Senior Engineer, Data Engineering

4 weeks ago

United Kingdom Wave Talent Full time

Data Engineer | Own the AI Foundation at a Leading Sports Tech Scale-Up
Location: Remote (UK) | Salary: DOE + Stock Options

Solve a Critical AI Bottleneck

We are a rapidly growing, highly profitable Sports Technology scale-up—a market leader in our category—undergoing global expansion and a complete rebuild of our core platform.
We are seeking a dedicated, experienced Data Engineer to join our team as the sole, dedicated data expert. You will be the essential bridge between our Core Engineering team and our specialised AI/Machine Learning team.
Currently, our AI specialists are spending too much time on ETL and data wrangling. We need you to eliminate that bottleneck and provide the foundation for our next generation of predictive models. Design, build, and maintain scalable, robust data pipelines for high-volume, real-time data ingestion from multiple structured sports data feeds.
AI Enablement (MLOps Foundation): Partner with the Chief Scientific Officer and the AI team to deliver clean, structured, and model-ready datasets, enabling them to focus purely on complex modelling and feature engineering.
Scale & Performance: Optimise database performance and manage cloud data storage (GCP focus) to handle massive scale and support low-latency data services for our new user-facing product features.
Data Governance: Establish and champion best practices for data quality, consistency, monitoring, and documentation across the entire data lifecycle.

Experience: Proven, non-graduate experience designing and maintaining production data pipelines and ETL/ELT processes in a commercial environment.
Core Skills: Strong proficiency in Python and hands-on experience with cloud-based data storage and compute platforms (AWS, GCP, or Azure).
Data Expertise: Familiarity with relational and non-relational databases and experience deploying data APIs and microservices.
Critical Soft Skills: You must be an excellent communicator, highly conscientious, and capable of working independently to drive the entire data strategy.
Bonus: Experience with MLOps principles, Infrastructure as Code (e.g., Pulumi/Terraform), or working with sports/high-frequency data is highly beneficial.

Direct Impact: You will be the single most important hire for unlocking the potential of our AI team and accelerating our global product roadmap.
Cutting-Edge Stack: Work with modern technologies including GCP and React Native in a technically ambitious, agile environment.
Enjoy the freedom of a Fully Remote role with flexible working hours.

We are aiming to move quickly and extend an offer before Christmas (Target Dec 12th).
If you are an ambitious Data Engineer ready to step into a role where your technical expertise directly translates into business advantage, apply now for a confidential discussion.

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