Senior Data Engineer (£75K-£95K + Equity) at Impact-driven climate tech platform

Jack & Jill/External ATS; Greater London; On-site; GBP 75,000 - 95,000; Full time

Job summary

A leading climate tech platform in London seeks a Senior Data Engineer to own the data stack from ingestion to analytics. You'll design and implement robust data pipelines, manage AWS cloud infrastructure, and collaborate with teams to deliver insights. Ideal candidates have over 5 years of data engineering experience with expertise in Python, SQL, and strong DevOps skills. This role offers a salary of £75K-£95K plus equity, supported by top-tier VCs.

Qualifications

• 5+ years' experience in data engineering and cloud infrastructure.
• Expertise in Python (PySpark), SQL, and dbt or similar transformation frameworks.
• Strong DevOps skills — Terraform, Docker, CI/CD, monitoring/logging tools.

Responsibilities

• Own the data stack from ingestion to analytics, including storage, processing, and access layers.
• Design and implement data pipelines for API, streaming, and batch ingestion.
• Manage cloud infrastructure (AWS) with a DevOps mindset — CI/CD, IaC, monitoring, scaling.

Skills

Data engineering

Cloud infrastructure

Python (PySpark)

SQL

DevOps skills

Tools

Terraform

Docker

CI/CD tools

Job description

Senior Data Engineer

Salary: £75K-£95K + Equity

Company Description: Impact-driven climate tech platform

Location: London, UK

Job Description: As a Senior Data Engineer, you'll own the entire data stack, from ingestion to analytics, for a rapidly growing climate tech platform. Design and implement robust data pipelines, manage cloud infrastructure with a DevOps mindset, and build scalable systems. Collaborate with product and engineering to deliver critical data for internal tools, analytics, and AI models, establishing best practices for governance and reliability.

Why this role is remarkable

• Shape a high-impact data platform from its early stages to global scale
• Well-funded by top-tier VCs focused on climate and tech
• Lead innovation in a critical sector, directly impacting global climate challenges

What you will do

• Own the data stack from ingestion to analytics, including storage, processing, and access layers.
• Design and implement data pipelines for API, streaming, and batch ingestion.
• Manage cloud infrastructure (AWS) with a DevOps mindset — CI/CD, IaC, monitoring, scaling.

The ideal candidate

• 5+ years' experience in data engineering and cloud infrastructure.
• Expertise in Python (PySpark), SQL, and dbt or similar transformation frameworks.
• Strong DevOps skills — Terraform, Docker, CI/CD, monitoring/logging tools.

How to Apply

To apply for this job speak to Jack, our AI recruiter.

Step 1. Visit our website
Step 2. Click 'Speak with Jack'
Step 3. Login with your LinkedIn profile.
Step 4. Talk to Jack for 20 minutes so he can understand your experience and ambitions.
Step 5. If the hiring manager would like to meet you, Jack will make the introduction.