Analytics Engineer

As an Analytics Engineer at Deliveroo, your primary responsibilities include providing clean and well-documented datasets, working closely with product engineering teams to ensure proper data modeling, and maintaining SQL transformation scripts. You'll also collaborate with data scientists to present intuitive datasets in Looker and promote its adoption across the business.

To qualify for the Analytics Engineer role at Deliveroo, you should have over 5 years of experience in Analytics Engineering or related fields, excellent SQL skills, and a strong understanding of data warehousing and modeling concepts. Familiarity with cloud-based MPP data warehousing solutions like Snowflake is also essential.

In the Analytics Engineer position at Deliveroo, you will primarily work with tools like SQL for data transformation, Snowflake for data warehousing, and Looker for BI visualization. Your role will also require an understanding of version control and potentially Python for automation tasks.

As an Analytics Engineer at Deliveroo, you will be part of an analytics engineering team that collaborates closely with data scientists, product engineers, and other analytics professionals. This environment allows for a robust exchange of ideas and strategies to optimize data usage within the organization.

Analytics Engineers at Deliveroo enjoy a range of benefits tailored to enhance their well-being and work-life balance. From comprehensive healthcare to generous leave policies, including time off for charitable work, Deliveroo is dedicated to supporting its employees in various aspects of their lives.

When answering this question, highlight specific projects where you utilized SQL for data transformation or extraction. Emphasize any complex queries you wrote and how they contributed to deriving actionable insights.

Discuss the processes you implement for data validation, cleaning, and documentation. Mention any specific tools or methodologies used to maintain data integrity and provide examples of challenges overcome in previous roles.

Be prepared to explain any specific projects you've undertaken with Snowflake or similar technologies. Describe your familiarity with its functionalities and how you've leveraged it to improve data processing efficiency.

Share specific instances where you successfully collaborated across teams. Emphasize communication strategies and how you align goals and expectations when working with diverse groups.

Choose a relevant project that illustrates your skills in data modeling. Explain the problem, your approach to solving it, and the resulting outcomes, emphasizing the business impact.

Discuss your use of automation tools and practices, such as Python scripts or ETL processes, to improve efficiency and reduce manual errors in your daily tasks.

Be honest about a few challenges, emphasizing your problem-solving skills. Describe the situation, your thought process, and the solutions you implemented.

Mention any resources, communities, or events that you follow or participate in. Highlight the importance of continuing education and staying ahead in a fast-evolving field.

Define the essential stages of a data pipeline, including data ingestion, processing, storage, and analysis. Provide specific examples of how you've implemented these components in your work.

Convey your passion for data and technology, as well as excitement about Deliveroo's mission. Discuss how you believe this position aligns with your skillset and career goals.