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

Apply Now

Senior Data Engineer

Wave Talent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior Data Infrastructure & MLOps Engineer

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist, Life Sciences

A very well-funded AI start-up, with presence across Europe, US and the Middle East, is looking for a Senior Data Engineer.



Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

Having just raised one of the largest Series A funding rounds in the sector, they are looking to grow rapidly, building multiple new product development teams (circa 30 new hires across Data & Engineering).


????Salary:up to £120k

????Location:Old Street (3-4 office days/week)


Must have requirements:

  • Being able to write high quality, production-grade code - ideally in Python, Java or Scala
  • Knowledge of data modelling and schema design
  • Strong system design skills with data-intensive applications
  • Strong SQL skills and experience with relational databases (e.g. PostgreSQL,
  • MySQL)
  • Experience with at least one cloud platform (ideally AWS) and its data services
  • Great written and verbal communication skills


???? Bonus points for:

  • Experience with big data technologies (e.g. Hadoop, Spark, Kafka)
  • Experience with AWS data services (e.g. S3, Athena, AWS Glue)
  • Familiarity with data warehousing solutions (e.g. Redshift, BigQuery, Snowflake)
  • Knowledge of containerisation and orchestration tools (e.g. Docker, ECS, Kubernetes)
  • Data orchestration experience with Airflow or Prefect
  • Familiarity with CI/CD pipelines and DevOps practices
  • Familiarity with Infrastructure-as-code tools (e.g. Terraform, AWS CDK)
  • Experience with machine learning pipelines and MLOps
  • Having worked in a rapidly growing, product-focused start-up

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.