Top Data Engineer Jobs in Manchester

Lead the modernization of legacy SQL Server reporting systems into scalable Google Cloud architectures. Design and maintain BigQuery and Dataform pipelines, build resilient ETL and ELT workflows, implement data-quality controls and observability, and improve reporting architectures. Lead technical designs and delivery planning, reduce technical debt, collaborate with stakeholders, and mentor engineers while promoting testing, CI/CD, documentation, and AI-assisted development practices.

Build and maintain regulatory reporting systems using SQL Server and GCP BigQuery. Develop automated ETL and ELT pipelines, migrate legacy solutions to cloud-native platforms, and implement data modelling, validation, monitoring, alerting, and QA. Collaborate with technical leads, participate in code reviews, document processes, and use infrastructure as code, CI/CD, version control, and AI-assisted development to improve reporting accuracy, traceability, performance, and delivery efficiency.

Build and maintain optimized data pipelines, SQL-first transformation workflows, data marts, and supporting data infrastructure. Translate business requirements into reliable data models and solutions while ensuring data accuracy, consistency, and usability. Responsibilities include ETL development, dimensional data modeling, query optimization, stakeholder collaboration, automation, documentation, and maintaining data pipelines for analytics and business decision-making.

Lead the design and implementation of a scalable Snowflake data platform, establishing enterprise data governance, ingestion, transformation, and democratization standards. Optimize ELT pipelines, support advanced analytics and AI adoption, evolve infrastructure-as-code, and ensure compliance with security and privacy policies. Collaborate with stakeholders and Agile teams throughout the secure development lifecycle while evaluating emerging data technologies.

Develop and maintain GCP-based data lake and warehouse infrastructure, including BigQuery, BigLake, Analytics Hub, and GCS. Build robust data loading processes, complex SQL transformations, and departmental standards. Collaborate across teams to improve data platform performance, document technical processes, and apply AI in production workflows.

Lead the technical direction of data engineering across client engagements. Design migration frameworks, streaming architectures, Lakehouse platforms, data integrity systems, and regulatory reporting pipelines. Provide architectural authority, review technical designs, select cloud services, mentor senior engineers, develop reusable delivery patterns, support hiring, and represent the consultancy externally. Shape proposals, scope technical engagements, present to senior stakeholders, and identify opportunities with existing clients.

Build and maintain customer-domain data pipelines, write documented Python and SQL, monitor and resolve pipeline issues, and support data quality validation. Collaborate with data engineers and analytics teams while developing expertise in CRM, acquisition, identity, and marketing data flows. The role offers increasing responsibility and development opportunities. Experience with GCP, BigQuery, customer or marketing data, Git, and orchestration tools is desirable.

Build the companys first data stack and data products (internal analytics and customer-facing). Work across data engineering, devops, and software tasks; ship early features, improve developer experience, document proposals, and iterate based on feedback.

Build and enhance core data platform infrastructure and services supporting real-time streaming, cloud databases, distributed storage, system integration, release automation, and developer tooling. Develop scalable, low-latency solutions using Golang, Kafka, Flink, GCP, Spanner, and BigQuery. Support testing, monitoring, performance validation, quality assurance, and continuous platform improvement in a high-volume environment.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Develop and maintain data pipelines, models, ETL workflows, validation processes, and interfaces for defence modelling and simulation data. Transform complex simulation outputs into reliable datasets for experimentation, analysis, visualisation, and capability assessment. Collaborate with modelling and simulation engineers, software engineers, analysts, and domain specialists. The role requires Python, SQL, data-quality practices, and the ability to work in offline or restricted environments supporting UK Ministry of Defence projects.

Develop and maintain data pipelines, models, ETL workflows, and validation processes for defence modelling and simulation data. Integrate simulation and analytical environments, automate repeatable processing, and make complex datasets accessible for experimentation, analysis, and visualisation. The role requires Python, SQL, data modelling, and experience working in offline or restricted environments, supporting UK Ministry of Defence projects.

Designs and maintains secure, scalable data pipelines for defence, government, and national security customers. Responsibilities include ETL development, data profiling, modelling, quality controls, governance, anonymisation, cloud storage, workflow optimisation, and support for analytics and visualisation. The role also contributes to data engineering strategy, standards, research, and stakeholder presentations across the full project lifecycle.

