> for future pipeline development</span><br></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\"><span>What you’ll need:</span></span></p>\n<ul>\n<li><span>Strong experience working as a <span style=\"font-weight: bold\">Data Engineer or Senior Data Engineer</span></span></li>\n<li><span>Hands-on experience with <span style=\"font-weight: bold\">Azure Databricks</span></span></li>\n<li><span>Strong understanding of <span style=\"font-weight: bold\">Delta Lake architecture</span></span></li>\n<li><span>Experience with <span style=\"font-weight: bold\">Azure Synapse, Spark, and modern cloud data platforms</span></span></li>\n<li><span>Strong SQL and experience working with <span style=\"font-weight: bold\">enterprise data systems</span></span></li>\n<li><span>Experience building <span style=\"font-weight: bold\">data pipelines and ETL/ELT frameworks</span></span></li>\n<li><span>Ability to work effectively in <span style=\"font-weight: bold\">distributed global teams</span></span></li>\n<li><span>Experience within <span style=\"font-weight: bold\">Financial Services or regulated industries</span> is beneficial</span></li>\n</ul>",
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