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Senior Analytics Engineer

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are on the lookout for  a highly skilled and experienced Senior Analytics Engineer to join our International Sales & Revenue Data Team on our journey to always deliver amazing experiences.

 In this role, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.

As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact.

 

Key Responsibilities:

  • Data Modeling and Development:

    • Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt.

    • Ensure data is structured to support self-service analytics and business intelligence.

    • Optimize query performance and data processing efficiency.

  • Collaboration and Stakeholder Management:

    • Work closely with data engineers to define data requirements and enhance ETL pipelines.

    • Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.

    • Translate business logic into reusable, standardized data models.

  • Data Quality & Governance:

    • Implement and enforce data quality best practices to ensure accuracy and consistency.

    • Monitor data integrity and troubleshoot data issues proactively.

    • Advocate for best practices in documentation, testing, and version control.

  • Tooling & Automation:

    • Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms.

    • Automate data validation and reporting processes.

    • Contribute to improving internal data tooling and workflows

  •  

Qualifications

  • 3+ years of experience in data engineering, analytics engineering, or a related field.

  • Strong proficiency in Python, SQL and experience with dbt for data modeling.

  • Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift).

  • Familiarity with version control (Git) and CI/CD practices for data workflows.

  • Understanding of data engineering principles, including ETL/ELT processes.

  • Ability to collaborate cross-functionally with data engineers, analysts, product and business teams.

  • Strong problem-solving skills and attention to detail.

 

Nice to have

 

  • Knowledge of orchestration tools like Airflow.

  • Familiarity with data visualization tools (e.g., Looker, Tableau) and their integration with analytics models.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

 

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service

  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.

  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

                 

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!


 

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

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What You Should Know About Senior Analytics Engineer, Delivery Hero

Join Delivery Hero as a Senior Analytics Engineer in Berlin, Germany, where exciting opportunities abound! In this pivotal role, you will be an integral part of our International Sales & Revenue Data Team. You’ll take raw data and transform it into well-structured, reliable models that empower analysts, data scientists, and business stakeholders to make informed decisions. Your collaboration with data engineers will be crucial in building scalable data pipelines that enhance our analytics capabilities. Your contributions will directly impact thousands of local businesses, helping them leverage advanced tools to manage operations and reach more customers. You will enjoy a vibrant work culture that emphasizes collaboration and innovation, as you design and maintain data models using SQL and dbt. Your efforts will ensure that our data is actionable and insightful, driving growth across our ecosystem. You’ll also play a vital role in implementing quality best practices to ensure accurate data management and governance. If you're ready to take the next step in your analytics career and thrive in a dynamic environment, then this position is for you! Join us at Delivery Hero to help us continue delivering extraordinary experiences every day, and be part of something greater than yourself.

Frequently Asked Questions (FAQs) for Senior Analytics Engineer Role at Delivery Hero
What are the responsibilities of a Senior Analytics Engineer at Delivery Hero?

As a Senior Analytics Engineer at Delivery Hero, your main responsibilities include designing, building, and maintaining scalable data models in SQL and dbt. You'll work closely with data engineers to optimize ETL pipelines while collaborating with analysts to ensure actionable insights from the data. Moreover, you will be vital in implementing data quality best practices and developing automation workflows that enhance our data processing capabilities.

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What qualifications are needed to become a Senior Analytics Engineer at Delivery Hero?

To qualify for the Senior Analytics Engineer role at Delivery Hero, candidates should have at least 3 years of experience in data or analytics engineering. Strong proficiency in Python and SQL is essential, along with experience in using dbt for data modeling. Familiarity with cloud-based data warehouses and a solid understanding of ETL processes are also critical for success in this position.

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What skills will help me excel as a Senior Analytics Engineer at Delivery Hero?

To excel as a Senior Analytics Engineer at Delivery Hero, strong problem-solving skills and meticulous attention to detail are crucial. Collaborative abilities, particularly in cross-functional teams, will drive success. Additionally, familiarity with orchestration tools like Airflow and data visualization tools such as Looker or Tableau will provide a significant advantage in this dynamic role.

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How does the team culture at Delivery Hero support Senior Analytics Engineers?

At Delivery Hero, the team culture supports Senior Analytics Engineers by fostering collaboration, creativity, and professional growth. With a hybrid working model and regular on-site gatherings at our Berlin campus, team members can connect and collaborate effectively. The company also invests in employee development through educational budgets and career growth opportunities, ensuring a collaborative and empowering work environment.

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What kind of projects will a Senior Analytics Engineer at Delivery Hero work on?

A Senior Analytics Engineer at Delivery Hero will work on various impactful projects, including building and optimizing data models for self-service analytics, enhancing reporting capabilities for business teams, and developing automated workflows that improve data processing efficiency. These projects will directly support thousands of local businesses, ultimately contributing to the growth of Delivery Hero's diverse ecosystem.

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Common Interview Questions for Senior Analytics Engineer
Can you explain your experience with SQL and how you have utilized it in past projects?

In discussing your experience with SQL, focus on specific projects where you've designed and optimized queries. Share examples of how you structured your queries to improve performance and reduced processing times. Highlight instances where your SQL expertise facilitated informed decision-making within teams.

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What is dbt and how have you used it to create data models?

When asked about dbt, explain its role in transforming raw data into reliable models. Discuss your experience using dbt to automate the data quality checks and modeling processes, ensuring your data is both accurate and actionable. Provide examples of projects where you employed dbt effectively.

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How do you ensure data quality and integrity in your analytics work?

Explain the importance of data quality in analytics, and detail the processes you implement to maintain it. Talk about routine checks, documentation practices, and proactive troubleshooting. Mention specific tools or methodologies you use to track and ensure data integrity over time.

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Describe a challenge you faced in your previous analytics work and how you overcame it.

Share a specific challenge related to data modeling or stakeholder collaboration. Detail the steps you took to analyze the situation, the solutions you implemented, and the outcome. This demonstrates your problem-solving skills and ability to adapt in a dynamic environment.

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What role do you think analytics plays in a company like Delivery Hero?

Discuss analytics as a critical component for decision-making and driving growth at Delivery Hero. Emphasize its importance in optimizing operations, improving vendor relationships, and enhancing customer experiences. Align your answer with examples from your experience to illustrate your understanding.

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Can you discuss your experience working with cloud-based data warehouses?

Share your background in using cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Highlight specific functionalities you leveraged, such as scalability, ease of access, and performance. Provide examples of how these tools enhanced your data processing capabilities.

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How have you collaborated with product teams in the past?

Illustrate your experience working cross-functionally with product teams. Share examples of how you communicated data needs, translated business logic into actionable insights, and used data to influence product direction. Collaboration is key, so emphasize teamwork dynamics.

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What strategies do you use for optimizing ETL processes?

Discuss your approach to optimizing ETL processes, including evaluating current data pipelines and identifying bottlenecks. Share successful strategies you’ve implemented to enhance data processing efficiency and how you measure those improvements using relevant KPIs.

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How do you stay updated on industry trends in data analytics and engineering?

Mention the resources you utilize to stay informed, such as blogs, webinars, online courses, and professional networks. Share specific instances where you've applied new knowledge or tools to your work, showcasing your commitment to continuous learning.

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What tools do you prefer for data visualization and why?

Identify your preferred data visualization tools, explaining why you find them effective. Discuss how these tools integrate with analytics models and support decision-making processes in analytics work you’ve done. Provide examples of specific visualizations you've created.

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Our mission is to deliver an amazing experience, fast, easy, and to your door.

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DATE POSTED
March 25, 2025

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