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(Senior) Analytics Engineer (m/f/d)

Be our next roadsurfer! 

We’re looking for a (Senior) Analytics Engineer (m/f/d) to help build a reliable, scalable data foundation that powers decisions across our organization. You’ll work at the intersection of data engineering and analytics, transforming raw data into clean, modeled datasets that support Marketing, Product, Operations, and beyond.

WHY ROADSURFER?

  • TEAM SPIRIT & TEAM EVENTS: Look forward to a collegial atmosphere with flat hierarchies, lots of fun and great team spirit, as well as regular team events such as joint sports sessions, pizza & beer evenings, etc.

  • FLEX WORK & WORKATION: You are flexible in terms of working hours. Our Flex Work Policy enables you to switch between office days and home office days and work from abroad in Europe for one month per year

  • PERSONAL DEVELOPMENT: We support your personal and professional development through an individual Growth Plan and our Inhouse Academy

  • CAMPER BUDGET: You get an annual camper budget to experience the #happyroadsurfing lifestyle for yourself

  • DISCOUNTS: Use our Corporate Benefits Platform, the Travel Industry Card and Family & Friends Discounts

OUR DATA TEAM

  • Our strategic leader, who is responsible for aligning the company's strategies with our team's priorities through her knowledge and vision of the business.

  • The technical data leader, responsible for sizing the team, defining work dynamics to improve deliveries, looking after the career development of team members and defining data project roadmaps.

  • Data engineers, who help us integrate any new source into our Data Lake and structure our Data Warehouse.

  • Analytics engineers, who master our dashboards, grow our Data Warehouse with data quality, applying all the business logic to our raw data.

THE ROLE - YOUR PASSION

Developing and Maintaining Data Pipelines:

  • Design, implement, and optimize data pipelines using tools such as Fivetran and DBT.

  • Ensure data quality and integrity throughout the ETL process.

  • Develop and maintain scalable data infrastructure on Google Cloud BigQuery

  • Implement and maintain CI/CD practices for data workflows to ensure reliable and automated deployment of pipeline changes.

Datawarehouse (DWH) Integration and Management:

  • Lead the integration of data from various sources into a DWH and reverse ETL pipelines.

  • Manage and optimize the flow of customer data across systems to ensure efficient data processing and storage.

  • Develop strategies for leveraging the DWH to create a unified and actionable customer view.

Collaboration and Stakeholder Engagement:

  • Work closely with business stakeholders to understand their data needs and translate them into technical requirements.

  • Provide actionable insights and recommendations through clear and concise communication of complex data engineering results.

  • Guide stakeholders in implementing data-driven strategies and solutions.

Supporting Team Members:

  • Conduct peer reviews of code and data engineering approaches to ensure best practices and knowledge sharing.

  • Mentor junior data engineers and analysts, providing guidance on technical challenges and career development.

Fostering a Data-Driven Culture:

  • Develop and deliver training sessions on data engineering topics, tools, and best practices to enhance data literacy across the organization.

  • Promote the use of modern data engineering tools and methodologies in decision-making processes through workshops, seminars, and other educational activities.lf-sufficient in getting the answer to their business questions by themselves

WHAT YOU NEED TO SURF THE WAVE WITH US

Educational Background:

  • You have successfully completed a bachelor’s degree, preferably in engineering, physics, informatics, computer science, or other STEM-related areas.

Professional Experience:

  • You have several years of relevant experience as a data engineer, with a strong focus on building and maintaining data pipelines and infrastructure.

  • You have a proven track record of working extensively with Segment and Customer Data Platforms.

Technical Skills:

  • You have advanced proficiency in SQL for data extraction and manipulation

  • You are skilled in using Python for data engineering tasks and automation.

  • You have extensive experience with cloud-based data warehousing solutions, particularly Google Cloud BigQuery.

Analytical and Decision-Making Abilities:

  • You are adept at making data-driven decisions and guiding stakeholders to achieve optimal strategies based on actionable insights.

  • You possess strong problem-solving skills and the ability to translate complex data engineering challenges into clear, actionable solutions.

Communication Skills:

  • You are business fluent in English, both written and verbal.

  • You can effectively communicate technical concepts to non-technical stakeholders and collaborate with diverse teams.

READY TO SURF?

We are looking forward to your application! If you have any questions, please drop a message to our recruiting team via: team@roadsurfer.com.

ABOUT #ROADSURFER

We are more than Europe's largest campervan rental company. In 2021 we launched our platform roadsurfer spots in addition to our other products rent, abo and sales – a platform where you can discover and book unique camping spots. But that’s only the beginning. We are growing fast, so hop on board and join us on our journey. The roadsurfer philosophy is simple: rent an RV, start your adventure, be happy. Come ride the wave with us!

