Senior Data & AI Platform Engineer

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Spearhead hands-on Microsoft Fabric architecture implementation encompassing lakehouse, warehouse, notebooks, semantic models, Git-backed delivery, and production governance.

• Facilitate the transition from legacy reporting and metric tools to a governed Fabric semantic layer, which includes parity testing, stakeholder approval, and secure decommissioning.

• Take ownership of and enhance data pipelines that span APIs, files, events, and operational stores.

• Develop and maintain robust orchestration, monitoring, alerting, data-quality verification, and incident response protocols.

• Leverage AI and automation to expedite ETL/ELT development processes, data mapping, documentation, testing, report generation, monitoring, and data-quality management.

• Design Power BI semantic models, DAX measures, and reusable metric definitions for areas including leadership, finance, commercial, product, marketing, payments, and support reporting.

• Assist with CRM and operational data integrations, which encompass outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns, and monitoring activities.

• Establish dependable ingestion and modeling methodologies for acquired enterprises.

• Set data-engineering standards that define the criteria for ready/done, code review, release discipline, documentation, runbooks, and platform change governance.

• Guide engineers and analysts, translating critical business data needs into effective technical solutions.

• Create automated reporting and insight-generation capabilities that minimize manual analysis and enhance decision-making speed.

⛳️ Requirements

• A minimum of 6 years of experience in modern data warehousing, analytics engineering, or data platform engineering, preferably within a SaaS, marketplace, fintech, payments, e-commerce, or multi-region B2B2C setting.

• Strong proficiency in Microsoft Fabric or extensive experience with Azure Synapse / Databricks, demonstrating the ability to quickly specialize in Fabric.

• Expertise in SQL/T-SQL along with solid skills in Python or PySpark.

• Proven history of constructing maintainable ELT/ETL pipelines and analytical data models.

• Strong background in Power BI and DAX, including semantic modeling, incremental refresh, performance optimization, model governance, and capacity/cost awareness.

• Experience in leading migrations from legacy to modern data platforms, covering metric parity, stakeholder validation, change control, and safe decommissioning.

• Familiarity with operating production data systems: monitoring, alert design, incident triage, root-cause analysis, data-quality assurance, lineage, and runbooks.

• Comfortable working with Git-based data engineering workflows, including pull requests, release discipline, and standards for notebooks, pipelines, and semantic model modifications.

• Hands-on experience utilizing AI or automation to enhance data engineering, reporting, documentation, testing, monitoring, migration, or developer productivity.

• Strongly preferred experience in payments, settlement, reconciliation, fees, chargebacks, merchant reporting, or finance-related data.

• Strongly preferred experience with CRM-side data flows and reverse-ETL patterns, particularly with HubSpot, Salesforce, Zendesk, or similar platforms.

• Strongly preferred experience with M&A or data integrations from acquired companies.

• Strongly preferred experience in NoSQL-to-analytics modeling.

• Strongly preferred experience with GA4, BigQuery export, Google Ads / SEM feeds, Segment, or other event and marketing analytics sources.

• Strongly preferred experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management, or AI-assisted development workflows.

• Strongly preferred experience in building AI-generated reporting, natural-language analytics, business copilots, automated insight generation, or merchant/customer intelligence tools.

• Strongly preferred experience in responsible AI and governance practices, including RBAC, PII handling, audit logs, human approval processes, explainability, and GDPR-sensitive design.

🏝️ Benefits

• Fully remote work arrangement.