Building Your Data Platform Team: A 14-Day Blueprint

The 14 Day Process Explained

Most companies spend 12 weeks hiring a data engineer. We match you with 2 to 3 pre-vetted candidates in 14 days. Here is exactly how it works.

Who this is for: CTOs, Heads of Data, and VPs Engineering at funded startups and scaleups who need senior data capacity fast.

Why 14 Days Matters

Every week without a senior data engineer costs more than their salary. Your backlog grows. Your product team waits. Your competitors ship. The difference between a 14-day match and a 12-week hire is 10 weeks of execution you either have or you don't.

Day 1 to 3: Requirements and Matching

You tell us what you are building. The tech stack matters: Python, SQL, Spark, dbt, Airflow, Kafka, Databricks, Snowflake, AWS, GCP, Azure. We need to know which platforms your team uses.

We also ask about the actual work. Are you building data pipelines from scratch? Modernizing legacy ETL? Deploying ML models to production? Building real time streaming systems?

This is not a generic job description. We want to understand the specific technical challenges so we can match engineers who have solved similar problems.

Day 4 to 10: Engineer Selection and Vetting

We review our network of South African data engineers, ML engineers, and data scientists. All have 5 to 10+ years of production experience. All have worked on data platforms for financial services, retail, telecom, or SaaS companies.

We look at previous projects: data pipelines they have built, ML systems they have deployed, infrastructure they have scaled. We verify technical depth through work samples and reference checks.

We focus on specialists who match your specific requirements. If you need Databricks and dbt experience, we do not send Python generalists. If you need ML engineering, we send engineers who have trained and deployed models in production. All placements are contractors, giving you flexibility without long employment commitments.

Day 11 to 14: Introduction and Interviews

You get 2 to 3 candidate profiles. Resume, LinkedIn, technical background, relevant project experience. You choose who to interview.

Interviews happen on your timeline. South African engineers work the same hours as UK and European teams, or have 6 hour overlap with US East Coast. Scheduling is simple.

You run technical interviews however you normally do. Some teams do live coding. Some do system design discussions. Some do take home challenges. The engineers are ready for whatever process you use.

What You Need Ready for This to Work

• Clear tech stack requirements (languages, platforms, tools).
• Defined project scope or initial tasks for the first 30 days.
• Interview availability within the 14-day window.

What Happens After You Hire

Contractors can often start within days. No long notice periods. No waiting for visa approvals. No employment bureaucracy.

We handle contracts and payroll. You get an invoice. The engineer joins your team, gets access to your systems, and starts building.

Most teams onboard South African contractors the same way they onboard any remote engineer. Share documentation, set up development environments, assign first tasks, schedule daily standups.

The 30 Day Safety Net

If an engineer is not the right fit in the first 30 days, we provide a free replacement. No additional fees. No questions asked.

This has happened twice in the last 18 months. Once because the engineer's communication style did not match the team culture. Once because the project scope changed and required different technical skills.

Both times we provided replacement candidates within 7 days. The goal is a successful long term placement, not just filling a seat.

Technical Depth You Can Rely On

South African data engineers have been building production systems since 2013. They have worked on retail analytics platforms processing millions of transactions. Financial services data pipelines handling sensitive data. Telecom infrastructure at massive scale.

This is not entry level talent learning on your project. These are senior engineers who have solved hard data problems in production environments.

Who This Is Not For

• Teams still figuring out what to build.
• Teams looking for junior engineers to train up.
• Teams optimizing purely for the lowest cost.

Next Step

If you want to sanity-check whether a 14-day match is realistic for your team, book a 15-minute fit call. You'll leave with a clear shortlist plan.

Ready to Build Your Team?

Senior data engineers matched in 14 days for US, UK, and Irish companies. Production continuity when senior hiring stalls.

Book a Discovery Call