Top Data Jobs in Birmingham, UK

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 data management for the Homes Platform, bridging data, technology, and business to enhance data governance and strategy. Responsible for influencing enterprise standards and driving data initiatives.

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.

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 Lead Data Analyst, you'll match data insights to needs, lead projects, facilitate workshops, and coach team members while advising stakeholders on data solutions.

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 Data Analyst supports infrastructure projects by analyzing data, developing algorithms, and designing data models to enhance project efficiency and decision-making.

The Senior Data Analyst will provide analytical leadership, deliver insights, support cloud transformation, and mentor junior analysts while engaging stakeholders across the business.

As a Data Engineer, you will develop and maintain data systems, automate data pipelines, collaborate with stakeholders, and ensure data governance compliance.

The Data Analyst will design and deploy Power BI dashboards, develop data models, and optimize ETL processes while ensuring data accuracy and governance.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

Design and build data ingestion and transformation pipelines, optimize ETL processes, and develop AI/ML models while ensuring data security and governance.