Data Engineer (Snowflake, DBT)

Job Description

Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect.

DATA ENGINEER

6-MONTH CONTRACT

LONDON (1 day in office)

£500 - £550 per day (Outside IR35)

This position as a Snowflake Engineer offers the opportunity to join a leading travel company based near West London, currently undergoing a major cloud data transformation.

THE COMPANY

This established Pharma brand is known for its innovation and commitment to delivering seamless customer experiences through data. With a focus on modernising its data platforms, the company is investing in Snowflake and cloud-native tooling to better understand customer journeys, improve operations, and fuel growth. Contractors and perm hires we've placed here consistently highlight the collaborative culture, exciting technical challenges, and strong support from leadership.

THE ROLE

As a Data Engineer, you will play a crucial role in a data transformation program, focusing on optimising data pipelines and enabling cloud-driven insights. You will also be responsible for post-project documentation, ensuring clear communication with non-technical stakeholders.

Your key responsibilities will include:

• Designing and implementing a Snowflake-based data warehouse, ensuring scalability and efficiency.
• Developing and optimising ELT pipelines, leveraging Snowflake best practices for data ingestion and transformation.
• Enhancing performance and query optimisation, ensuring cost-effective and high-performing workloads.
• Working with dbt and Airflow to transform raw data into structured datasets for analytical consumption.
• Creating clear documentation to communicate technical processes to non-technical teams.

KEY SKILLS AND REQUIREMENTS

To succeed in this role, you should have:

• Strong commercial experience with Snowflake and its ecosystem.
• Proficiency in SQL for data modelling and transformation within Snowflake.
• Experience with dbt to develop scalable data pipelines.
• Knowledge of ELT processes and best practices for cloud-based data architecture.
• Hands-on experience with performance tuning and query optimisation in Snowflake.
• Familiarity with cloud platforms (AWS/GCP/Azure) and their integration with Snowflake. xwzovoh

HOW TO APPLY

Please register your interest by sending your CV via the apply link on this page.