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

Apply Now

Senior Data Engineer

Xcede
united kingdom of great britain and northern ireland, uk
2 days ago
Create job alert

Senior Data Engineer

London - Hybrid with two office days per week

Up to 85k


I am supporting a major technology led organisation that is investing heavily in modernising its data platform and building next generation analytics capabilities. They are scaling their data function and are looking for a Senior Data Engineer to join the team as they kick off a large migration and modernisation programme.

The role sits within a high impact area of the business working on sustainability, risk, fraud and broader operational analytics. You will work closely with stakeholders and a collaborative engineering team to deliver scalable, reliable data solutions that underpin key business decisions.


What you will be doing:


- Designing and developing cloud based data pipelines and warehouse solutions


- Supporting a major data migration and helping shape a future lakehouse architecture


- Building and optimising ETL and ELT workflows using modern tooling


- Working with real time data pipelines and streaming technologies including Kafka


- Working with cross functional teams to translate requirements into technical designs


- Improving engineering processes through automation, testing, CI and CD


- Contributing to early stage initiatives and POCs and presenting findings to technical leadership


- Maintaining and supporting data products with a focus on long term reliability


What they are looking for:


- Strong experience in data engineering and cloud based data platforms


- Experience with AWS services such as S3, Redshift and Lambda is ideal, but open to cloud agnostic and Azure backgrounds with lakehouse expertise


- Hands on experience with Airflow, dbt and Kafka


- Strong understanding of software engineering principles, automation and CI and CD


- Experience working on data migrations or modernising legacy systems


- Ability to explain clearly what you have built and the impact it delivered


- Strong communication and stakeholder skills

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.