Senior Data Engineer

Make a difference and advance your career by helping deliver some of the UK’s most important #tech4good projects, making the world a smarter, safer, greener, and healthier place.

You’ll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges.

At a certified Great Place to Work®, you’ll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations.

Founded in 1992, we are a successful, growing International digital transformation consultancy. We deliver multi-Queen’s Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable Environment and Land Asset Management, and Digital Democracy.

As a Senior Data Engineer at Informed Solutions, you’ll take a leading role in designing, building, and delivering robust data platforms and pipelines that underpin critical public sector services. Your work will enable better decision-making, improve service outcomes, and help create a healthier, safer, and more sustainable UK.

You’ll be part of a collaborative, high-performing team, taking ownership of end-to-end delivery on greenfield and transformation programmes while guiding and supporting colleagues to deliver high-quality data solutions. Working closely with Software Engineering, User-Centred Design, Data Science, Delivery Management, and Live Services, you’ll help shape enterprise-scale data platforms for high-profile clients, influencing technical direction and driving innovation.

As a technology-agnostic consultancy, we empower you to design the right data solutions for each challenge. With technologies spanning Python, SQL, cloud-native data services, streaming platforms, and modern data tooling across AWS, Azure and GCP, you’ll have opportunities to deepen your expertise, explore new approaches, and grow your career.

Role Responsibilities

This is a varied role that requires adaptability, ambition, and a proactive approach in a fast-paced, agile environment.

You will:

Own delivery of data services: Take responsibility for the engineering and delivery of small-to-medium data services (or major components of larger platforms) across the full lifecycle, from design and build through to deployment, operation, and continual improvement.

Lead on data architecture and design: Take ownership of the end-to-end design of data pipelines, data models, and platform components, producing and maintaining high-quality technical documentation. Collaborate with Lead and Principal Engineers, Data Architects, and practitioners from disciplines such as UCD and Data Science to review and refine designs and translate them into robust implementations.

Build and operate data pipelines: design, develop, test, and deploy ETL pipelines to source, cleanse, and optimise data at scale.

Automate and orchestrate data workflows: Develop and maintain orchestration solutions (e.g. Apache Airflow), implementing testing, alerting, monitoring, and data quality checks as first-class concerns.

Ensure data quality and observability: Embed data testing and validation processes alongside monitoring and alerting systems such as Prometheus and Grafana to ensure reliability, performance, and operational insight across data services.

Work with metadata and standards: Implement metadata capture and validation within data pipelines, including working with geospatial metadata standards where relevant, to support governance, discovery, and reuse.

Support delivery planning: Partner with Delivery Managers to plan and structure technical activities, provide accurate and commercially sound estimates, and proactively identify and mitigate technical risks, issues, and dependencies.

Build stakeholder trust: Act as a trusted technical advisor to client counterparts, partner organisations, and third parties, ensuring alignment between data requirements, business needs, and technical delivery.

Mentor and develop others: Provide guidance and technical leadership to Data Engineers and adjacent roles, supporting professional growth and fostering a culture of high-quality, sustainable delivery.