Data Engineer - DV Cleared
<p><b>Salary: £50,000 - 50,000 per year</b></p>
<b>Requirements:</b>
<ul><li>A strong interest in data, particularly data engineering, data science, or machine learning.</li><li>A solid technical background, with experience in Java, Python, TypeScript, or similar languages.</li><li>Experience developing software using Test-Driven Development (TDD) or a strong willingness to adopt TDD practices.</li><li>Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams.</li><li>Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.</li><li>A proactive mindset with attention to detail and a commitment to quality.</li><li>Desirable: Experience working with cloud platforms, ideally AWS.</li><li>Desirable: A strong Linux background.</li><li>Desirable: Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools.</li><li>Desirable: Experience using Infrastructure as Code tools such as Terraform or CloudFormation.</li><li>Desirable: Previous experience working in a consultancy or public sector delivery environment.</li><li>Desirable: Familiarity with secure or regulated environments.</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads.</li><li>Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach.</li><li>Collaborate closely with data scientists to enable effective use of data for analytics and machine learning.</li><li>Build and operate cloud-based solutions, with a strong focus on AWS services.</li><li>Work with messaging, streaming, or data flow technologies to support real-time and batch data processing.</li><li>Contribute to infrastructure and platform automation using Infrastructure as Code.</li><li>Participate in agile ceremonies, technical design discussions, and code reviews.</li><li>Ensure solutions meet security, performance, and reliability requirements within public sector environments.</li></ul>
<b>Technologies:</b>
<ul><li>AWS</li><li>Cloud</li><li>Flow</li><li>Support</li><li>Java</li><li>Kafka</li><li>Linux</li><li>Machine Learning</li><li>Python</li><li>RabbitMQ</li><li>Security</li><li>TDD</li><li>Terraform</li><li>TypeScript</li></ul>
<p><b>More:</b></p>
<p>We are a people-focused digital consultancy supporting data-driven services across the UK public sector. Our organization values collaboration, inclusion, and work-life balance, actively supporting continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. We work closely with government departments and public sector organizations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and our hiring decisions are based solely on skills, experience, and potential.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>A strong interest in data, particularly data engineering, data science, or machine learning.</li><li>A solid technical background, with experience in Java, Python, TypeScript, or similar languages.</li><li>Experience developing software using Test-Driven Development (TDD) or a strong willingness to adopt TDD practices.</li><li>Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams.</li><li>Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.</li><li>A proactive mindset with attention to detail and a commitment to quality.</li><li>Desirable: Experience working with cloud platforms, ideally AWS.</li><li>Desirable: A strong Linux background.</li><li>Desirable: Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools.</li><li>Desirable: Experience using Infrastructure as Code tools such as Terraform or CloudFormation.</li><li>Desirable: Previous experience working in a consultancy or public sector delivery environment.</li><li>Desirable: Familiarity with secure or regulated environments.</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads.</li><li>Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach.</li><li>Collaborate closely with data scientists to enable effective use of data for analytics and machine learning.</li><li>Build and operate cloud-based solutions, with a strong focus on AWS services.</li><li>Work with messaging, streaming, or data flow technologies to support real-time and batch data processing.</li><li>Contribute to infrastructure and platform automation using Infrastructure as Code.</li><li>Participate in agile ceremonies, technical design discussions, and code reviews.</li><li>Ensure solutions meet security, performance, and reliability requirements within public sector environments.</li></ul>
<b>Technologies:</b>
<ul><li>AWS</li><li>Cloud</li><li>Flow</li><li>Support</li><li>Java</li><li>Kafka</li><li>Linux</li><li>Machine Learning</li><li>Python</li><li>RabbitMQ</li><li>Security</li><li>TDD</li><li>Terraform</li><li>TypeScript</li></ul>
<p><b>More:</b></p>
<p>We are a people-focused digital consultancy supporting data-driven services across the UK public sector. Our organization values collaboration, inclusion, and work-life balance, actively supporting continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. We work closely with government departments and public sector organizations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and our hiring decisions are based solely on skills, experience, and potential.</p>
<p>last updated 8 week of 2026</p>