At a Glance
- Tasks: Build and maintain data pipelines for cutting-edge AI systems.
- Company: Fast-growing AI company serving top global clients.
- Benefits: Fully remote work, competitive salary, equity options, and real ownership of your projects.
- Other info: Join a globally distributed team and enjoy excellent career growth opportunities.
- Why this job: Make a real impact by ensuring data reliability for innovative AI solutions.
- Qualifications: Strong SQL and Python skills, experience with data pipelines and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Data Engineer - Fully Remote Conquer AI deploys production-ready AI systems for FTSE 100, FTSE 250 and Fortune 500 clients.
We're scaling fast.
Every model we ship is only as good as the data underneath it, and right now that's the part nobody owns.
The reality of this role Nobody notices good data infrastructure.
Everybody notices bad data infrastructure, usually when a model gives a client the wrong answer with total confidence.
You'll build and maintain the pipelines that feed our AI systems, structured and unstructured, batch and real time.
You'll keep feature stores and vector databases consistent with what's actually true, so the engineers building on top of you aren't debugging your problem three layers up.
What you'll own Data pipelines supporting the full AI lifecycle, from ingestion to model training to serving Feature stores and vector database consistency for retrieval and agentic systems Data quality, reliability and lineage across every pipeline you build Cloud data infrastructure and cost management on the platforms we run on Documentation that makes the data trustworthy to everyone downstream, including governance Who you are Strong in SQL and Python, with real pipeline experience, not just querying Comfortable with Spark or Py Spark, dbt and Airflow for orchestration Experience with at least one major cloud platform (AWS, GCP or Azure) You've worked with vector databases or feature stores, or you pick them up fast You treat data reliability as an engineering discipline, contracts, observability, lineage, not an afterthought Fluent English, comfortable working async across a globally distributed team Where you're coming from Data Engineer or Senior Data Engineer at a tech company, scale-up or AI-focused team.
You've built pipelines other people relied on without ever saying thank you.
Now you want to build them somewhere that notices.
What we're offering Real ownership of the data layer underneath every AI system we ship Fully remote, work from anywhere, any time zone Direct exposure to the infrastructure behind FTSE 100, FTSE 250 and Fortune 500 deployments Competitive package to include equity If you'd rather fix the data than keep hearing it's the model's fault, we should talk.
Message me, Farah, directly or apply.
PLEASE NOTE I personally review every CV, message and email I receive regarding our vacancies.
While I read each one carefully, I'm unable to reply to everyone individually due to the volume of applications.
Thank you for taking the time to apply and for your interest in working with us.
Your effort is genuinely appreciated.
