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About the Role

As a Data Engineer at UBDS, you will work as part of multidisciplinary teams alongside clients, designers, analysts and engineers to deliver modern data solutions. You will contribute to the design and build of data pipelines, models and analytics products, learning from experienced colleagues and applying best practices. This is a hands-on role where you will develop your technical skills, collaborate closely with others, and gain experience delivering solutions that operate in real-world environments.

Responsibilities

• Translate business problems into data, analytical and technical tasks with support from senior colleagues.
• Design, build and maintain data pipelines, models and products using SQL, Python and modern data engineering tools.
• Work with data warehouses, lakehouse platforms and event-driven patterns, including building semantic models for analytics and visualisation.
• Contribute to solutions built on cloud data and AI platforms (AWS/Azure), following good software engineering, testing and CI/CD practices.
• Apply analytics, experimentation, AI/ML integration, governance, security and data quality practices as part of delivery teams.
• Create clear data visualisations and explanations that help users understand and act on insights.
• Work closely with users and stakeholders in Agile, client-driven environments, learning from live services and user feedback.
• Follow relevant industry and government standards and contribute to solutions that are well documented, maintainable and easy to hand over.

Requirements

• Experience translating business questions into data or analytical requirements, with guidance where needed.
• Good SQL and Python skills for data modelling, transformation, automation and analysis.
• Experience working with data models in data warehouses, lakehouse environments or analytics tools such as Power BI.
• Familiarity with modern data engineering frameworks and tools (e.g. Spark / PySpark, Pandas, orchestration tools).
• Experience working with cloud data platforms on AWS or Azure (e.g. Databricks, Redshift, Microsoft Fabric).
• Understanding of software engineering fundamentals, including Git, testing, CI/CD and modular design.
• Basic analytics and statistical understanding, including metrics and simple experimentation.
• Awareness of AI/ML concepts, such as using model APIs or prompts, with a desire to build experience in this area.
• Understanding of data governance, security and quality concepts, including access control and GDPR considerations.
• Experience communicating insights through data visualisation using tools like Power BI, Tableau or Python charts.
• A user-focused approach and curiosity about who will use the solution and why it matters.
• Ability to communicate clearly and work collaboratively in client-driven, sometimes ambiguous environments.
• Willingness to contribute to clear slides and written materials with support and guidance.
• A logical, thoughtful approach to problem solving and delivery.
• Experience contributing to production systems or live services, with an interest in learning from user feedback.
• Attention to detail in code, documentation and naming conventions.
• A product mindset, with experience working in Agile teams delivering features and outcomes iteratively.
• Awareness of industry and government standards, and an openness to learning and applying them in delivery.

Skills

• SQL
• Python
• Data Modelling
• Data Transformation
• Automation
• Analysis
• Data Warehousing
• Lakehouse Environments
• Power BI
• Spark / PySpark
• Pandas
• Orchestration Tools
• AWS
• Azure
• Databricks
• Redshift
• Microsoft Fabric
• Git
• Testing
• CI/CD
• Modular Design
• Analytics
• Statistical Understanding
• Experimentation
• AI/ML Concepts
• Model APIs
• Prompts
• Data Governance
• Data Security
• Data Quality
• Access Control
• GDPR
• Data Visualisation
• Tableau
• Agile Methodologies

Benefits

• Training opportunities for personal development (technical, business acumen, methodologies).
• Private medical cover for employee and spouse/partner via Vitality.
• Discretionary bonus based on personal and company performance.
• 25 Days holiday plus 1 day for Birthday and 1 day for work anniversary, in addition to UK bank holidays.
• Electric Vehicle leasing with salary sacrifice.
• Contributed Pension Scheme.
• Death in service cover.

About the Company

• UBDS Group helps organisations deliver meaningful digital transformations through modern technology solutions.
• We work with clients across the public and private sector to design and build products, platforms and services that genuinely make a difference to users.
• Professionals choose to grow their careers at UBDS Group for its reputation as a dynamic and forward-thinking organisation that is deeply committed to both innovation and employee development.
• At UBDS Group, employees are given unique opportunities to work on cutting-edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth.
• The Group’s culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain certifications that enhance their skills and marketability.
• UBDS Group fosters a collaborative environment where creativity and innovation are encouraged, allowing employees to contribute ideas and solutions that have a tangible impact on the company and its clients.
• At UBDS Group our mission is to support entrepreneurs who are setting new standards with technology solutions across cloud services, cybersecurity, data and AI, ensuring that every investment advances our commitment to innovation, making a difference, and creating impactful solutions for organisations and society.

Equal Opportunity

• We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.