Hybrid Junior Data Engineer - AWS, Snowflake & Python

Burns Sheehan Limited; Hemel Hempstead; Hybrid; GBP 26,000 - 36,000; Full time

Job summary

Burns Sheehan Limited in Hemel Hempstead is seeking a talented Junior Data Engineer to join a small, experienced data team. You will own and develop data pipelines using a modern cloud stack, with opportunities to grow your engineering skills and contribute to business decisions.

The role focuses on building pipelines, refining SQL and Python capabilities, and collaborating with stakeholders to ensure data accuracy. Hybrid work with 3 days onsite and potential flexibility is offered.

Qualifications

• Strong SQL skills and understanding of data engineering fundamentals.
• Exposure to Python, AWS, Snowflake or similar modern data technologies.
• Understanding of data pipelines, transformation and data quality.
• Curious, proactive mindset and the confidence to solve problems independently.
• Interested in developing into a well-rounded Data Engineer.

Responsibilities

• Building and maintaining data pipelines using AWS, Snowflake and dbt.
• Writing and optimising SQL queries and developing your Python skills.
• Supporting data modelling, transformation, testing and reconciliation.
• Working with stakeholders to understand requirements and ensure data accuracy.
• Contributing to new data products and improvements across the platform.
• Learning from experienced engineers while gradually taking greater ownership of projects.

Skills

SQL fundamentals

Data engineering basics

Python exposure

AWS

Snowflake

dbt

Data quality

Problem solving

Tools

AWS

Snowflake

dbt

Job description

Burns Sheehan Limited in Hemel Hempstead is seeking a talented Junior Data Engineer to join a small, experienced data team. You will own and develop data pipelines using a modern cloud stack, with opportunities to grow your engineering skills and contribute to business decisions.

The role focuses on building pipelines, refining SQL and Python capabilities, and collaborating with stakeholders to ensure data accuracy. Hybrid work with 3 days onsite and potential flexibility is offered.