Mid-SR Data Engineer - Maltese Bank - immediate need

Data Engineer (Mid–Senior) — Microsoft Fabric & Power BI Location: Remote within Europe (occasionally in Maltese time, CET) · Employment type: Full-time Department: Data & Analytics · Reports to: Head of Data / BI Lead ________________________________________ About FinXP FinXP is an award-winning European payments and banking services provider headquartered in Naxxar, Malta. Founded in 2014, we are licensed as an Electronic Money Institution (EMI) by the Malta Financial Services Authority (MFSA), enabling businesses across Europe and beyond to make and receive payments easily . Our portfolio spans Euro IBAN accounts, card issuing, SEPA Direct Debit, cross-border payment and payout solutions, clearing services, and an omnichannel payment gateway FinXP – LinkedIn. As we scale our data platform, we're investing in Microsoft Fabric as the backbone of our reporting, analytics, and BI. We're looking for a hands-on data engineer to design, build, and own the pipelines and semantic layers that power decisions across the business — from treasury and risk to finance and operations. The Role As our Data Engineer (Mid–Senior), you'll own the data platform roadmap on Microsoft Fabric end-to-end: ingestion, transformation, modelling, and delivery of trusted data into Power BI. You'll work autonomously, set engineering standards, and collaborate closely with our BI Analyst, product teams, and stakeholders to turn raw payment and financial data into reliable, actionable insight. This is a remote-first role open to candidates anywhere in Europe, working CET-aligned hours with occasional overlap flexibility. What You'll Do • Review, evaluate and make recommendations of ou medallion architecture (Bronze / Silver / Gold) in Microsoft Fabric — OneLake, Lakehouses, and Warehouses. • Review and improve ELT/ETL pipelines using Fabric Data Factory (pipelines, Copy Activity) and Dataflows Gen2, including incremental loads, error handling, and monitoring. • Model data for analytics: dimensional models, star schemas, and semantic models optimized for Direct Lake and Power BI (DAX, row-level security, performance tuning). Deep-dive into Microsoft Fabric components to keep the technology current. • Maintain high data quality, lineage, and governance (sensitivity labels, access control) appropriate for a regulated payments environment. • Document pipelines, data dictionaries, and standards so the BI team and future engineers can build on your work. • Mentor on data engineering best practices; help define tooling and coding standards. Must-Have • 3+ years in data engineering / BI engineering roles, with at least 1–2 years hands-on in Microsoft Fabric (OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Direct Lake). • Strong Power BI expertise: semantic models, DAX, performance tuning, RLS. • Advanced SQL (T-SQL) and experience with Delta Lake / Parquet, incremental load patterns, and pipeline orchestration. • Solid understanding of data modelling (Kimball, star schemas) and modern data platform architecture. • Experience bringing real operational workloads to production: CI/CD for data, monitoring, alerting, and recovery. • Fluent English; excellent communication with both technical and non-technical stakeholders. Nice-to-Have • Azure cloud skills (ADLS, ADF, Databricks, Entra ID) — a plus, not required. • Financial or payments data experience — a huge plus: familiarity with transactional data, reconciliation, FX, fees/settlements, or bank/payment reporting. • Experience in regulated environments (PSD2/EMD, GDPR, PCI-DSS awareness). • Python/PySpark in Fabric notebooks; dbt; CI/CD (Azure DevOps or GitHub Actions). What We Offer • Fully remote across Europe, CET working hours, flexible working culture. • Ownership of a greenfield-ish data platform transition with real executive visibility. • Opportunities to grow into a lead/senior data role as the team expands.