Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Data Engineer

Anson McCade
London
5 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer – AWS

Location:London (Hybrid/Flexible) - Other UK Locations available

Salary:£95,000 - £105,000 + Bonus


A leading consultancy is hiring for aPrincipal Data Engineerto join their fast-growing data team, delivering cloud-native data platforms for high-profile clients across sectors.


This role will focus on designing and implementing end-to-end data solutions using modern AWS tooling. It suits someone who thrives in greenfield environments, enjoys client engagement, and values clean, scalable, well-documented engineering.


Key Responsibilities:


  • Design and build robust data pipelines using AWS (S3, Redshift, Glue, Lambda, Step Functions, DynamoDB).
  • Deliver ETL/ELT solutions with Matillion and related tooling.
  • Work closely with client teams to define requirements and hand over production-ready solutions.
  • Own infrastructure and deployment via CI/CD and IaC best practices.
  • Contribute to technical strategy and mentor junior engineers.


Requirements:


  • Strong hands-on AWS experience – S3, Redshift, Glue essential.
  • Proven experience building ETL/ELT pipelines in cloud environments.
  • Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet).
  • Skilled in working with relational databases and data lake architectures.
  • Experienced with Matillion and modern data visualisation tools (QuickSight, Tableau, Looker, etc.).
  • Strong scripting and Linux/cloud environment familiarity.


Desirable:


  • Exposure to big data tools (Spark, Hadoop, MapReduce).
  • Experience with microservice-based data APIs.
  • AWS certifications (Solutions Architect or Big Data Specialty).
  • Knowledge of machine learning or advanced analytics.


Interested?


This is a great opportunity to join a collaborative team at the forefront of cloud data engineering. If you’re hands-on, delivery-focused, and ready for your next challenge - get in touch with Anna-Jane Murphy at Anson McCade to learn more.


AMC/AJM/PDEC

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.