Principal Azure Data Engineer (Databricks)
Job Description
<h1 data-section-id="10zw60n" data-start="493" data-end="537"><span style="font-size: 12pt;">Principal <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Azure</em> Data Engineer (<em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Databricks</em>)</span></h1> <p data-start="539" data-end="636"><strong data-start="539" data-end="552">Location:</strong> London (Hybrid) | <strong data-start="571" data-end="589">Practice Area:</strong> Technology & Engineering | <strong data-start="617" data-end="626">Type:</strong> Permanent</p> <p data-start="638" data-end="723"><strong data-start="638" data-end="723">Lead the architecture of data platforms driving the future of financial services.</strong></p> <h2 data-section-id="1hl1yo8" data-start="725" data-end="740"><span style="font-size: 12pt;"><strong data-start="728" data-end="740">The Role</strong></span></h2> <p data-start="742" data-end="1535">As a <strong data-start="747" data-end="793">Principal <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Azure</em> Data Engineer (<em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Databricks</em>)</strong> at Capco, you'll architect and lead the delivery of enterprise-grade data solutions using the <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Databricks</em> platform within the <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Azure</em> ecosystem. You'll drive the design and implementation of streaming and batch data pipelines, helping our clients modernise their data capabilities. Working with cross-functional teams, you'll guide clients on technical strategy and best practices while ensuring quality, security, and governance standards are maintained across deployments. You'll also champion AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices.</p> <h2 data-section-id="1xihhvk" data-start="1537" data-end="1558"><span style="font-size: 12pt;"><strong data-start="1540" data-end="1558">What You'll Do</strong></span></h2> <ul data-start="1560" data-end="2305"> <li data-section-id="1md5o5v" data-start="1560" data-end="1666">Architect and lead the end-to-end delivery of <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Databricks</em>-based data platforms across <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Azure</em> environments.</li> <li data-section-id="axuiq1" data-start="1667" data-end="1857">Design secure, scalable data pipelines using Delta Lake, <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Spark</em> Structured Streaming, Unity Catalog, and <em class="Highlight ht12570a5c-fe4a-4faf-85ad-9359aedf0c1d">Azure</em>-native services, applying AI-enabled engineering approaches where appropriate.</li> <li data-section-id="b7w7z9" data-start="1858" data-end="2000">Establish and promote engineering best practices across the data lifecycle, ensuring robust governance, quality, and operational excellence.</li> <li data-section-id="hqjs85" data-start="2001" data-end="2135">Partner with clients to define technical strategy, data architecture, and governance frameworks that align with business objectives.</li> <li data-section-id="jmseyq" data-start="2136" data-end="2305">Mentor engineering teams, develop internal capability, and encourage the responsible use of approved AI tools and automation to enhance delivery and collaboration.</li> </ul> <h2 data-section-id="u9wm