Top Data Engineer Jobs in Manchester

Design, build and maintain scalable data pipelines and Airflow orchestration; deliver Databricks-based data engineering solutions; collaborate via GitHub, support data science workflows, and promote observable, maintainable production delivery.

The Data QA Engineer will create and execute test strategies for data pipelines, track defects, and collaborate with data engineering teams to assure quality in data products.

The Principal Mechanical Engineer will lead data centre projects, manage multi-disciplinary teams, and contribute to strategic growth in the Technology and Data Centre sector.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

Design, build and maintain scalable, automated cloud data solutions and pipelines. Provide technical leadership to a small engineering squad, own complex backlog tasks, develop data frameworks and standards, and ensure code quality via reviews and pair programming using Databricks, Python, SQL and Spark.

Design and maintain reliable data solutions, lead a squad of engineers, develop scalable data pipelines, and ensure adherence to data standards.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

Deliver and migrate production ML data pipelines from Databricks to an AWS SageMaker MLOps platform. Build feature engineering pipelines and feature store integrations, ensure parity/testing with Databricks outputs, manage storage/permissions/IAM, deploy via CI/CD and IaC, document runbooks, and collaborate with engineering, AWS ProServe, and client teams in a regulated iGaming environment.

Design, develop and maintain management reports, dashboards and visualisations (Tableau/Power BI). Automate reporting pipelines, perform data cleansing and EDA, gather business requirements, manage templates and controls, and engage stakeholders to deliver timely, accurate insights that drive decision-making.

The Software Engineer will collect audio data, manage the ingestion pipeline on GCP, collaborate with scientists, and develop data strategies for AI models.

Design, develop, and maintain ELT/ETL Snowflake data warehouse solutions; implement data standards, CI/CD, monitoring, and production support; collaborate with product, business, and vendors; mentor junior developers and improve data engineering practices.

As a Senior Data Engineer, you'll design and build scalable data processing systems, develop robust data solutions, and maintain data quality standards while influencing architecture and product roadmaps.

Client-facing Principal Data Engineer leading design and delivery of enterprise Databricks-based data platforms. Provide architecture leadership, mentor engineering teams, drive platform optimisation, define standards, support technical governance, and deliver across multiple consultancy engagements.

Design, build, and optimise scalable data pipelines and tables to support analytics, reporting and monitoring. Define and standardise business metrics, implement medallion-style architecture with clear lineage and governance, ensure data quality, and enable self-serve analytics using SQL, Python/PySpark and workflow schedulers.

Support ledger migration and data lake cleanup by extracting, transforming, reconciling and validating large datasets. Develop and validate SQL queries, batch jobs and processing logic, perform regression testing, document mappings and validation rules, and collaborate with engineering, product and business teams to ensure production readiness and post-migration validation.

Lead design, build, and operate high-quality cloud software for the Customer Data Platform. Own technical delivery end-to-end, mentor engineers, support on-call, improve observability, testing, security, and collaborate with Product, Design and adjacent teams to deliver scalable solutions.

Lead design, build, test, and operate cloud-based services for the Customer Data Platform. Deliver complex features end-to-end, improve code quality, support on-call operations, mentor engineers, collaborate with Product/Design, and drive reliability, observability, and secure engineering practices.

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.

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.

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.

Lead design, development, and operation of real-time and batch data pipelines and cloud infrastructure. Improve reliability, observability, and data architecture; own features end-to-end and mentor engineering teams while coordinating cross-team stakeholders.

Develop stored procedures or notebooks to build 230 additional data items into DCoE tables/views. Create an extensible, config-driven process to add fields with minimal re-engineering. Produce self-documenting, well-commented code and collaborate with the DCoE team on delivery; DCoE handles business analysis, design sign-offs, data modeling, and testing.

Own and operate Databricks-based data platform production support, build and migrate ETL/ELT pipelines to Databricks across Azure/AWS, optimize compute and performance, enforce Delta Lake architecture and data security, implement observability and CI/CD, support multi-tenant onboarding and on-call incident response, and maintain runbooks and SLA metrics.

As a Senior Data Engineer, you will manage complex data projects, lead small teams, and work with clients on data engineering solutions. Responsibilities include ETL development, data pipeline orchestration, and customer relationship management.