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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 ETL/ELT design data mapping data modelling and hands-on data engineering using DBT.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 EMR PySpark Iceberg nice to have
Key Responsibilities
- Design and implement ETL/ELT 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


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Nontechnical 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
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