Senior Data Engineer

WP Engine

. Design, build, and evolve dbt models in the Unified Analytics Model to transform raw financial and billing data into clean, tested, documented assets .

Posted 10/14/2026full-timeRemote • PolandSenior💰 PLN 224,000 - PLN 308,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with a strong focus on dbt model development, SQL optimization, and building ETL/ELT pipelines. Proven ability to lead data initiatives, collaborate with cross-functional teams, and ensure data quality and reliability in financial contexts.

Highest-signal resume keywords

Dbt Model DevelopmentExpert SQL SkillsETL/ELT Pipeline DevelopmentGoogle BigQueryFinancial Data Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DbtSQLPythonData ModelingETLELTKubernetesDockerGitTerraform

Soft Skills

Excellent Communication SkillsLeadership Without AuthorityStrong OwnershipAccountabilityCollaboration

Tools & Technologies

Google Cloud PlatformCloud MonitoringClaude CodeMonte CarloFivetran

Industry Keywords

FinanceAccountingBilling OperationsSaaS RevenueSubscription Metrics

Tech Stack

Tools & technologies

BigQueryCloudDockerERPETLGoogle Cloud PlatformKubernetesPythonSQLTerraformGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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