Principal Data Engineer

Anson McCade

London

10 months ago

Applications closed

Related Jobs

View all jobs

Principal Data Engineer (we have office locations in Cambridge, Leeds and London)

Principle AI Data Engineer (contract)

Data Analyst - Aerospace

Data Analyst - Sc cleared

Principal, AI Data Science

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.

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.