Senior Data Engineer

Leap29; Greater London; On-site; GBP 111,000 - 166,000; Full time

Job summary

Leap29 is recruiting a Senior Data Engineer for a 6-month contract in London. You will design, build, and optimise scalable data pipelines and cloud-based data solutions using Python, Databricks or Snowflake, and modern ETL technologies.

You will work across cloud platforms (AWS, Azure, or GCP), apply data modelling and quality controls, implement CI/CD, and contribute to cloud data architecture and governance.

Qualifications

• Strong Python and SQL experience.
• Hands-on Databricks and Snowflake experience.
• Cloud platforms experience (AWS, Azure, or GCP).
• Experience with Git, CI/CD and collaborative engineering.
• PySpark and Delta Lake experience.
• Terraform and Infrastructure as Code.
• Cloud data architecture and governance.
• Experience mentoring engineers and working in Agile teams.

Responsibilities

• Design, build, and optimise scalable data pipelines and cloud-based data solutions.
• Work with Python, Databricks or Snowflake, and modern ETL technologies to deliver reliable data platforms.
• Collaborate in Agile teams and contribute to data governance and quality.
• Mentor engineers and promote best practices in CI/CD and data engineering.

Skills

Python

SQL

PySpark

Data modelling

Data quality

Pipeline optimisation

Mentoring engineers

Agile teams

Cloud data architectures

Tools

Databricks

Snowflake

AWS

Azure

GCP

Git

CI/CD

Delta Lake

Terraform

Job description

London, UK

6 Month Contract – Inside IR35

About the Company

We are working with a growing, technology-driven organisation focused on using data and innovation to deliver impactful solutions. They foster a collaborative environment where technology professionals can develop, innovate, and make a difference.

About the Role

We are seeking a Senior Data Engineer to design, build, and optimise scalable data pipelines and cloud-based data solutions. You will work with Python, Databricks or Snowflake, and modern ETL technologies to deliver reliable, high-quality data platforms.

• Strong Python and SQL experience.
• Hands‑on experience with Databricks and/or Snowflake.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of data modelling, data quality, and pipeline optimisation.
• Experience with Git, CI/CD, and collaborative engineering practices.
• PySpark and Delta Lake experience.
• Terraform and Infrastructure as Code.
• Cloud data architecture and governance.
• Experience mentoring engineers and working in Agile teams.

Are you an experienced Data Engineer passionate about Python, cloud technologies, and modern data platforms? Join my client and help build scalable solutions that drive meaningful business outcomes.