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Wolt (part of DoorDash) is seeking an experienced Manager - Tax Data Analytics Engineer to lead the Tax Data Mart team. You will report to the Senior Manager of Tax Data & Operations and play an integral role in building and operating the data pipelines and infrastructure that power tax analytics across Wolt and Deliveroo legal entities.
In this role, you will lead the design, implementation, and operation of scalable data pipelines and processes to support the company's exponential global growth across 500+ cities in 30 countries. You will own the end-to-end data function, including ingestion, transformation, and data quality control, ensuring accuracy and availability for analytics and business users.
Key responsibilities include:
- Leading collection of tax data and reporting requirements through close partnerships with tax team counterparts
- Designing, building, and maintaining scalable, reliable ETL/ELT data pipelines
- Developing and optimizing data models and warehouse structures to support analytics and reporting
- Participating in new business initiatives and assessing their impact on existing data systems
- Working closely with analytics, data science, and business partners on new data sources and validation
- Identifying and documenting business, functional, and technical requirements for new initiatives
- Leveraging AI and AI-assisted tooling to build and automate recurring data tasks and pipelines
- Monitoring data quality, reliability, and observability; resolving data-related issues for internal partners
- Participating in defining the company's data tooling needs and maintaining existing systems
- Preparing documentation for data systems and processes
- Sharing knowledge and best practices across the engineering and analytics team
Requirements:
- 7+ years of experience in tax data & technology or similar roles
- Experience with Data Build Tool (DBT) or similar products for managing data flows
- Experience using Claude, Cursor, and similar AI tools
- Expert-level SQL proficiency with Snowflake experience
- Proficiency in Python or comparable language for building data pipelines
- Experience with modern data stack and orchestration tools (Airflow, Spark, Kafka)
- Strong attention to detail with analytical, organizational, and problem-solving skills
- Proven ability to independently manage multiple projects and prioritize work
- Excellent written and verbal communication skills
- Project management experience including creation of project plans, milestones, and timelines
- Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
