<div>After years of working in the Tech industry, we create HRBaires, a diversified consulting firm. A team with more than 10 years of experience in recruitment, staffing, compensation &amp; outsourcing. We serve as strategic and operational HR partner aligning the business to their needs in Argentina and abroad.</div>

HRBaires

Location: Europe (Remote) — must work South Africa hours (UTC+2) Employment: Full-time Seniority: Mid-Senior Level Salary: $80,000 – $120,000 (estimate; client hasn’t disclosed range)
About the company A fast-growing privacy-preserving data collaboration fintech (Series A, backed by a global credit bureau and a major retailer), with teams spanning South Africa, the UK, the US, the UAE and Brazil. Banks and lenders use the platform to work with retailer and telco data without raw personal data changing hands — mainly to help people with no credit history access credit.
The role The data team is migrating legacy SQL Server / Azure Synapse stored-procedure pipelines onto open-source Apache Spark and Delta Lake. You will:
<ul>
<li>Rebuild T-SQL logic as typed, tested PySpark pipelines</li>
<li>Prove the new pipelines match legacy outputs</li>
<li>Build FastAPI services that run and report on pipeline jobs</li>
<li>Add provider-neutral LLM features (local and hosted models) into data workflows</li>
</ul>
Spec-first codebase: design docs and ADRs, with tests and documentation shipped alongside every change.
Core stack: Python, PySpark, Spark SQL, Delta Lake, FastAPI, pytest, Docker, T-SQL, LLM integration
Required
<ul>
<li>Modern typed Python (3.10+) as primary production language, with type hints passing pyright/mypy and Pydantic models — writes maintainable, tested code, not only notebooks</li>
<li>2+ years production Apache Spark / PySpark — DataFrame API and Spark SQL, including partitioning and performance tuning</li>
<li>Based in Europe or South Africa, able to work South Africa hours (UTC+2)</li>
</ul>
Nice to have
<ul>
<li>SQL Server / Synapse migration to Spark with validated output parity</li>
<li>Open-source or self-managed Spark (Kubernetes, EMR, Dataproc, Spark Connect)</li>
<li>FastAPI, LLM integration, privacy/data governance (PII tokenisation, GDPR/POPIA), fintech/banking/credit background</li>
</ul>