Senior Data Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, construct, and enhance dbt models within the Unified Analytics Model to convert raw financial and billing data into clean, well-documented, and tested assets.

• Take ownership of model grain, conformance, historical tracking, and modeling standards.

• Write and optimize complex SQL for transformation, validation, reconciliation, and troubleshooting purposes.

• Create, develop, and maintain comprehensive pipelines that load source data into BigQuery.

• Write ETL jobs that operate on a Kubernetes-based ingestion platform.

• Oversee pipeline operations, respond to alerts, conduct root cause analysis, and implement lasting solutions.

• Spearhead multi-sprint data initiatives by defining problems, sequencing technical tasks, and delivering results to production.

• Collaborate with Finance system owners, BI professionals, analysts, and product managers to translate reporting requirements into dependable data solutions.

• Integrate reconciliation and validation processes into financial data assets.

• Ensure high-quality metadata and documentation for both human and AI-driven workflows.

• Conduct code reviews and provide mentorship to engineers.

• Utilize agentic development tools like Claude Code in daily operations.

• Contribute to documentation, runbooks, architectural decision records (ADRs), internal knowledge sharing, and team ceremonies.

⛳️ Requirements

• A minimum of 5 years of experience in data engineering, analytics engineering, or a similar role.

• Proficient in dbt with extensive hands-on experience, including models, tests, macros, incremental strategies, and project organization.

• Advanced SQL skills capable of handling large datasets.

• Profound expertise in data modeling, including grain, conformed dimensions, fact design, slowly changing dimensions, point-in-time accuracy, and the trade-offs between normalization and usability.

• Experience in building and maintaining production ETL/ELT pipelines using Python, including monitoring, alerting, and performing root cause analysis.

• Practical experience with a cloud data warehouse, ideally Google BigQuery, with an understanding of cost and performance aspects.

• Familiarity with containerization technologies like Docker.

• Proficient in Git and development workflows, including branching, pull requests, code reviews, and CI/CD practices.

• Experience with agentic development tools such as Claude Code or similar AI-assisted coding environments, with accountability for reviewing, testing, and managing generated code.

• Experience in modeling financial data for corporate reporting, encompassing billing, subscriptions, invoicing, payments, or revenue.

• Outstanding written and verbal communication abilities.

• Capability to lead technical initiatives across a team without formal authority.

• Strong sense of ownership and accountability for accuracy and reliability.

• Ability to work effectively within a distributed team across various time zones and cultures.

• Domain expertise in finance, accounting, billing operations, or SaaS revenue and subscription metrics.

• Experience with ERP, billing, or payment platforms as data sources, along with familiarity with month-end close, period locking, and restatements.

• Awareness of audit or control requirements concerning 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 like Monte Carlo.

• Experience with managed data ingestion tools such as Fivetran.

• Familiarity with data catalog or data governance tools.

🏝️ Benefits

• Health Benefits (LuxMed Premium Rehab + Dentistry III)

• Pension Scheme with a matching contribution

• Company Stock Options (Every employee is a stakeholder in the company)

• Life Insurance, with 100% of the premium covered by WP Engine

• Complimentary Multisport Card - Light and Classic

• Short-Term Disability & Sick Leave: 100% salary coverage for the initial 33 days

• Employee Assistance Program

• Generous Vacation Time

• 1 floating holiday

• 4 Company Wellness Days

• Home Office Stipend

• Continuous education opportunities through LinkedIn Learning, Workday Learning, and our Career Growth Portal