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