Data Engineer
<p><b>Salary: £84,800 - 84,800 per year</b></p>
<b>Requirements:</b>
<ul><li>We are looking for a Data Engineer who thrives in problem-solving and analytical thinking. You should enjoy collaborating with multiple stakeholders in a fast-paced environment. You must have experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, and SQL. Additionally, experience performing tasks such as writing scripts, extracting data using APIs, and writing SQL queries is essential. We also require experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.</li></ul>
<b>Responsibilities:</b>
<ul><li>In this role, you will work with our tech stack, focusing heavily on AWS, as it is a significant growth area for us. You will design and build ETL pipelines, data warehouses, and data lakes, ensuring smooth data movement and processing. You'll leverage AWS data and analytics services, or their open-source equivalents, such as EMR, Glue, RedShift, Kinesis, Lambda, and DynamoDB, to enhance our data capabilities.</li></ul>
<b>Technologies:</b>
<ul><li>AWS</li><li>Big Data</li><li>Cloud</li><li>ETL</li><li>Java</li><li>Python</li><li>SQL</li><li>Scala</li><li>Spark</li><li>Data Warehouse</li></ul>
<p><b>More:</b></p>
<p>We are excited to expand our team's capabilities with a skilled Data Engineer who can help us drive our data initiatives forward. If you are passionate about working with cloud technologies and are eager to face new challenges in a dynamic environment, we would love to hear from you.</p>
<p>last updated 12 week of 2026</p>
<b>Requirements:</b>
<ul><li>We are looking for a Data Engineer who thrives in problem-solving and analytical thinking. You should enjoy collaborating with multiple stakeholders in a fast-paced environment. You must have experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, and SQL. Additionally, experience performing tasks such as writing scripts, extracting data using APIs, and writing SQL queries is essential. We also require experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.</li></ul>
<b>Responsibilities:</b>
<ul><li>In this role, you will work with our tech stack, focusing heavily on AWS, as it is a significant growth area for us. You will design and build ETL pipelines, data warehouses, and data lakes, ensuring smooth data movement and processing. You'll leverage AWS data and analytics services, or their open-source equivalents, such as EMR, Glue, RedShift, Kinesis, Lambda, and DynamoDB, to enhance our data capabilities.</li></ul>
<b>Technologies:</b>
<ul><li>AWS</li><li>Big Data</li><li>Cloud</li><li>ETL</li><li>Java</li><li>Python</li><li>SQL</li><li>Scala</li><li>Spark</li><li>Data Warehouse</li></ul>
<p><b>More:</b></p>
<p>We are excited to expand our team's capabilities with a skilled Data Engineer who can help us drive our data initiatives forward. If you are passionate about working with cloud technologies and are eager to face new challenges in a dynamic environment, we would love to hear from you.</p>
<p>last updated 12 week of 2026</p>