E-commerce: A Senior Data Engineer to Build the Warehouse the Business Was Missing

S.N's category managers were pulling sales numbers from manual CSV exports, a full day behind on every decision. The company needed a Senior Data Engineer to build a proper warehouse, but a 10-week local search - two recruiter shortlists plus their own postings - produced only candidates with basic reporting-SQL experience, not the dbt/Snowflake pipeline background the role needed.

S.N needed a permanent hire who already had production dbt/Snowflake experience, not someone to train up. GTEMAS matched three Tech Masters from the Talent Ecosystem whose verified Skill Profiles covered exactly that pipeline stack. S.N interviewed all three and made the final call themselves. Onboarding: GTEMAS supported offer negotiation and the transition once the candidate accepted, then stepped back - the engineer joined S.N's own team and payroll directly.

The first version of the warehouse was live within six weeks of the hire starting, cutting the reporting lag from a full day to same-day. S.N's Head of Analytics noted that because the candidate's dbt experience was already verified before the interview, the conversation could focus on how they'd structure the warehouse for S.N's specific catalog, not whether they knew the tools.