Data Engineer - Manchester
<p><b>Salary: £50,000 - 50,000 per year</b></p>
<b>Requirements:</b>
<ul><li>Data Engineering related qualification and/or extensive Data Development experience in a commercial or Agile environment</li><li>Experience of AWS, Python, SQL, Git and PySpark</li><li>Desirable: SISS or SAS experience</li><li>Desirable: Quality Assurance and Test Automation experience</li><li>Desirable: Experience of Database technologies</li><li>Desirable: Experience in Financial Services organisation</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, develop and test quality data engineering solutions</li><li>Migrate and integrate data into the new ecosystem</li><li>Review and assure data engineering processes</li><li>Provide guidance to team members on design, build and test activities</li><li>Ensure adherence to standard driven code development</li><li>Deliver solutions that meet business needs in a timely manner</li><li>Take responsibility for testing solutions, including analysis of requirements and design of test cases & scripts</li><li>Prepare test data and create and execute tests to ensure effective and accurate deliverables</li></ul>
<b>Technologies:</b>
<ul><li>AWS</li><li>Git</li><li>Python</li><li>PySpark</li><li>SAS</li><li>SQL</li><li>Cloud</li><li>Support</li></ul>
<p><b>More:</b></p>
<p>We are excited to welcome a Data Engineer to our Data and Analytics Delivery department on a 12-month fixed term contract. Our mission is to transform data integration to fit our new ecosystem, and we are dedicated to delivering effective and high-quality engineering solutions. We operate with a team led hybrid approach in Coventry or Manchester, promoting flexibility in working patterns. We proudly offer a range of benefits, including 28 days holiday plus bank holidays, an annual discretionary bonus scheme, a personal pension with matched contributions, and life assurance. By joining us, you will become part of a purpose-led organization known for its ethical approach and commitment to equality and diversity.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>Data Engineering related qualification and/or extensive Data Development experience in a commercial or Agile environment</li><li>Experience of AWS, Python, SQL, Git and PySpark</li><li>Desirable: SISS or SAS experience</li><li>Desirable: Quality Assurance and Test Automation experience</li><li>Desirable: Experience of Database technologies</li><li>Desirable: Experience in Financial Services organisation</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, develop and test quality data engineering solutions</li><li>Migrate and integrate data into the new ecosystem</li><li>Review and assure data engineering processes</li><li>Provide guidance to team members on design, build and test activities</li><li>Ensure adherence to standard driven code development</li><li>Deliver solutions that meet business needs in a timely manner</li><li>Take responsibility for testing solutions, including analysis of requirements and design of test cases & scripts</li><li>Prepare test data and create and execute tests to ensure effective and accurate deliverables</li></ul>
<b>Technologies:</b>
<ul><li>AWS</li><li>Git</li><li>Python</li><li>PySpark</li><li>SAS</li><li>SQL</li><li>Cloud</li><li>Support</li></ul>
<p><b>More:</b></p>
<p>We are excited to welcome a Data Engineer to our Data and Analytics Delivery department on a 12-month fixed term contract. Our mission is to transform data integration to fit our new ecosystem, and we are dedicated to delivering effective and high-quality engineering solutions. We operate with a team led hybrid approach in Coventry or Manchester, promoting flexibility in working patterns. We proudly offer a range of benefits, including 28 days holiday plus bank holidays, an annual discretionary bonus scheme, a personal pension with matched contributions, and life assurance. By joining us, you will become part of a purpose-led organization known for its ethical approach and commitment to equality and diversity.</p>
<p>last updated 8 week of 2026</p>