Data Engineer

Senzo; England; Hybrid; GBP 60,000 - 70,000; Full time

Benefits offered by this job

Competitive salary

Equity

Hybrid working

Growth opportunities

Job summary

A mission-driven technology company in London is looking for an Entry-level Data Engineer to build and maintain data pipelines that aid product and analytics. This role involves integrating data sources into a reliable data layer, ensuring quality checks, and supporting future AI initiatives. Candidates should be strong in Python and SQL, ideally with experience in AWS. Competitive salary of £60,000 - £70,000 plus equity, and hybrid work model offered.

Qualifications

• Strong experience with Python and SQL.
• Solid data engineering fundamentals and experience building production data pipelines.
• Experience working in AWS or another major cloud environment.

Responsibilities

• Build and maintain data pipelines that ingest, transform, and serve data.
• Integrate multiple internal and external data sources into a clean, reliable data layer.
• Help establish best practices around data modelling and quality checks.

Skills

Python

SQL

AWS

Data engineering fundamentals

Tools

Fivetran

Airbyte

Job description

Salary: £60,000 - 70,000 + Equity + Benefits

An early-stage, mission-driven technology company is building an AI-led intelligence platform designed to bring transparency to a highly complex global industry. With sustainability at its core, the platform enables large organisations to make better, more responsible decisions by combining real-time data, pricing intelligence, and policy insight.

With an MVP live, early enterprise customers engaged, and strong funding in place, the company is now focused on strengthening the data foundations that underpin the product and its future AI roadmap.

This role will be one of the first dedicated data engineering hires. You will work closely with senior technical leadership to build reliable data pipelines, improve data quality, and enable analytics, product features, and machine-learning use cases as the platform evolves.

Role

• Build and maintain data pipelines that ingest, transform, and serve data for product and analytics use cases.
• Integrate multiple internal and external data sources into a clean, reliable data layer.
• Work closely with engineering and product teams to ensure data supports real-world decision making.
• Help establish best practices around data modelling, transformation, and quality checks.
• Contribute to the foundations that will support future machine-learning and AI initiatives.

Core skills

• Strong experience with Python and SQL.
• Solid data engineering fundamentals and experience building production data pipelines.
• Experience working in AWS or another major cloud environment.
• Comfortable operating in an evolving system where some foundations are still being built.
• A collaborative mindset and interest in understanding how data is used across the product.

Nice to have

• Familiarity with managed or open-source data ingestion tools (for example Fivetran, Airbyte, or similar).
• Exposure to data used in analytics or machine-learning contexts.
• Experience working in early-stage or fast-moving product teams.

What you will get

• A role with genuine scope to grow as the data function expands.
• Close collaboration with experienced engineering and AI leadership.
• Exposure to technically interesting data problems with real-world impact.
• Equity alongside a competitive salary.
• Hybrid working, typically two days per week in London.
• A small, senior team that values ownership, honesty, and thoughtful engineering.

Unfortunately, sponsorship is not available.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Staffing and Recruiting

Location: London, England, United Kingdom