Build and maintain scalable cloud-based data pipelines and integrations using Snowflake, SQL, Python, dbt, and Windmill. Develop ELT processes, data models, API integrations, and automated workflows supporting regulatory reporting, business intelligence, and operational needs. Ensure data quality, testing, monitoring, documentation, and reliable deployments through GitHub and CI/CD. Collaborate with technical and business stakeholders while contributing to the evolution of the bank’s modern data platform.

Provide technical leadership for Data Processing and Control Systems requirements engineering across the SMR lifecycle. Responsibilities include stakeholder elicitation, requirements decomposition and allocation, traceability, verification planning, configuration control, interface management, supplier deliverable review, and requirements quality assurance. The role supports regulated nuclear engineering activities and requires collaboration across plant, safety, architecture, cyber security, equipment, software, and supplier teams.

Lead electrical engineering delivery for data centre projects, including design, technical studies, specifications, cost control, reporting, client presentations, coordination, site inspections, and construction administration. Manage multidisciplinary teams, liaise with clients and contractors, mentor engineers, support proposals, and ensure compliance with applicable standards and RIBA project stages. Occasional regional and international travel is required.

Leads mechanical engineering delivery for complex data centre projects across multidisciplinary and international teams. Provides technical leadership, construction administration, project management, permitting and regulatory expertise, and contributes to AECOM’s data centre thought leadership and strategic growth. The role requires collaboration with technology clients, management of multiple projects, and oversight of design and construction methodologies within a hybrid working model.

Own the data platform end to end, including sourcing, ingestion, modelling, high-volume ETL pipelines, Kubernetes infrastructure, deployment tooling, and data governance. Establish engineering standards, improve performance, reliability, and cost efficiency, and advise teams on data availability and meaning. The role requires strong Python and SQL experience, GCP production experience, container and Kubernetes expertise, AI-native workflows, and clear technical communication.

Senior Electrical Engineer responsible for delivering and coordinating electrical designs for data centre and industrial facility projects. Duties include managing electrical delivery, contributing technical expertise, producing designs and feasibility reports, presenting solutions, supporting proposals, attending coordination and site meetings, and liaising with clients, contractors, suppliers, and consultants. The role requires data centre design experience, professional accreditation progress, software proficiency, site inspection capability, and occasional regional and international travel.

Design and build scalable cloud-native data platforms, batch and streaming pipelines, data lakes, and integrated data services. Support analytics and AI/ML workloads while implementing DevSecOps, infrastructure as code, and reliability improvements. Collaborate with data scientists, engineers, architects, consultants, and clients to solve complex data challenges and translate requirements into technical solutions. The role supports Defence, Government, and National Security projects and requires high-level security clearance and on-site work three to four days weekly.

The position involves overseeing mechanical design for data centre projects, leading teams, managing client relationships, and mentoring junior engineers. The role focuses on ensuring energy efficiency and project success.

Build, maintain, and release reliable cloud software for the Customer Data Platform. Lead complex feature delivery, make architectural decisions, improve code quality, testing, observability, security, and operational reliability. Collaborate with Product, Design, and adjacent engineering teams, participate in on-call support, contribute to planning and OKRs, and mentor engineers through pairing, reviews, and technical guidance.

Develop and maintain data ingestion, modelling, quality processes, and end-to-end data pipelines. Build Power BI dashboards and paginated reports, validate data integrity, resolve data issues, and translate business requirements into scalable reporting solutions. Support stakeholders as a data subject matter expert while improving data accessibility, visibility, and team capability during the firm's enterprise data transformation.

As a Data Platform Engineer, you will design, build, and maintain Azure and Snowflake data platforms, develop Infrastructure-as-Code, and support CI/CD processes while troubleshooting and improving the platform.

Develop and optimize Supabase’s Data API based on PostgREST. Responsibilities include improving the PostgreSQL driver and performance, developing features, fixing bugs, resolving incidents and escalated support issues, improving observability, and debugging integrations across the Supabase platform. The role requires strong Haskell development, PostgreSQL and SQL expertise, Linux debugging, open-source contribution, and technical user support.