Senior Data Engineer

• Design, build, and evolve dbt models in the Unified Analytics Model to transform raw financial and billing data into clean, tested, documented assets
• Own model grain, conformance, historical tracking, and modeling standards
• Write and optimize complex SQL for transformation, validation, reconciliation, and troubleshooting
• Design, build, and maintain end-to-end pipelines loading source data into BigQuery
• Write ETL jobs running on a Kubernetes-based ingestion platform
• Monitor pipelines, respond to alerts, perform root cause analysis, and implement durable fixes
• Lead multi-sprint data initiatives by scoping problems, sequencing technical work, and delivering to production
• Partner with Finance system owners, BI, analysts, and product managers to turn reporting requirements into reliable data solutions
• Build reconciliation and validation into financial data assets
• Maintain high-quality metadata and documentation for human and AI-driven workflows
• Conduct code reviews and mentor engineers
• Use agentic development tools such as Claude Code in daily workflow
• Contribute to documentation, runbooks, ADRs, internal knowledge sharing, and team ceremonies

• 5+ years of experience in data engineering, analytics engineering, or a closely related role
• Strong production experience with dbt, including models, tests, macros, incremental strategies, and project structure
• Expert SQL skills across large datasets
• Deep data modeling expertise, including grain, conformed dimensions, fact design, slowly changing dimensions, point-in-time correctness, and normalization/usability trade-offs
• Experience building and maintaining production ETL/ELT pipelines utilizing Python, including monitoring, alerting, and root cause analysis
• Hands-on experience with a cloud data warehouse, preferably Google BigQuery, including cost and performance awareness
• Experience with containerization technologies such as Docker
• Fluency with Git and development workflows including branching, pull requests, code review, and CI/CD
• Experience with agentic development tools such as Claude Code or similar AI-assisted coding environments, with responsibility for reviewing, testing, and owning generated code
• Experience modeling financial data for company reporting, such as billing, subscriptions, invoicing, payments, or revenue
• Excellent written and verbal communication skills
• Ability to lead technical work across a team without formal authority
• Strong ownership and accountability for correctness and reliability
• Ability to work effectively within a distributed team spanning multiple time zones and cultures
• Domain knowledge in finance, accounting, billing operations, or SaaS revenue and subscription metrics
• Experience with ERP, billing, or payments platforms as data sources and with month-end close, period locking, and restatements
• Exposure to audit or control requirements around reported financial data
• Experience with Google Cloud Platform services beyond BigQuery, such as Cloud Monitoring, Kubernetes, or IAM
• Exposure to Go (Golang) for data pipelines or backend services
• Familiarity with Terraform
• Experience with data observability platforms such as Monte Carlo
• Experience with managed data ingestion tools such as Fivetran
• Experience with data catalog or data governance tools

• Health Benefits (LuxMed Premium Rehab + Dentistry III)
• Pension Scheme with a match
• Company Stock Options (Every employee is an owner in the company)
• Life Insurance, 100% premium paid by WP Engine
• Free Multisport Card - Light and Classic
• Short-Term Disability & Sick Leave: 100% salary coverage for the first 33 days
• Employee Assistance Program
• Generous Vacation Time
• 1 floating holiday
• 4 Company Wellness Days
• Home Office Stipend
• On-going education through LinkedIn Learning, Workday Learning and our Career Growth Portal