<p data-end="238" data-start="57"><strong data-start="57" data-end="87">Data Engineer (Databricks)</strong><br data-end="90" / data-start="87"> <strong data-start="90" data-end="103">Location:</strong> London (Hybrid - 2 days onsite and 3 days from home )<br / data-end="138" data-start="135"> <strong data-start="138" data-end="147">Type:</strong> Permanent<br data-end="160" / data-start="157"> <strong data-end="169" data-start="160">Note:</strong> No sponsorship available<br data-start="194" data-end="197" /> <strong data-start="197" data-end="216">Represented by:</strong> Robert Half Limited</p><p data-end="498" data-start="240">Our client is a fast-growing tech business building a modern data platform. They're looking for a <strong data-start="338" data-end="355">Data Engineer</strong> with strong <strong data-start="368" data-end="382">Databricks</strong> skills to design, build, and optimise scalable data pipelines and models that power analytics across the company.</p><p data-end="517" data-start="500"><strong data-start="500" data-end="515">Key Skills:</strong></p><ul data-start="518" data-end="713"><li data-end="551" data-start="518"><p data-end="551" data-start="520">3-5+ years as a Data Engineer</p></li><li data-start="552" data-end="604"><p data-end="604" data-start="554">Hands-on with <strong data-end="602" data-start="568">Databricks, Spark, Python, SQL</strong></p></li><li data-end="646" data-start="605"><p data-start="607" data-end="646">Cloud experience (Azure, AWS, or GCP)</p></li><li data-start="647" data-end="713"><p data-start="649" data-end="713">Strong understanding of data quality, governance, and security</p></li></ul><p data-end="734" data-start="715"><strong data-end="732" data-start="715">Nice to Have:</strong></p><ul data-start="735" data-end="803"><li data-end="803" data-start="735"><p data-start="737" data-end="803">Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure</p></li></ul><p data-end="818" data-start="805"><strong data-end="816" data-start="805">You'll:</strong></p><ul data-start="819" data-end="936"><li data-start="819" data-end="855"><p data-start="821" data-end="855">Build and optimise ETL pipelines</p></li><li data-end="896" data-start="856"><p data-end="896" data-start="858">Enable analytics and reporting teams</p></li><li data-start="897" data-end="936"><p data-start="899" data-end="936">Drive automation and best practices</p></li></ul><p data-start="938" data-end="954"><strong data-start="938" data-end="952">Why Apply?</strong></p><ul data-end="1082" data-start="955"><li data-start="955" data-end="1000"><p data-start="957" data-end="1000">Modern tech stack, fast-paced environment</p></li><li data-start="1001" data-end="1035"><p data-start="1003" data-end="1035">Direct impact on data strategy</p></li><li data-end="1082" data-start="1036"><p data-start="1038" data-end="1082">Quick 2-stage process + excellent benefits</p></li></ul><p>Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice.</p><img src="https://counter.adcourier.com/dG9ueS5rb3lyYXR0eS4xMzgyOC4xMDkyM0ByaGkuYXBsaXRyYWsuY29t.gif">

Data Engineer, Data Engineer, Databricks,