Senior Data Engineer

Wave Talent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering & DataOps Leader – Azure

Senior Data Science Engineer

Senior Data Science Engineer

Senior AI/Generative Data Engineer: LLMs, MLOps, Cloud

Senior Data Scientist

Senior Data Scientist

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.