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CEO of roadsurfer
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Markus Dickhardt
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What You Should Know About (Senior) Analytics Engineer (m/f/d), roadsurfer

Join Roadsurer as a (Senior) Analytics Engineer (m/f/d) and take your career to new heights in a vibrant and dynamic environment! You’ll be at the heart of our data-driven strategies, helping to build a robust data foundation that empowers critical decision-making across various departments, including Marketing, Product, and Operations. Your role involves designing, implementing, and optimizing data pipelines, ensuring quality and integrity while utilizing cutting-edge tools like Fivetran and DBT. Collaborating closely with business stakeholders, you will transform complex data into actionable insights, fostering a culture of data literacy within our organization. As a mentor, you’ll guide junior team members in mastering data engineering best practices, ensuring a supportive and forward-thinking team atmosphere. Plus, with our Flex Work Policy, you can enjoy the freedom to choose your work environment, whether from the comfort of your home or a beautiful destination abroad. You’ll also have access to continuous personal and professional development through our Inhouse Academy. If you're passionate about using your analytical skills to steer a growing company toward success, we can’t wait to hear from you!

Frequently Asked Questions (FAQs) for (Senior) Analytics Engineer (m/f/d) Role at roadsurfer
What are the main responsibilities of a (Senior) Analytics Engineer at Roadsurer?

As a (Senior) Analytics Engineer at Roadsurer, your primary responsibilities include designing and optimizing data pipelines, ensuring data quality during the ETL process, and maintaining scalable data infrastructure, particularly on Google Cloud BigQuery. You will be responsible for integrating data from various sources into our Data Warehouse and collaborating with business stakeholders to translate their data needs into technical requirements.

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What qualifications are required for the (Senior) Analytics Engineer position at Roadsurer?

To qualify for the (Senior) Analytics Engineer position at Roadsurer, candidates should possess a bachelor’s degree in a STEM-related field and have several years of relevant experience in data engineering. A strong proficiency in SQL and Python is essential, along with experience in cloud-based data warehousing solutions, particularly Google Cloud BigQuery.

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How does the Flex Work Policy benefit (Senior) Analytics Engineers at Roadsurer?

Roadsurer’s Flex Work Policy allows (Senior) Analytics Engineers to switch between office and home working days, providing the flexibility to work from anywhere in Europe for up to a month each year. This flexibility promotes a balanced work-life experience, enabling you to thrive both personally and professionally.

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What opportunities for personal development are available for (Senior) Analytics Engineers at Roadsurer?

At Roadsurer, (Senior) Analytics Engineers benefit from tailored Growth Plans and access to our Inhouse Academy, offering continuous learning opportunities. This commitment to personal development ensures that you stay ahead of industry trends and improve your technical skills while advancing your career.

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What tools will a (Senior) Analytics Engineer use at Roadsurer?

In your role as a (Senior) Analytics Engineer at Roadsurer, you will leverage a variety of tools including Fivetran, DBT, and Google Cloud BigQuery to design and optimize data pipelines. Mastery of these tools will help ensure a seamless integration and management of data across various platforms.

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Common Interview Questions for (Senior) Analytics Engineer (m/f/d)
Can you describe your experience with data pipeline design and optimization?

In answering this question, focus on specific projects where you designed data pipelines and the tools you utilized, such as Fivetran or DBT. Highlight key challenges you faced, how you optimized performance, and the results that benefited the organization.

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How do you ensure data quality during the ETL process?

Discuss your methods for maintaining data integrity, perhaps mentioning automated tests, monitoring tools, or validation processes you implement to catch errors early in the ETL pipeline.

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What strategies do you use to collaborate with non-technical stakeholders?

Explain your approach to translating complex technical concepts into clear, accessible information for stakeholders. You might mention successful past experiences or communication techniques that have facilitated collaboration.

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Describe your experience with Google Cloud BigQuery.

Provide details about specific projects where you utilized Google Cloud BigQuery, emphasizing your familiarity with its features and how you capitalized on them to drive insights and efficiency.

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How do you approach mentoring junior team members?

Share your philosophy on mentorship and specific instances where you provided guidance or support to less experienced colleagues. Highlight your commitment to fostering their professional growth.

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Can you give an example of a successful data-driven decision you've influenced?

Present a specific scenario where your analytical work led to actionable insights that impacted business decisions positively. Be sure to include the data you analyzed and the outcomes achieved.

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What role do you think a data engineer plays in shaping business strategy?

Articulate your understanding of how data engineers provide the foundations for data-driven decision-making, emphasizing the importance of accurate data in strategic planning.

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How do you stay updated with the latest trends in data engineering?

Discuss your methods for continuous learning, such as attending webinars, participating in forums, or pursuing certifications that keep you informed about new technologies and methods.

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What challenges have you faced in data integration, and how did you overcome them?

Share specific challenges you've encountered with data integration, such as handling discrepancies or managing different data formats, and provide insights into your problem-solving process.

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Why do you want to work as a (Senior) Analytics Engineer at Roadsurer?

Express your passion for the company’s mission and culture. Highlight what excites you about the role and how your skills align with Roadsurer's vision for data analytics and engineering.

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Full-time, remote
DATE POSTED
April 14, 2025

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