Top Data Jobs in Birmingham, UK

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

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 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 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.

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

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 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.

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, build, and maintain data pipelines and architectures, apply advanced analytics to generate client insights, develop BI dashboards, collaborate with stakeholders to solve data challenges, and support managed-services engagements while upholding technical and professional standards.

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 design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

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.

Collects and processes packaging, WEEE and batteries data using in-house software and Excel. Conducts site weighing and sample collection, liaises with suppliers, supports account managers with obligation calculations, cleans and maintains EPIC database, and communicates with clients while adhering to ISO and health and safety policies.

Lead data governance and quality initiatives across the Group, ensuring alignment with internal standards and regulatory frameworks (including BCBS239). Improve data capture, lineage and controls, perform data analysis and reporting, support compliance and Board/regulator reporting, mentor colleagues, and drive process simplification to enable better decision-making.

Produce and maintain management information, dashboards and ad hoc reports to monitor client KPIs and contract performance. Analyse data to identify trends, support contract mobilisation, recommend process improvements, promote system adoption (MCM/Total Mobile/ME3/MSP), and provide actionable insights to operational teams and stakeholders.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.

As a Senior Data Engineer, you'll design and develop data processing solutions, collaborate with architects, mentor team members, and ensure operational readiness in agile teams.

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.

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.

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 data management for a large mortgage data estate, set and own platform data strategy, bridge technology and business, represent Homes in central data forums, manage data risks and governance, ensure data quality during change, and drive data initiatives and stakeholder alignment to unlock business value.

Design, build and maintain Power BI reports and data models using star-schema principles. Develop ETL pipelines from SAP and databases, write and optimize SQL and DAX, implement data validation and governance, and support deployment/version control. Troubleshoot reporting issues and collaborate with stakeholders to translate business requirements into analytical solutions.

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.