Data Engineer
Data Engineer role using Snowflake, DBT (Core/Cloud), SQL, and ETL/ELT pipelines (ODI, Informatica, Talend, SSIS) with data modelling (Kimball, Inmon, Data Vault). The role designs, implements, and maintains end-to-end data integration and transformation solutions within the Data Solutions domain in EMEA.
Free Tailor for ATS: 10/10 runs left
About Us:-
Net2Source Inc. is one of the fastest growing diversities certified global workforce solutions companies with an unprecedented YoY growth of over 100% for last 6 years working with Fortune 1000/Global 2000 across 34 countries and 5 continents including North America, South America, Europe, Asia, Australia, and Middle East.
About the Role:
Job Title – Data Engineer
Location – Basildon, UK
Mode of Work – Onsite (5 Days Onsite Per Week)
Type of Hiring – Permanent
Overview:-
We are seeking a talented and experienced Data Warehouse Modeler and Engineer DBT Snowflake to join the Data Solutions domain in EMEA
As a key contributor you will be responsible for designing and implementing end-to-end data integration and transformation solutions on Snowflake
This role combines ETLELT design data mapping data modelling and hands-on data engineering using DBT.
Skills:-
Mandatory Skills : Snowflake
Technical Qualifications:
Bachelor’s or master’s degree in computer science data engineering or a related technical field
7 years of experience in a similar role within a fast-paced enterprise scale environment
Strong proficiency in SQL and hands-on experience with DBT Core or Cloud or any other traditional ETL Tools ODI Informatica Talend
SSIS etc
Snowflake data engineering
SQL data modelling Kimball Inmon Data Vault concepts ETL ELT design and data mapping
Data quality governance and performance optimization
A solid understanding of end-to-end data ingestion and transformation processes
AWS data stack S3 Glue EMRPySpark Iceberg nice to have
Key Responsibilities:
Design and implement ETLELT pipelines for data ingestion transformation and consolidation
Perform data mapping from source systems to target Snowflake structures
Design and maintain conceptual logical and physical data models staging integration marts
Develop test and maintain DBT models following best practices
Optimize Snowflake performance query design materializations clustering
Ensure data quality consistency lineage and documentation
Collaborate with engineering analytics and platform teams to align on data patterns and standards
Non-technical Skills:
Demonstrated commitment ownership and accountability
Strong attention to detail with a proactive approach to identifying and resolving problems
A genuine interest in emerging data technologies and a curiosity about continuous improvements
Excellent verbal and written communication skills
AI Empowered Experience