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Principal Data Engineer

Job in Bristol, Bristol County, BS1, England, UK
Listing for: Made Tech
Full Time position
Listed on 2025-12-16
Job specializations:
  • IT/Tech
    Data Science Manager, Data Engineer, Data Analyst, Cloud Computing
Job Description & How to Apply Below

Principal Data Engineer

Made Tech – Bristol, England, United Kingdom

Overview

We are looking for a Principal Data Engineer who will lead complex client engagements across our portfolio of public sector clients, drive delivery excellence, and shape data strategy and architecture.

Key Responsibilities
  • Collaborate with clients to understand their needs, provide solution advice as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials.
  • Assess project performance as part of the billable delivery team, quality-ensure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members, providing direction to enable them to achieve engagement outcomes and develop their careers.
  • Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices, capturing and using engagement experience to improve standards and contribute to Made Tech knowledge.
  • Participate in business development activities, including bids and pre‑sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission.
  • Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues.
  • Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events.
Skills, Knowledge and Expertise Clients
  • Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user‑centric approach.
  • Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients.
  • Experience building trusted advisor relationships with senior client stakeholders within the public sector.
Leadership
  • Experience of building and leading high‑performing consulting teams and creating leveraged engagements to provide a cost‑effective, profitable, successful client‑facing delivery.
  • Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry.
  • Experience of managing third‑party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
Practice
  • Experience in delivering complex and difficult engagements that span multiple capabilities for user‑facing digital and data services in the public sector.
  • Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity.
  • Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
  • While this is not a hands‑on coding technical role, credibility in approach to digital, data and technology in the public sector is essential. Maintain a broad technical knowledge of modern data practices, shape data strategy and roadmaps, and hold others to account for technical quality.
  • Experience working directly with customers and users within a technology consultancy.
  • Expertise in shaping data strategy and approaches to quality, ethics and governance.
  • Experience in developing a data capability or function.
  • Combining data science, analytics and engineering.
  • Strong understanding of various architectures including data warehouses, data lakes, data lake houses and data mesh.
  • Strong understanding of best practice Data Ops and MLOps.
  • Up‑to‑date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop.
  • Strong understanding of agile ways of working.
  • Up‑to‑date understanding of various programming languages including Python, Scala, R and SQL.
  • Up‑to‑date understanding of various databases and cloud‑based data stores including SQL and No

    SQL.
  • Up‑to‑date understanding of cloud platforms including AWS and/or Azure and…
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