Glovo
local delivery platform
AnalyticsEngineer-AI&DataEnablement
Neural analysis suggests this role is
optimal for mid candidates.
“Analytics Engineer - AI & Data Enablement at Glovo. Skills: Analytics Engineering, SQL, Python, AI literacy, data modelling. Support the development of reliable datasets, data models and analytical assets. Translate business requirements into data solutions”
What You'll Achieve.
building reliable data foundations; enabling the next generation of data products; make data more accessible, reliable and useful for business teams; contributing to initiatives involving AI-assisted workflows, data quality, documentation, automation support and GenAI-enabled data experiences; build trusted data assets; support the responsible use of AI in data work; Grow into an autonomous Analytics Engineer capable of owning small data products and contributing to AI-enabled data initiatives
Industry & Context.
analytical thinking and problem-solving mindset
What They're Looking For.
Must Have
1-2 years of experience in Analytics Engineering, Data Analytics, Data Engineering, BI, Computer Science, Engineering, Mathematics, Statistics or a related field, foundational knowledge of SQL, including joins, aggregations, filtering, date logic and basic query debugging, Basic understanding of data modelling concepts such as fact tables, dimensions, entities, joins, granularity and data quality, Proficiency in Python or another programming language for data work, automation or analysis, Hands-on experience with Git or similar collaborative software development practices, Above-average AI literacy: practical experience using AI or GenAI tools for coding, analysis, documentation, exploration or productivity, Clear understanding that AI-generated outputs need to be reviewed, validated and used responsibly, analytical thinking and problem-solving mindset, Ability to communicate clearly with both technical and non-technical stakeholders, High attention to detail and willingness to document your work properly, Good vibes, team player and hands-on attitude, Fluency in English
Nice to Have
Exposure to BigQuery, dbt, Looker or similar tools, Experience using AI tools in more advanced ways, such as prompt iteration, code review support, data exploration, workflow automation or output evaluation, Understanding of APIs, data pipelines or workflow automation concepts, Exposure to process improvement, automation, process intelligence or operational analytics use cases, Previous professional, internship, academic or personal project related to data, analytics or AI, Interest in responsible AI, data governance, privacy and quality
What You'll Do.
Support the development of reliable datasets
data models and analytical assets
Translate business requirements into data solutions
test and maintain SQL transformations
Validate data outputs
Apply AI literacy to Analytics Engineering use cases
Contribute to internal knowledge bases
documentation and best practices
Collaborate with stakeholders to understand pain points and opportunities
Learn and apply engineering best practices
Grow into an autonomous Analytics Engineer
How You'll Work.
Team & Collaboration
Work closely with Data Analysts, Product Managers, Business stakeholders and other Data teams; Collaborate with stakeholders to understand repetitive pain points, manual processes and opportunities; Collaborate with stakeholders to understand business requirements
Communication Scope
Ability to communicate clearly with both technical and non-technical stakeholders
Full Job Description
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. We are looking for an Analytics Engineer I to join Data Enablement, our team focused on building reliable data foundations and enabling the next generation of data products at Glovo. This is an entry-level role for someone who wants to grow in Analytics Engineering while developing strong foundations in AI-enabled data work. This is not a pure AI Engineer role, but we are looking for someone who is already AI-savvy and has practical experience using AI tools to improve their work. We expect the candidate to understand both the value and the limitations of AI-generated outputs. As part of DataX, you will help us make data more accessible, reliable and useful for business teams, while progressively contributing to initiatives involving AI-assisted workflows, data quality, documentation, automation support and GenAI-enabled data experiences. You will work closely with Data Analysts, Product Managers, Business stakeholders and other Data teams to understand problems, build trusted data assets and support the responsible use of AI in data work. You will: * Support the development of reliable datasets, data models and analytical assets used by business and technical teams. * Work with more senior engineers to understand business requirements and translate them into simple, well-defined data solutions. * Write, test and maintain SQL transformations with a strong focus on quality, readability and documentation. * Help validate data outputs and ensure they are accurate, understandable and fit for purpose. * Apply your existing AI literacy to real Analytics Engineering use cases, including prompt design, context ground
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