Senior Data Engineer

🕒 il y a 26 jours

🇵🇱 Pologne – Télétravail

💵 zł224 000 - zł308 000 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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WP Engine

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2010

☁️ SaaS

🤝 B2B

SaaS • B2B • Technology

WP Engine est une entreprise spécialisée dans la fourniture d'expériences numériques et de solutions technologiques pour WordPress. Elle met l'accent sur une forte culture d'entreprise basée sur des valeurs fondamentales de diversité et d'inclusivité, permettant aux employés d'être authentiques au travail. Présente dans le monde entier, notamment à Austin, Londres et Brisbane, WP Engine offre des opportunités de télétravail et investit dans la croissance et le développement de ses employés. Elle est fière d'être reconnue comme un excellent lieu de travail par de nombreux prix et propose une gamme d'avantages, tels que des options sur actions et des allocations bien-être. WP Engine se concentre sur l'innovation et la satisfaction client.

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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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