Snowflake Data Engineer

Role: Snowflake Data Engineer

Location: Basildon,

Contract Type: Hybrid / INSIDE IR35

Technologies: Snowflake, SQL, Python, dbt, Snowpipe, Snowpark, Streams, Tasks, Stored Procedures, Data Modelling, ETL, ELT, AWS, Azure, Kafka, Airflow, Matillion, Informatica, Talend, Fivetran, Data Quality, Performance Tuning, SnowPro.

Are you a hands-on Snowflake Data Engineer looking for your next contract opportunity?

We are seeking an experienced Data Engineer to join a high-profile programme, working on the design, development and optimisation of modern data solutions. You'll play a key role in building scalable data pipelines, enhancing data quality, and supporting business-critical analytics initiatives.

Key Responsibilities

• Design, develop and maintain data pipelines and ETL/ELT processes using Snowflake.
• Build and optimise Snowflake data models, streams, tasks and stored procedures.
• Develop scalable solutions using SQL, Python, Snowpark and Snowpipe.
• Support data integration across cloud and enterprise platforms.
• Troubleshoot performance issues and implement tuning improvements.
• Collaborate with technical and business stakeholders to deliver data-driven solutions.
• Ensure data quality, governance and best practice standards are maintained.

Essential Skills & Experience

• Strong commercial experience with Snowflake in a Data Engineering capacity.
• Advanced SQL and Python development skills.
• Experience with dbt , Snowpipe , Snowpark , Streams , Tasks and Stored Procedures .
• Strong understanding of Data Warehousing , Data Modelling , ETL and ELT concepts.
• Experience working in cloud environments, ideally AWS and/or Azure .
• Knowledge of data integration and orchestration tools such as Kafka , Airflow , Matillion , Informatica , Talend or Fivetran .
• Experience with data quality, optimisation and performance tuning.
• Excellent stakeholder management and communication skills.

Desirable

• Snowflake certifications such as SnowPro .
• Experience delivering within large-scale enterprise data environments.