Senior Data Engineer - Finance Data & AI Pipelines

WP Engine

Polska

On-site

PLN 224,000 - 308,000

Full time

3 days ago
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Benefits offered by this job

Health Benefits (LuxMed Premium Rehab)
Pension Scheme with a match
Company Stock Options
Life Insurance, 100% premium paid byWP
Free Multisport Card
Short-Term Disability & Sick Leave: 33
Employee Assistance Program
Generous Vacation Time
1 floating holiday
4 Company Wellness Days
Home Office Stipend
Education opportunities

Job summary

WP Engine is seeking a Senior Data Engineer to join the Data Engineering organization, leading the domain-centric Finance data work. You will design and evolve dimensional models, own grain/history, and drive multi-sprint data initiatives across Finance, BI, and analysts.

You’ll build pipelines in Python/Go on a Kubernetes-based ETL platform, land data into BigQuery, and apply agentic AI tools like Claude Code with strong ownership of quality and reliability.

Qualifications

  • 5+ years of experience in data engineering, analytics engineering, or a closely related role.

Responsibilities

  • Design, build, and evolve the dbt models in our Unified Analytics Model (UAM) that turn raw financial and billing data into clean, tested, well-documented assets - owning grain, conformance, historical tracking, and the modeling standard the rest of the team follows.
  • Write and optimize complex SQL for transformation, validation, reconciliation, and troubleshooting across large datasets.
  • Design, build, and maintain end-to-end data pipelines that extract data from source systems and load it into BigQuery, writing ETL jobs on a Kubernetes-based platform.
  • Monitor pipelines and respond to alerts using data observability tooling, performing root cause analysis and implementing durable fixes.
  • Lead the delivery of multi-sprint data initiatives across the team: scope the problem, break it into technical work, sequence it, and see it through to production.
  • Partner directly with Finance system owners, BI, analysts, and product managers to turn reporting requirements into reliable data solutions.
  • Build reconciliation and validation into what you ship, so that published financial assets can be traced and defended against the source system of record.
  • Maintain high-quality metadata across pipeline outputs and data models, ensuring assets are well-documented and discoverable.
  • Raise the bar in code review - on correctness, modeling quality, testing, and readability - and mentor engineers on the team through it.
  • Use agentic development tools such as Claude Code as part of your daily workflow, applying good engineering judgement to what they produce.
  • Contribute to documentation, runbooks, ADRs, and internal knowledge sharing, and participate in team ceremonies.

Skills

dbt models
SQL expertise
Data modeling
ETL/ELT pipelines
Python
Go
BigQuery
Docker
Git & CI/CD
Claude Code

Tools

Claude Code
Docker
Kubernetes
Go
Python
CI/CD tooling

Job description

WP Engine is seeking a Senior Data Engineer to join the Data Engineering organization, leading the domain-centric Finance data work. You will design and evolve dimensional models, own grain/history, and drive multi-sprint data initiatives across Finance, BI, and analysts.

You’ll build pipelines in Python/Go on a Kubernetes-based ETL platform, land data into BigQuery, and apply agentic AI tools like Claude Code with strong ownership of quality and reliability.

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