Top Data Engineer Jobs in Manchester

Build, migrate, and maintain regulatory reporting systems on GCP/BigQuery. Develop automated batch and near-real-time ETL/ELT pipelines, support migration from on-prem SQL Server, implement validation/monitoring, contribute to architecture and data modelling, leverage AI tooling for automation, participate in code reviews, QA, and documentation to ensure accurate, timely regulatory submissions.

Build, optimise and stabilise AWS data pipelines during a migration. Fix technical debt, work with the Architect, collaborate with the client engineering team, transfer knowledge and deliver a production-ready platform.

The Data Engineer will build robust data pipelines, manage data ingestion processes, optimize performance, and collaborate with teams to ensure data reliability in a financial services context.

Design, build, maintain and evolve cloud-based data platform and ELT pipelines. Collaborate with stakeholders, implement data models and replication, ensure data quality, governance, documentation, and introduce new tooling.

Build and operate distributed ingestion and processing pipelines, ensure reliability and performance, define data contracts, add observability and testing, improve platform reliability and CI/CD, and participate in design/code reviews and incident retrospectives.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

Build and improve data pipelines that ingest, normalize, and distribute European power market data. Enhance APIs, monitoring, alerting, and performance; collaborate with data scientists and market experts to expand coverage and develop new product features.

Build and maintain large-scale batch and streaming data pipelines and analytics infrastructure for Roku's CTV advertising auction platform. Deliver high-quality datasets for advertiser and publisher analytics, support experimentation and auction simulation, implement data quality and observability, and partner with product, analytics, and data science teams to model data for marketplace optimization and reporting.

Build and maintain domain-aligned ETL pipelines into BigQuery, migrate on-prem SQL Server pipelines to cloud, apply version control, consolidate domain datasets, identify data quality issues, and collaborate with analytics and data science teams under senior engineers' guidance.

Build and maintain BigQuery data models and Python data pipelines using Dataform and Airflow. Implement data quality checks, observability, and CI/CD; containerize workloads with Docker; support Data Science productionization and contribute to Looker reporting.

Build, optimise and stabilise AWS-based data pipelines (S3, Glue, Redshift, Lake Formation). Resolve technical debt, support the Architect on target-state design, collaborate with client engineering teams to transfer knowledge, and deliver production-ready platforms in regulated, high-volume gaming environments.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

Build and maintain cloud data pipelines and models, improve data quality, governance and observability, support self-service analytics, partner with Finance and Tech to deliver scalable, secure data solutions and contribute to platform architecture and engineering standards.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

The Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

As a Senior Data Platform Engineer, you will design and operate a scalable data platform, support analytics, mentor junior engineers, and drive technical excellence.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

The Senior Data Engineer will design and implement data pipelines for fraud prevention, collaborate with teams, and ensure high quality code while participating in agile methodologies.

Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.

The Data Engineer will design and deploy production data pipelines, connect structured and unstructured data on AWS and collaborate with various teams to solve client problems.

Hands-on Lead Data Engineer responsible for migrating and stabilising an AWS-based data platform. Build, optimise and fix data pipelines, map report logic (SSRS), drive AI-assisted extraction of business logic, resolve technical debt, and collaborate with client engineers to transfer knowledge and hit delivery milestones.

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.