Wolt - English

Manager - Tax Data Analytics Engineer

Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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 .

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Data Analysis Human Resources MySQL Operations Project Management Mid level

Likely questions

  1. Tell us about work you have done that is close to the Manager - Tax Data Analytics Engineer role.
  2. How would you approach your first 30 days at Wolt - English?
  3. Which of Data Analysis, Human Resources and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Manager - Tax Data Analytics Engineer role because I can bring practical experience in Data Analysis, Human Resources and MySQL, learn the team quickly, and contribute to the outcomes Wolt - English needs from this hire.

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