Lead Data Engineer
<p><b>Salary: £100,000 - 100,000 per year</b></p>
<b>Requirements:</b>
<ul><li>Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow)</li><li>Strong programming skills in Python, SQL, and Java for data engineering tasks</li><li>Experience designing reliable, maintainable, and high-performance data pipelines and architectures</li><li>Broad understanding of data warehousing, data lakes, and lakehouse architectures</li><li>Familiarity with business intelligence and data visualisation tools</li><li>Excellent analytical thinking, attention to detail, and problem-solving skills</li><li>Strong collaboration and communication skills, able to work with both technical and non-technical stakeholders</li><li>Comfortable with complexity, ambiguity, and working independently or as part of a team in a fast-paced environment</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives</li><li>Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions</li><li>Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt)</li><li>Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability</li><li>Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight</li><li>Apply best practices in data governance, data quality, and performance optimisation</li><li>Operate in an agile environment, contributing to technical discussions and problem-solving initiatives</li></ul>
<b>Technologies:</b>
<ul><li>Airflow</li><li>AWS</li><li>Redshift</li><li>Azure</li><li>BigQuery</li><li>Business Intelligence</li><li>Cloud</li><li>ETL</li><li>Support</li><li>Java</li><li>Python</li><li>SQL</li><li>Spark</li><li>Tableau</li><li>dbt</li></ul>
<p><b>More:</b></p>
<p>We are excited to offer a Lead Data Engineer position in Leeds, where you will have the chance to work on challenging projects and contribute to delivering scalable, high-quality data solutions for a leading client in the technology sector. With a salary of up to £80,000 per annum and opportunities for professional growth, we provide access to cutting-edge cloud data technologies. We welcome applications from all suitably qualified persons, fostering an inclusive environment.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow)</li><li>Strong programming skills in Python, SQL, and Java for data engineering tasks</li><li>Experience designing reliable, maintainable, and high-performance data pipelines and architectures</li><li>Broad understanding of data warehousing, data lakes, and lakehouse architectures</li><li>Familiarity with business intelligence and data visualisation tools</li><li>Excellent analytical thinking, attention to detail, and problem-solving skills</li><li>Strong collaboration and communication skills, able to work with both technical and non-technical stakeholders</li><li>Comfortable with complexity, ambiguity, and working independently or as part of a team in a fast-paced environment</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives</li><li>Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions</li><li>Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt)</li><li>Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability</li><li>Develop, maintain, and enhance reporting and analytics capabilities through tools such as PowerBI, Tableau, or QuickSight</li><li>Apply best practices in data governance, data quality, and performance optimisation</li><li>Operate in an agile environment, contributing to technical discussions and problem-solving initiatives</li></ul>
<b>Technologies:</b>
<ul><li>Airflow</li><li>AWS</li><li>Redshift</li><li>Azure</li><li>BigQuery</li><li>Business Intelligence</li><li>Cloud</li><li>ETL</li><li>Support</li><li>Java</li><li>Python</li><li>SQL</li><li>Spark</li><li>Tableau</li><li>dbt</li></ul>
<p><b>More:</b></p>
<p>We are excited to offer a Lead Data Engineer position in Leeds, where you will have the chance to work on challenging projects and contribute to delivering scalable, high-quality data solutions for a leading client in the technology sector. With a salary of up to £80,000 per annum and opportunities for professional growth, we provide access to cutting-edge cloud data technologies. We welcome applications from all suitably qualified persons, fostering an inclusive environment.</p>
<p>last updated 8 week of 2026</p>