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

Apply Now

Data Engineering Associate

Consultancy.uk
London
1 month ago
Applications closed

Related Jobs

View all jobs

Associate Director Data Engineer

Principal Data Engineer

Principal Data Engineer

Data Engineer – 12 Month Fixed-Term Contract

Principal Data Engineer. Job in Glasgow Education & Training Jobs

AWS Data Engineer

Overview

Data Engineering Associate role at Consultancy.uk. Location: London. Firm: Metyis. Education: Postgraduate degree.

What you will do

  • Engineer complete technical solutions to solve concrete business challenges in a range of domains.
  • Collect functional and non-functional requirements, consider technical environments, business constraints, and enterprise organizations.
  • Support our clients in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, training and scoring machine learning models.
  • Collaborate closely with partners, strategy consultants, and data scientists in a flat and agile organization where personal initiative is highly valued.
  • Share data engineering knowledge by giving technical training.
  • Guide and mentor team members.

What you will bring

  • 3-4 years of experience in data engineering.
  • Understanding of data warehousing principles, concepts and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF).
  • Advanced SQL, data transformation and data profiling skills.
  • Experience of building production ETL/ELT pipelines at scale.
  • 1-2 years of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming.
  • Experience with Airflow and Kubernetes.
  • Programming languages: Python (PySpark), scripting languages like Bash.
  • Knowledge of Git, CI/CD operations and Docker.
  • Basic knowledge of PowerBI is a plus.
  • Experience deploying cloud infrastructure is desirable
  • Understanding of Infrastructure as Code would be beneficial
  • True engineering craftsmanship mindset.
  • Passionate about continuous improvement and working collaboratively.
  • Strong problem-solving skills, coupled with the ability to convey designs and ideas to a wider audience.
  • Bachelor's Degree in Computer Science, Mathematics, Economics, Engineering, Operations Research, Statistics, Business or other related technical disciplines (Master's Degree is a plus).

Who we are

Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact.

What we offer

  • Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change.
  • Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
  • Become part of a fast-growing international and diverse team.

Job information

  • Firm: Metyis
  • Location: London
  • Education: Postgraduate degree

Referrals increase your chances of interviewing at Consultancy.uk by 2x

Sign in to set job alerts for "Engineering Associate" roles.


#J-18808-Ljbffr

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.

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.

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.

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.