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# Senior Data Engineer, Technology Consulting- London, Leeds, Manchester or Newcastle

- **Company:** CRELIMUK Credera Limited
- **Location:** Newcastle upon Tyne, UK
- **Experience:** Expert
- **Salary:** £58,000.0 - £74,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Information Technology Consulting, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Security, Data Warehousing, Github, Python (Programming Language), Machine Learning, Power BI, Azure Machine Learning, SQL Databases, Tableau (Software), Circleci, GitHub Copilot, Delivery Pipeline, Large Language Models, Claude Code, Snowflake, Apache Spark, Generative AI, Agentic-AI, Cloudformation, SC Clearance, Data Lakes, AI Platforms, Qlikview, Data Management, Machine Learning Operations, Terraform, Data Pipelines, Jenkins, Databricks, Programming Languages
- **Published:** October 9, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5920320096

## About the Role

As an Engineer at Credera, you will spend most of your time on client work, with the remainder of your time spent working on internal projects as well as training and development. Consultancy to us is about customer delivery first, carried out by technically excellent people. Our aim is not to pigeon-hole but rather upskill our engineers so they can learn and expand their expertise, as well as deliver on a variety of business-critical client projects.

You are perceptive, personable, culturally sensitive and demonstrate a high degree of emotional intelligence. Being able to work collaboratively in a matrix organisation is essential, as is the ability to build data platforms using either cloud native products or commercial data analytics / data warehouse software.

You will have:

 - Accountable for leading multiple, complex areas of data engineering delivery to time, cost and quality with minimal direction
 - Experience effectively and inclusively managing teams to deliver agreed scope, acting as the key point of escalation for decisions that impact your area of work
 - Demonstrable experience of building data pipelines using Spark, Python or SQL
 - Experience working with AWS and its data and AI/ML services such as SageMaker
 - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake)
 - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads
 - Understanding of Data Security, Data Governance and responsible AI principles
 - The ability to partner with and influence senior stakeholders, building trust across the stakeholder landscape to drive the delivery of outcomes
 - A track record of anticipating the risk landscape across a project and standing up multi-functional teams of SMEs to analyse and resolve issues
 - Recognised as a subject matter expert who drives innovation and market-leading practices, bringing knowledge and experience from multiple clients and industries
 - Have a drive for self-improvement and learning, including learning new programming languages
 - Approach solving problems pragmatically, creating clarity and structure in ambiguous situations
 - Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications
 - Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior team members and client counterparts
 - You will be required to hold active SC clearance for this role.

Desirable skills

 - Experience of building automated data quality checks and metrics
 - Experience creating and/or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI etc.)
 - Experience building LLM or foundation-model applications using frameworks such as LangChain, vector databases or agentic AI approaches
 - Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services
 - Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik etc.)
 - Experience using AI or Agentic techniques in application of the role through GitHub CoPilot, Claude Code, or equivalent.