Data Engineer

Data Engineer

Position:
Data Engineer

Location:

Cambridge / Luton, UK (Hybrid 2-3 days onsite in a week)

Duration:
Long Term B2B Contract

The ideal candidate has a minimum of 5+ years of experience and strong experience working with Snowflake, DBT, Python, and AWS to deliver ETL/ELT pipelines using various resources.

Proficiency in Snowflake data warehouse architecture and designing, building, and optimizing ETL/ELT pipelines using DBT (Data Build Tool) and Snowflake.

Experience with DBT for data transformation and modelling, implementing data transformation workflows using DBT (core/cloud).

Strong Python programming skills for automation and data processing, creating automation scripts and optimizing data processing tasks.

Proficiency in SQL performance tuning and query optimisation techniques in Snowflake.

Troubleshoot and optimise DBT models and Snowflake performance.

Knowledge of CI/CD, version control (Git), and orchestration tools such as Airflow.

Strong analytical and problem‑solving skills with the ability to work in an agile development environment independently.

Ensure data quality, reliability, and consistency across different environments.

Collaborate with other data engineers, data analysts, and business stakeholders to understand data needs and translate them into engineering solutions.

Certification in AWS, Snowflake, or DBT is a plus.

Snowflake, DBT, Python, ETL