Level

Wolt

Manager - Tax Data Analytics Engineer

AI in this role

claudecursor

About Wolt

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

We are looking for an experienced Data Analytics Engineer to join our growing Tax Data Mart team. This role will be a key contributor to the team and will be responsible for building the tax data operations function for our Deliveroo and Wolt legal entities.  This includes building and operating the data pipelines and infrastructure that power tax analytics and support decision-making across the company.

As DoorDash continues to grow its global footprint across multiple business lines, we are looking for a candidate with experience working with Tax teams to gather requirements, and designing scalable data processes to support them.. This person will grow our unique community via your blend of tax, data technology, and process improvement experience.

About the Role

You will be reporting to the Senior Manager of Tax Data & Operations, and play an integral role in DoorDash’s data function, owning the processes for ingesting, transforming, and controlling our data, ensuring accuracy, and making it available to analytics and business users.

As a member of this team, you will lead the design, implementation, and operation of data pipelines and related processes to support the Company’s exponential growth.

What you’ll be doing

  • Lead the collection of Tax Data and Reporting requirements through close relationships with Tax team counterparts
  • Design, build, and maintain scalable, reliable data pipelines (ETL/ELT) that serve data across the company
  • Develop and optimize data models and warehouse structures to support analytics and reporting
  • Participate in new business initiatives and identify their impact on existing data system(s) and processes.
  • Work closely with Analytics, Data Science, and business partners in the development and validation of new data sources.
  • Identify and document business, functional and technical requirements to support new business initiatives and to enhance existing system functionality.
  • Leverage AI & AI assisted tooling to build and automate recurring data tasks & pipelines.
  • Monitor data quality, reliability, and observability, and resolve data-related issues for our internal business partners.
  • Participate in defining the Company’s data tooling needs, including the maintenance of existing systems.
  • Prepare documentation related to our data systems and processes.
  • Share knowledge and best practices with engineers and analysts across the team.

Our humble expectations

  • You have 7+ years of experience in a Tax data & technology or similar role.
  • Experience using Data Build Tool (DBT) or a similar product to manage data flows.
  • Experience using Claude, Cursor and similar AI tools.
  • You are an expert at using SQL with experience using Snowflake.
  • Proficiency in Python (or a comparable language) for building data pipelines.
  • Experience with modern data stack and orchestration tools such as Airflow, Spark, or Kafka.
  • You have strong attention to detail and analytical, organizational, and problem-solving skills.
  • You’re an independently motivated person with a proven ability to manage multiple projects and prioritize work independently.
  • You have excellent written and verbal communication skills.
  • Project management experience, including creation of project plans, milestones, and due dates.
  • Computer Science, Information Technology, Engineering, or a related degree.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

How we rate this

Manager - Tax Data Analytics Engineer at Wolt rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

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Skills and AI tools this role asks for

ClaudeCursor

Questions you could be asked

  1. What's a project where you used Claude hands-on?
  2. Walk me through how you've used Cursor in your day-to-day work.

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  • List these exact terms on your resume: Claude and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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