National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Principal Data Engineer, Consulting

Anson McCade
Manchester
1 day ago
Create job alert

Principal Data Engineer – Consulting | £90K–£105K | London / Leeds / Bristol


Our client, a global leader in digital transformation consulting, is hiring aPrincipal Data Engineerto lead the design and delivery of advanced cloud-native data solutions. Based inLondon, Leeds, or Bristol, this is an opportunity to work on greenfield projects that solve complex data challenges across enterprise environments.


💼Salary: £90,000 – £105,000

📍Location: London, Leeds, or Bristol

  • Hybrid (2 days per week in office)

🛡️Must be eligible for SC (Security Check) clearance


🧠 The Role

As aPrincipal Data Engineer, you’ll architect and implement data platforms using cutting-edge AWS services. Working within a multidisciplinary consulting team, you’ll collaborate directly with clients to shape strategy, drive delivery, and guide internal engineering standards.


Your responsibilities:

  • Build and maintain large-scale data lakes and ETL pipelines usingAWS S3, Redshift, Glue, Lambda, DynamoDB, and Matillion
  • Translate client requirements into scalable and secure data architectures
  • Drive infrastructure-as-code and CI/CD deployment practices
  • Process structured and semi-structured data (JSON, XML, Parquet, CSV)
  • Maintain metadata, build data dictionaries, and ensure governance is embedded by design
  • Work across industries in fast-paced, high-value engagements


ThisPrincipal Data Engineerwill bring:

  • Extensive experience withETL/ELT pipelinesand data transformation patterns
  • Proficiency inAWS cloud services, particularlyRedshift, Glue, Matillion, and S3
  • Strong command of data quality, data lineage, and metadata practices
  • Fluency in database technologies (both relational and NoSQL)
  • Experience with Linux environments and data visualisation tools (e.g.Tableau, QuickSight, Looker)


Bonus points for:

  • Familiarity withHadoop, Spark, or MapReduce
  • Exposure todata APIsand microservice-based architectures
  • AWS certifications (Solutions Architect Associate, Big Data Specialty)
  • Experience or interest inmachine learning data pipelines


🚀 Why Join?

As aPrincipal Data Engineer, you’ll:

  • Lead the architecture of cloud-first data ecosystems for top-tier clients
  • Be part of a supportive, knowledge-sharing engineering team
  • Enjoy hands-on influence across the full data lifecycle—from ingestion to insight
  • Contribute to transformative programs in sectors such as financial services, retail, and government
  • Access a clear path to leadership and continuous learning across cloud and consulting domains


Ready to lead next-generation data platforms?

If you’re eligible forSC clearance, and want to work at the intersection of cloud, data, and strategy—thisPrincipal Data Engineerrole is your next step.


Apply today and build what’s next.

Related Jobs

View all jobs

Principal Data Engineer

Head of Data Engineering

Principal Data Engineer

Principal Engineer

Principal Data Engineer

Principal Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.