Senior Data Engineer

Data Idols; Greater London; Hybrid; GBP 80,000 - 95,000; Full time

Job summary

Data Idols, London, is seeking a Senior Data Engineer to design, build and scale data pipelines in a hybrid/remote role. You’ll own the data integration architecture across commercial systems and a central cloud warehouse, delivering reliable data foundations for analytics and AI‑driven initiatives.

The ideal candidate has strong Python and SQL, hands‑on GCP/BigQuery experience, and familiarity with modern tools like dbt, Airflow and Fivetran. Excellent stakeholder collaboration is essential.

Qualifications

• Proven experience in designing and maintaining production‑grade data pipelines.
• Strong hands‑on Python and SQL expertise.
• Extensive GCP and BigQuery experience.
• Experience with HubSpot and data integrations.
• Practical knowledge of reverse ETL and moving data between warehouses and operational systems.
• Strong understanding of APIs and data interfaces.
• Familiarity with modern data tooling (dbt, Airflow, Fivetran, Census).
• Excellent stakeholder management and communication skills.

Responsibilities

• Design, build and maintain data pipelines and integration architecture.
• Collaborate with cross‑functional teams to ensure reliable data flows.
• Own data quality, reliability and scalability of data foundations.
• Partner with stakeholders to translate business needs into data solutions.

Skills

Data pipelines

Python

SQL

GCP

BigQuery

HubSpot

Reverse ETL

APIs

dbt

Airflow

Fivetran

Census

Stakeholder management

Tools

dbt

Airflow

Fivetran

Census

Job description

Senior Data Engineer

Salary: £80,000 – £95,000

Location: London | Hybrid/Remote

Data Idols are working with a leading technology organisation that is continuing to invest in its data engineering capabilities. They are looking for an experienced Senior Data Engineer to join their team, helping to develop and scale the data infrastructure that supports business growth.

This is an exciting opportunity to work with a modern cloud-based data stack, taking ownership of complex data integrations and building reliable data foundations that support analytics, operational decision-making and AI-driven products.

The Opportunity

As a Senior Data Engineer, you’ll play a key role in designing, building and maintaining the data pipelines and integration architecture connecting commercial systems with a central cloud data warehouse.

You’ll work across a range of data systems and technologies, ensuring data flows reliably and efficiently throughout the organisation. You’ll take ownership of developing scalable data solutions, improving data quality and ensuring the underlying infrastructure supports evolving business needs.

Working closely with technical teams and business stakeholders, you’ll help optimise data processes, simplify complex architectures and ensure the business can make the most of its data.

Skills and Experience

• Strong commercial experience as a Data Engineer, building and maintaining production‑grade data pipelines
• Extensive hands‑on experience with Python and SQL
• Strong experience with GCP and BigQuery
• Experience with HubSpot
• Practical experience with reverse ETL and moving data between warehouses and operational systems
• Strong understanding of APIs
• Familiarity with modern data engineering tools such as dbt, Airflow, Fivetran or Census
• Excellent stakeholder management skills

If you’re an experienced Senior Data Engineer who enjoys solving complex integration challenges, working with modern cloud technologies and building data platforms that make a genuine business impact, we’d love to hear from you.

Senior Data Engineer