Senior Data Engineer - ClimateTech - UK based - Remote/Hybrid - £75-95k DOE + Equity

Futureheads; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A climate tech venture in London seeks a Data Engineer to own the full data stack and manage AWS infrastructure. You will deliver scalable data solutions that contribute to ocean conservation efforts. Ideal candidates have over 5 years of experience in data engineering, proficiency in Python and SQL, and strong DevOps skills. This role offers real equity ownership and a remote-first flexible working environment.

Benefits

Real equity ownership

Remote-first flexible working

Collaborative culture with focus on inclusion

Qualifications

• 5+ years' experience in data engineering and cloud infrastructure.
• Expertise in Python (PySpark), SQL, and dbt (or similar).
• Strong DevOps skills including Terraform and Docker.

Responsibilities

• Own the full data stack from ingestion through to analytics.
• Manage cloud infrastructure on AWS with a DevOps mindset.
• Deliver data solutions for analytics and internal tools.

Skills

Data engineering experience

Python (PySpark)

SQL

DevOps skills

AWS experience

Data warehousing

Tools

Terraform

Docker

CI/CD

PostgreSQL

Kafka

Job description

Overview

Futureheads has partnered with an early-stage climate tech venture tackling ocean conservation and the ocean economy. This is a greenfield build where your work will have direct global impact.

Responsibilities

In this role, you will own the full data stack from ingestion through to analytics, building and maintaining scalable pipelines across API, streaming, and batch processes. You will manage cloud infrastructure on AWS with a DevOps mindset, including CI/CD, infrastructure as code, monitoring, and scaling. Working closely with engineering and product teams, you will deliver data solutions for analytics, internal tools, and AI models, while establishing and maintaining best practices for data governance, security, and reliability.

What we’re looking for

• 5+ years’ experience in data engineering and cloud infrastructure
• Expertise in Python (PySpark), SQL, and dbt (or similar)
• Strong DevOps skills: Terraform, Docker, CI/CD, monitoring/logging tools
• AWS experience: S3, ECS/Fargate, RDS, Lambda
• Data warehousing experience (PostgreSQL or similar)
• Experience with event streaming (Kafka, Kinesis, Pub/Sub) a plus
• Proven ability to deliver scalable, low-latency data services in fast-moving environments

What’s on offer

• Real equity ownership and upside potential
• Remote-first, flexible working with occasional London office days
• Autonomy, ownership, and high-impact decision-making
• Collaborative culture with a focus on inclusion and diversity

If you’re passionate about using data to make a real difference for the planet, this is your chance to join a mission-driven, early-stage team with global ambition. We encourage applicants from all backgrounds and are open to flexible recruitment processes and alternatives to assessments where needed.