Principal Data Engineer (Snowflake/Matillion)

at  Snap Analytics

A BIT ABOUT US…

Snap Analytics is a high-growth data analytics consultancy with offices in the UK and India. We work with enterprise clients to simplify complex data and drive business value. We’re customer-centric in our approach and dedicated to helping organisations achieve their strategic goals through innovative cloud analytics solutions.
We pride ourselves on using our innovative Snap 360 delivery framework, combined with a strong culture of teamwork and knowledge-sharing to consistently deliver exceptional results and ensure 100% customer satisfaction.

A BIT ABOUT THE ROLE…

This is an exciting and unique opportunity to join a high-growth consultancy that only works with the latest modern cloud platforms. You’ll be at the cutting edge of modern cloud solutions and will be a vital member within our brilliant team of consultants.
There is a huge opportunity for you to have a major impact on the organisation; to influence our growth and drive the strategic direction of the company!
As a Principal Data Engineer at Snap, building on your wealth of experience, you’ll have the opportunity to explore the latest technologies within analytics; from ETL and Modern Cloud Data Platforms, to BI and ML/AI tools.
We’ll also look to you to lead in client interaction and engagement, support and mentor more junior members of the team and assist in building internal capabilities for use with clients.

THIS ROLE IS FOR YOU IF YOU HAVE…

o Proven experience (5 years+) as a data engineer with a focus on data migration, integration and cloud-based data warehousing working with big data for enterprise organisations.
o Expertise in building data architecture on cloud platforms such as AWS, GCP or Microsoft Azure.
o 5+ years of experience of ETL/ELT design and development using tools like Matillion, Informatica, SAP Data Services, Talend and Cloud Data Platforms including Snowflake, Databricks, Redshift or BigQuery.
o A deep understanding of data modelling principles and techniques (e.g., star schema, snowflake schema), and experience in developing optimized models to support analytics and reporting.
o Experience with version control, CI/CD pipelines, and containerization tools (e.g., Git, Jenkins, Docker, Kubernetes).
o Strong knowledge of relational and non-relational databases and hands on experience with cloud data warehouses including AWS Redshift, Google BigQuery, Azure Synapse.
o A 2:1 University degree or above (or equivalent other).
o Excellent communication skills, with the ability to work collaboratively with both technical and non-technical stakeholders.
o Strong problem-solving skills, with the ability to troubleshoot complex data issues and deliver optimized solutions.