Senior Data Engineer

Job not on LinkedIn

🔥 1 hour ago

🇵🇱 Poland – Remote

💵 zł224k - zł308k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WP Engine

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

☁️ SaaS

🤝 B2B

SaaS • B2B • Technology

WP Engine is a company that specializes in providing WordPress digital experiences and technology solutions. They emphasize a strong company culture based on core values of diversity and inclusivity, allowing employees to bring their authentic selves to work. With locations across the globe, including Austin, London, and Brisbane, WP Engine offers remote working opportunities and invests in employee growth and development. They pride themselves on being a great workplace as recognized by numerous awards and provide a range of benefits, such as stock options and wellness allowances. WP Engine focuses on innovation and customer satisfaction.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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