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

ZipRecruiter

Leeds
Remote
GBP 75,000 - 95,000
Today
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Remote
GBP 40,000 - 44,000
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Senior Data Engineer - UK based - Remote/Hybrid - £75-95k DOE + Equity
ZipRecruiter
Leeds
Remote
GBP 75,000 - 95,000
Full time
2 days ago
Be an early applicant

Job summary

A climate tech venture is seeking a Senior Data Engineer to manage the full data stack and build scalable pipelines. This remote-first role requires 5+ years in data engineering, expertise in Python and SQL, and strong AWS skills. Join a mission-driven team focused on making a real difference for the planet. The position offers equity ownership and flexible working arrangements.

Benefits

Real equity ownership and upside potential
Remote-first, flexible working
Autonomy and high-impact decision-making
Collaborative culture with a 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: 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.

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.
  • Deliver data solutions for analytics, internal tools, and AI models.
  • Establish and maintain best practices for data governance, security, and reliability.

Skills

Data engineering
Cloud infrastructure management
Python (PySpark)
SQL
DevOps skills
AWS services (S3, ECS/Fargate, RDS, Lambda)
Data warehousing

Tools

Terraform
Docker
CI/CD
Monitoring/logging tools
PostgreSQL
Kafka
Kinesis
Job description

Job Description

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.

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

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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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