Data Engineer (Databricks)

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    "description": "<p><span style=\"font-weight: bold\">JOB SUMMARY</span></p>\n<p><br>We are seeking an experienced Data Engineer with strong hands-on Databricks expertise to support the design, development, and optimization of enterprise data solutions. The successful candidate will have deep experience building and maintaining ELT pipelines, working with large-scale data platforms, and applying modern data architecture principles. This role requires alignment to UK business hours and on-site presence at our delivery center.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">JOB RESPONSIBILITIES</span></p>\n<p><br></p>\n<ul>\n<li>Design, develop, and maintain ELT pipelines using Databricks and related technologies. </li>\n<li>Build and optimize large-scale data processing workflows using PySpark and SQL. </li>\n<li>Develop and manage data models to support analytics, reporting, and business intelligence requirements. </li>\n<li>Implement and support data Lakehouse architectures and data warehousing solutions. </li>\n<li>Collaborate with data analysts, architects, and business stakeholders to understand and deliver on data requirements. </li>\n<li>Ensure data quality, integrity, and governance across all data platforms. </li>\n<li>Monitor and troubleshoot data workflows, pipeline performance, and platform issues. </li>\n<li>Contribute to continuous improvement of data engineering standards and practices. </li>\n<li>Support and work during UK business hours as required.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">REQUIRED TECHNICAL SKILLSET</span></p>\n<p><br></p>\n<ul>\n<li>Strong hands-on experience with Databricks (Delta Lake, Databricks Workflows, Unity Catalog). </li>\n<li>Proven experience building and supporting ELT pipelines at scale. </li>\n<li>Strong proficiency in PySpark and SQL. </li>\n<li>Experience with data modeling techniques and best practices. </li>\n<li>Good understanding of data Lakehouse architecture and data warehousing concepts. </li>\n<li>Experience with version control tools (e.g., Git). </li>\n<li>Familiarity with cloud platforms (Azure preferred; AWS or GCP considered). </li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">PREFERRED EXPERIENCE </span></p>\n<p><br></p>\n<ul>\n<li>Experience with orchestration tools such as Apache Airflow or Azure Data Factory. </li>\n<li>Exposure to data governance frameworks and tools (e.g., Unity Catalog, Microsoft Purview). </li>\n<li>Experience in enterprise consulting or regulated industry environments. </li>\n<li>Experience working with globally distributed teams across different time zones. </li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">CERTIFICATIONS PREFERRED</span></p>\n<p><br><br></p>\n<ul>\n<li>Databricks Certified Associate Developer for Apache Spark. </li>\n<li>Databricks Certified Data Engineer Associate or Professional. </li>\n<li>Microsoft Certified: Azure Data Engineer Associate (DP-203) or equivalent. </li>\n<li>Additional data or cloud certifications are a plus.<br></li>\n</ul>",
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