Data Engineer

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    "departmentLabel": "DATA AND ANALYTICS",
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    "location": {
      "city": "Gzira",
      "state": "Malta",
      "postalCode": "GZR 1052",
      "addressCountry": "Malta"
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    "datePosted": "2026-05-19",
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    "description": "<p><span style=\"font-size: 12pt\"><span style=\"font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\">We are seeking a Data Engineer to join our Data &amp; Analytics team, responsible for building and maintaining scalable data pipelines, data models, and cloud-based infrastructure that powers data and analytics across the organisation.</span><span style=\"font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\"> </span></span></p>\n<p><span style=\"font-size: 12pt\"><br></span><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\"><span style=\"font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\">YOUR CHALLENGE:</span></span></p>\n<p><span style=\"font-size: 12pt\"><br></span><br></p>\n<ul>\n<li><span><span>Design and develop data pipelines using </span><span>Python (</span><span>PySpark</span><span>)</span><span>, applying best practices for performance and reliability.</span></span><span> </span></li>\n<li><span><span>Ingest and integrate </span><span>(</span><span>real-time</span><span>, batch) </span><span>diverse data sources into the data lake, ensuring data quality and accuracy.</span></span><span> </span></li>\n<li><span><span>M</span><span>aintain</span><span> </span><span>data mod</span><span>els and the overall data estate codebase.</span></span><span> </span></li>\n<li><span><span>Daily </span><span>monitoring and </span><span>o</span><span>peration</span><span>s on </span><span>cloud data platforms (primarily Azure / Microsoft Fabric).</span></span><span> </span></li>\n<li><span><span>Monitor data processes, </span><span>pipelines, </span><span>troubleshoot issues, and support daily data operations.</span></span><span> </span></li>\n<li><span><span>Collaborate with engineers, analysts, and business stakeholders; support ad hoc data analysis requests.</span></span><span> </span></li>\n<li><span><span>Drive continuous improvement through training and self-development.</span></span><span> </span></li>\n<li><span><span>Any other </span><span>ad hoc</span><span> tasks that may be required by the business from time to time. </span></span><span> </span></li>\n</ul>\n<p><br><br></p>\n<p><span style=\"font-weight: bold\">TO DO IT, YOU WILL NEED:</span></p>\n<p><br><br></p>\n<ul>\n<li><span><span>A </span><span>Degree in IT, Computer Science, or </span><span>related fields</span><span>.</span></span><span> </span></li>\n<li><span><span>Proven experience as a Data Engineer including designing and building scalable ETL processes for batch and real-time data lakes / warehouses.</span></span><span> </span></li>\n<li><span><span>Hands-on experience with cloud data services</span><span>. Microsoft </span><span>Synapse</span><span> and Fabric </span><span>exp</span><span>erience is a plus</span><span>.</span></span><span> </span></li>\n<li><span><span>Strong SQL skills; experience with relational databases and complex queries.</span></span><span> </span></li>\n<li><span><span>Proficiency</span><span> with </span><span>compute</span><span> tools such as Databricks or </span><span>Jupyter</span><span>.</span></span><span> </span></li>\n<li><span><span>Experience orchestrating pipelines using ADF, Fabric Pipeline, Airflow, AWS Step Functions, or similar.</span></span><span> </span></li>\n<li><span><span>Coding </span><span>proficiency</span><span> in </span><span>PySpark</span><span>, Python, Scala, or equivalent languages.</span></span><span> </span></li>\n<li><span><span>Experience with CI/CD tooling: Git, Azure DevOps, </span><span>Jenkins</span><span> </span><span>or equivalent.</span></span><span> </span></li>\n<li><span><span>Familiarity with distributed systems (Kafka, Spark, Hive, Hadoop) and BI tools (</span><span>such as </span><span>Power BI) is an asset.</span></span><span> </span></li>\n<li><span><span>Comfortable delivering in a fast-paced, agile environment.</span></span><span> </span></li>\n<li><span><span>Strong analytical and problem-solving skills.</span></span><span> </span></li>\n<li><span><span>Excellent communication and team collaboration.</span></span><span> </span></li>\n<li><span><span>Self-motivated with a drive for continuous learning.</span></span><span> </span></li>\n</ul>",
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