3 дня назад
Senior Data Engineer (dbt/BigQuery)
224 000 - 308 000PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (dbt/BigQuery): Building and evolving financial data models and ingestion pipelines that transform billing, payment, and finance data into trusted reporting assets with an accent on dimensional modeling, reconciliation, and data reliability. Focus on designing dbt models, optimizing complex SQL, operating Kubernetes-based ETL pipelines, and leading cross-team initiatives with AI-assisted development tools.
Location: WFH in Poland, Krakow
Base salary: PLN 224,000–308,000 per year
Company
is a global WordPress technology company providing platforms, tools, and services for WordPress, eCommerce, and headless websites and applications.
What you will do
- Design, build, and evolve dbt models in the Unified Analytics Model for financial and billing data.
- Define data grain, conformed dimensions, historical tracking, reconciliation, validation, and documentation standards.
- Build and maintain Python-based ETL pipelines running on a Kubernetes-based platform and loading data into BigQuery.
- Write and optimize complex SQL, monitor pipelines, investigate incidents, and implement durable fixes.
- Lead multi-sprint technical initiatives and collaborate with Finance system owners, BI, analysts, and product managers.
- Use AI-assisted development tools such as Claude Code while reviewing, testing, and owning all generated code.
Requirements
- 5+ years of experience in data engineering, analytics engineering, or a related role.
- Strong production experience with dbt, expert SQL skills, and deep expertise in dimensional and financial data modeling.
- Production experience building and maintaining ETL/ELT pipelines in Python, including monitoring, alerting, and root cause analysis.
- Hands-on experience with cloud data warehouses, preferably BigQuery, and familiarity with Docker, Git, branching, code review, and CI/CD.
- Experience with AI-assisted coding tools and the judgment to review and test their output.
- Ability to lead technical work across a team, communicate with finance stakeholders, and work in a distributed environment spanning multiple time zones and cultures.
Nice to have
- Experience with finance, accounting, billing, payments, SaaS revenue, subscriptions, month-end close, restatements, audits, or financial controls.
- Experience with Google Cloud Platform services beyond BigQuery, Go, Terraform, Monte Carlo, Fivetran, or data catalog and governance tools.
Culture & Benefits
- Health benefits, life insurance with premiums fully paid by , and a pension scheme with employer matching.
- Company stock options, Multisport Card, short-term disability coverage, and sick leave with full salary coverage for the first 33 days.
- Generous vacation time, one floating holiday, four company wellness days, and a home office stipend.
- Ongoing education through LinkedIn Learning, Workday Learning, and the Career Growth Portal.
- Distributed work environment supporting collaboration across time zones and cultures.
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