Data Analytics Engineer (They/She/He)

Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 65 countries worldwide. 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.

You will join Data Platform Enablement, the central team responsible for maintaining and governing Glovo's data tools, defining data governance standards and automating the processes that keep our data ecosystem trustworthy and efficient.

This is a role for someone technical, ambitious and independent who wants to grow by taking on increasingly complex governance, automation and support work, while getting real experience delegating to and mentoring junior team members.

THE JOURNEY

In your first months, success will mean:

Over time, you will grow towards owning small data products independently and contributing to AI-enabled data initiatives with increasing autonomy.

IMPORTANT NOTE

This is not a pure AI Engineer role.

This is an Analytics Engineer I role within Data Enablement, with an expectation that the person will progressively develop AI competencies as part of the natural evolution of Analytics Engineering.

We believe AI will increasingly become part of how data teams work, but the foundation remains the same: trusted data, strong engineering practices, business understanding and responsible delivery.

WE BELIEVE DRIVEN TALENT DESERVES

Additional Information

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!

At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life?

Delve into our culture by taking a peek at our Instagram and check out our LinkedIn and website!

• 2-3 years of hands-on experience in Analytics Engineering, Data Analytics, BI, Data Engineering or a similar technical data role.
• Strong SQL foundations, with the ability to independently write, debug and optimise analytical queries.
• Working proficiency in Python to support data analysis, automation and workflow improvements.
• Hands-on experience with Git/GitHub and collaborative engineering practices (pull requests, code reviews, version control).
• Practical experience leveraging LLMs and/or automation tools (n8n, Make, APIs) to streamline processes.
• An ambitious and independent mindset, comfortable owning well-scoped tasks, while still developing towards fully independent end-to-end project ownership.
• English proficiency: Good communication in English, with the ability to explain technical topics clearly to technical and non-technical stakeholders alike.
• Exposure to Google Cloud Platform, infrastructure/cost monitoring or governance.
• Exposure to Looker or other modern BI tools; interest in conversational analytics.
• Interest in mentoring, delegating or project management, as a possible path towards people leadership.