Top Data Jobs in Birmingham, UK

Deliver data engineering and ETL solutions to support client analytics. Build and maintain data pipelines, optimize SQL, design data architecture (star/snowflake models), create BI reports/dashboards, improve data quality, and support client engagements in regulated environments while learning and growing technical and client-facing skills.

Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, use Databricks, Airflow, and Hadoop, and collaborate with clients to deliver actionable insights.

Senior Data Engineer on PwC's Managed Data, Analytics & Insights team to design, build and manage advanced data ecosystems. Responsibilities include designing data solutions and scalable pipelines, solving complex problems, mentoring junior staff, maintaining high delivery standards, and building client relationships while aligning solutions to business context.

Lead data-driven strategies and analytics at PwC, motivating teams to improve business performance and decision-making through advanced techniques and collaboration.

As a Manager in Data Governance at PwC, you will lead data governance strategies, supervise teams, manage client accounts, analyze data for decision-making, and ensure compliance with standards.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

As a Senior Manager in Data and Analytics Engineering at PwC, you'll design data architecture strategies for healthcare, mentor teams, influence stakeholders, and enhance healthcare operations through data solutions.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.

The Lead Data Engineer is responsible for developing and maintaining data pipelines, ensuring data quality, and working within multi-disciplinary teams to deliver data platforms in an agile environment.

Design, build and automate scalable data models, pipelines and tooling using Python and SQL to support BPA onboarding and administration. Analyse and transform DB pensions data, perform mapping and migrations, implement validation, reconciliation and governance, and collaborate with actuarial, operations and transformation teams to embed best practice and support strategic data programmes.

Lead assessment of Turnitin's reporting and analytics landscape, define target-state enterprise data architecture and governance, establish metric standards and ownership, recommend operating model and roadmap, and align executive and business stakeholders to enable trusted, scalable decision-ready reporting.

Maintain and quality-assure third-party and internal leasing market data for UK Industrial & Logistics. Coordinate with agents, agencies, landlords and internal teams to capture, update and validate available space and transaction records, support research output, and use data collection tooling to ensure accurate market insights.

As a Data Architect at Kainos, you will provide guidance on data architecture, manage a small team, ensure data solutions fit client needs, and engage with stakeholders. You will also lead technical projects and support junior staff development.

The e-Data Services Analyst provides technical support for eDiscovery, manages data acquisition, processes electronic materials, and assists legal teams using various industry tools and protocols.

Lead a team building and maintaining scalable Qlik Talend ETL pipelines, ensuring data quality and availability. Oversee pipeline development, GitHub source control, automated validation, API integration, Java-based transformations, and stakeholder liaison to meet customer and business requirements.

Lead digital transformation and continuous improvement across Group Engineering using Microsoft Power Platform. Develop Power BI reports and Power Apps/Automate solutions, support engineering systems (FleetWave, D365, telematics), deliver asset and fleet analytics, drive automation and data governance, and collaborate with cross-functional teams to improve processes and project tracking.

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.

Prepare, cleanse and collate international environmental compliance data (packaging, WEEE, batteries, textiles). Use in-house EPIC system and Excel to format, validate and submit data per country regulations, perform trend and swing analyses, support account managers, and improve automation and processes to ensure regulatory compliance and accurate reporting.

Validate and verify EPR compliance data, perform sign-offs, identify and correct discrepancies, assess data quality, recommend and implement process improvements, track metrics, collaborate with IT and cross-functional teams, and stay current with regulatory changes.

Validate and verify EPR compliance data, perform sign-offs, identify and correct discrepancies, assess data quality and risks, recommend and implement process improvements, train and support cross-functional teams, and ensure adherence to evolving EPR regulations.

Design, build, and maintain hybrid on‑premises and Azure data infrastructure and pipelines (streaming and batch). Automate workflows with Azure Data Factory, manage event streaming (Kafka, NATS), implement security controls (Keycloak), and develop high‑performance PostgreSQL and Elasticsearch solutions to support analytics and data-driven decision making.