Full Stack BI Engineer

You'll need deep, hands-on fluency across the modern Azure data stack — and strong bridging skills for the legacy environment you're migrating from.

Python, PySpark, Azure Databricks (Delta Lake, Unity Catalog, pipelines, notebooks, jobs), Azure Data Lake Storage Gen2, Azure Data Factory, Azure Key Vault, Power BI (complex model design, advanced DAX, RLS, performance tuning), SQL / SSMS, Git & CI/CD. Familiarity with Microsoft Fabric is a plus.

You'll need hands-on experience in at least one of these domains — ideally both. This isn't a nice-to-have; it's what allows you to build data products people actually trust.

Performance Marketing Analytics — Martech infrastructure, lead attribution, campaign optimisation. You're fluent in funnel metrics (impressions, clicks, lead volume, quality indicators) and comfortable with CPL optimisation, A/B testing, creative testing, bid management, and privacy/consent compliance.

Call Centre Operations — Agent performance dashboards, coaching analytics, and conversion funnel analysis from lead to policy. You understand agent-level KPIs, Grade of Service, First-Call Resolution, and how lead quality, experience, product, and time of day drive conversion.

Ideally, you can connect marketing and sales metrics end-to-end — translating lead volume and quality into sales performance expectations and identifying where friction exists in the lead-to-policy journey.

Significant experience in BI or Data Engineering roles with end-to-end accountability. A track record of designing and owning core data models, semantic layers, and critical business reports. Hands-on production experience with Azure Databricks. Advanced Power BI skills including complex model design, RLS, performance tuning, and measure authoring.

You think platform-first — you build solutions others can reuse, not just point fixes. You raise the bar on documentation, interpretability, and maintainability. You operate well in mid-transition environments where legacy and modern patterns coexist. You use AI tools as leverage for design, code review, and documentation, with critical judgement.

Azure Databricks certifications are a must. A formal degree is beneficial but strong experience and evidence of impact carry equal weight.

NFS is an equal opportunity employer. We welcome applications from all qualified candidates.