Senior Data Engineer — Enterprise Data Platform

As a Senior Data Engineer, you'll be part of the Technology Architecture team in Basware IT. You'll design and develop the foundations of our enterprise data platform, directly impacting analytics, platform development, and business decisions. Your work will help build resilient, compliant, and scalable infrastructure that enables fast and confident delivery of data products across the enterprise.

What You'll Do

• Design, implement, and maintain data pipelines and storage layers following a medallion architecture (landing → bronze → silver), operating as the enterprise tenant within our multi-tenant data platform and unified enterprise metastore
• Develop and operate pull-based data ingestion flows using Azure Data Factory and custom Python-based API connectors to land data from diverse enterprise source systems
• Build and maintain transformation pipelines with strong focus on data quality, lineage, and observability from landing zone through to consumption-ready layers
• Implement data security features including PII masking, tenant isolation, and retention policies in line with enterprise compliance requirements
• Collaborate with data product teams and enterprise stakeholders to drive self-service adoption and best practices
• Establish monitoring, alerting, and cost tracking integrations for pipeline operations
• Contribute to infrastructure as code and CI/CD practices for platform deployment and management

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What We're Looking For

• 5+ years of experience building scalable, maintainable, and self-service data solutions
• Strong background in batch and streaming pipeline design, orchestration, and schema management
• Hands-on experience with Databricks (Unity Catalog, Delta Lake), Apache Spark, and Python/SQL
• Experience with Azure cloud services, particularly Azure Data Factory, Azure Data Lake Storage (ADLS), and related data integration tooling
• Deep understanding of data quality validation and monitoring frameworks
• Familiarity with medallion architecture patterns and layered data processing
• Excellent collaboration skills across engineering, product, and enterprise stakeholder teams
• Proven ability to write clean, maintainable, and well-structured code
• Strong problem-solving mindset
• Demonstrated experience with AI-assisted coding: spec-driven development, systematic validation of AI-generated output (functional and technical), and a controlled-adopter approach — AI amplifies productivity, the human owns every line that ships.

We highly value candidates who demonstrate curiosity, a proactive mindset and a willingness to explore and incorporate AI-driven technologies into their work. We encourage growth in this area and provide opportunities for experimentation and learning.

Nice to Have

• Experience with infrastructure as code (Terraform or similar) and CI/CD pipelines (e.g. GitHub Actions, Azure DevOps)
• Familiarity with multi-tenant data architectures, catalog-level isolation, and enterprise data governance
• Experience building or integrating pull-based ingestion patterns from APIs, ERPs, or other enterprise systems
• Exposure to Databricks Asset Bundles (DABs) or similar deployment frameworks