Senior Data Engineer

Peaple Talent; West of England; On-site; GBP 70,000 - 110,000; Full time

Job summary

Peaple Talent in Bristol is seeking a Senior Data Engineer to design, build, and evolve a scalable data platform. You will work hands-on with Python and SQL while shaping architecture and governance, mentoring teammates along the way.

The role requires strong data modelling, security awareness, and experience with modern data tools such as Snowflake, dbt, Airflow, and Dagster. A high-impact data engineering career awaits in a growing org.

Qualifications

• Strong experience with Python and SQL in a data engineering context.
• Proven track record of delivering cloud-based data solutions on AWS with optional Azure/GCP exposure.
• Familiarity with modern data stack technologies and orchestration tools.
• Solid understanding of data modelling, governance, security, and platform design.
• Ability to balance hands-on engineering with architectural thinking and leadership.

Responsibilities

• Design, build, and maintain scalable end-to-end data pipelines.
• Develop production-grade solutions using Python and SQL.
• Work with Snowflake, dbt, and Airflow/Dagster.
• Influence data platform architecture and technical decision-making.
• Drive CI/CD, automated testing, data quality, and observability best practices.
• Mentor engineers and raise technical standards across the team.

Skills

Python

SQL

AWS

Azure

GCP

Snowflake

dbt

Airflow

Dagster

CI/CD

Data modelling

Governance

Security

Leadership

Tools

Snowflake

dbt

Airflow

Dagster

Job description

A growing Bristol-based organisation is seeking a Senior Data Engineer to play a key role in the development and evolution of its data platform.

This opportunity is well suited to an experienced engineer who combines strong hands-on technical skills with the ability to think strategically about architecture, scalability, governance, and engineering best practice.

Key Responsibilities

• Design, build, and maintain scalable end-to-end data pipelines
• Develop production-grade solutions using Python and SQL
• Work with modern data technologies including Snowflake, dbt, and Airflow/Dagster
• Influence data platform architecture and technical decision-making
• Drive best practices across CI/CD, automated testing, data quality, and observability
• Mentor engineers and help raise technical standards across the team

Key Requirements

• Strong commercial experience with Python and SQL
• Proven experience delivering cloud-based data solutions ideally in AWS will consider Azure or GCP
• Experience with modern data stack technologies and orchestration tools
• Strong understanding of data modelling, governance, security, and platform design
• Ability to balance hands-on engineering with architectural thinking and technical leadership

If you're a Senior Data Engineer or Lead Data Engineer looking for greater technical ownership while remaining close to the technology, this could be an excellent next step.