Lead Data Engineer

Tenth Revolution Group; United States; Remote; USD 132,000 - 161,000; Full time

Benefits offered by this job

Up to £110,000 basic salary

Fully Remote Working (UK)

Private Medical Insurance

Annual Team Bonus Scheme

Long-term incentive opportunities

Job summary

Tenth Revolution Group is seeking a Lead Data Engineer to own and shape the company’s data platform from a fully remote UK base. You will drive cloud-native data solutions, data governance and analytics enablement across the org, with an eye toward future data leadership.

The role combines hands-on engineering with strategic influence, partnering with Product, Engineering and Leadership to steer data architecture and ML/AI initiatives.

Qualifications

• Strong experience designing and operating production-grade data platforms.

Responsibilities

• Design scalable cloud-based data platforms.
• Create robust ETL/ELT pipelines and data services.
• Develop analytical datasets, dashboards and BI solutions.
• Build APIs and trusted data products for enterprise clients.
• Support ML/AI initiatives through robust data architecture.
• Establish governance, lineage, quality and observability standards across the data estate.
• Collaborate with Product, Engineering, Data Science and Leadership to influence decisions.
• Help define long-term data architecture and operating model.

Skills

Data platform design

Cloud data engineering

Stakeholder engagement

Data governance

Data modeling

ETL/ELT pipelines

Analytics/BI thinking

Tools

AWS

Python

SQL

Data Warehousing

Data Lakes

Data Pipelines

APIs & Data Services

Machine Learning Infrastructure

AI & Machine Learning Systems

Analytics Engineering

Data Governance

Data Observability

Cloud-Native Architecture

Job description

Lead Data Engineer - Fully Remote (UK) - AWS - AI & Machine Learning - Up to £110,000

Are you a Senior Data Engineer looking for the opportunity to own a data function rather than simply contribute to one?

We're working with a high-growth technology business that is scaling rapidly and investing heavily in its data, analytics and AI capabilities. The organisation develops cutting-edge products that combine data, machine learning and AI to help global enterprise clients make better decisions through intelligent, evidence-driven insights.

This is an opportunity to join at a pivotal stage of growth, taking ownership of the company's data platform and helping shape the future direction of its analytics, machine learning and AI capabilities. Initially you'll be a highly influential senior individual contributor, with the opportunity to build and lead a wider data team as the business continues to scale.

You Will Work With

Technologies

• AWS
• Python
• SQL
• Data Warehousing
• Data Lakes
• Data Pipelines
• APIs & Data Services
• Machine Learning Infrastructure
• AI & Machine Learning Systems
• Analytics Engineering
• Data Governance
• Data Observability
• Cloud-Native Architecture

You'll Be Responsible For

• Designing and building scalable cloud-based data platforms.
• Creating robust ETL/ELT pipelines and data services.
• Developing analytical datasets, dashboards and business intelligence solutions.
• Building APIs and trusted data products for enterprise clients.
• Supporting machine learning and AI initiatives through high-quality data architecture.
• Establishing governance, lineage, quality and observability standards across the data estate.
• Working closely with Product, Engineering, Data Science and Leadership teams to influence strategic decisions.
• Helping define the long-term data architecture and operating model of the business.

Benefits

• Up to £110,000 basic salary
• Fully Remote Working (UK)
• Private Medical Insurance
• Annual Team Bonus Scheme
• Long-term incentive opportunities available
• High levels of autonomy and ownership
• Opportunity to build and lead a future Data function

Key Experience

• Strong experience designing and operating production-grade data platforms.
• Advanced SQL and data modelling skills.
• Hands-on AWS experience within modern data environments.
• Experience building scalable ETL/ELT pipelines and cloud-native data solutions.
• Exposure to modern BI and analytics tooling such as Power BI, Tableau, Looker or similar.
• Experience supporting Machine Learning or AI workloads through robust data engineering practices.
• Knowledge of data governance, security, lineage and observability.
• Strong stakeholder engagement skills and the ability to influence technical direction.
• Experience working with large, complex datasets within enterprise environments.

Any experience with Machine Learning, Statistical Modelling, AI Systems, Agentic AI or MLOps would be highly beneficial.

Why Apply?

This is a rare opportunity to join a growing technology organisation where you'll have genuine ownership, influence technical strategy and work on cutting-edge data and AI challenges from day one.

If you're looking for a role that combines Data Engineering, Analytics, AI Enablement and future leadership opportunities, this could be the ideal next step in your career.