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

ZipRecruiter; Ashton-under-Lyne; Remote; GBP 75,000 - 95,000; Full time

Job summary

A leading climate tech venture is seeking a Senior Data Engineer to own the full data stack and manage cloud infrastructure on AWS. You will work in a remote-first environment, focusing on ocean conservation and data solutions for internal tools and AI models. The role offers real equity ownership, flexibility, and involvement in impactful decision-making. Ideal candidates have over 5 years of data engineering experience, strong skills in Python and SQL, and expertise in AWS.

Benefits

Real equity ownership

Remote-first, flexible working

Collaborative culture

Qualifications

• 5+ years’ experience in data engineering and cloud infrastructure.
• Experience with event streaming (Kafka, Kinesis, Pub/Sub) is a plus.
• Proven ability to deliver scalable, low-latency data services.

Responsibilities

• Own the full data stack from ingestion through to analytics.
• Build and maintain scalable pipelines across API, streaming, and batch processes.
• Manage cloud infrastructure on AWS with a DevOps mindset.

Skills

Data engineering

Python (PySpark)

SQL

DevOps skills (Terraform, Docker)

AWS experience (S3, ECS/Fargate)

Tools

Terraform

Docker

PostgreSQL

Kafka

Job description

Overview

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

Futureheads has just partnered with an early-stage climate tech venture tackling one of the world’s most urgent challenges: 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.

Requirements

• 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 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.