Data Ii Analyst Engineer

October 17, 2026

Hybrid

Junior

Barcelona

Indeed

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English is required

Description

The role sits within the Marketplace Experience Data team of a local delivery platform operating in around 65 countries. Over the next 12–18 months the hire will help build data business teams can trust: solid SQL foundations, well-documented data models and validated outputs. The position is aimed at growing into an autonomous Analytics Engineer who can own small data products from start to finish.

Responsibilities

Support the development of reliable datasets, data models and analytical assets used by business and technical teams
Work with senior Analytics Engineers to translate business requirements into simple, well-defined data solutions
Write, test and maintain SQL transformations with a strong focus on quality, readability and documentation
Validate data outputs and ensure they are accurate, understandable and fit for purpose
Use AI tools where relevant to support your day-to-day work, always validating outputs before relying on them
Contribute to internal knowledge bases, documentation and best practices that help teams use data effectively
Collaborate with Business stakeholders, Product Managers and other Data teams to understand pain points and turn them into better data products
Grow into an autonomous Analytics Engineer capable of owning small data products end to end

Requirements

1–2 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
Solid understanding of data modelling fundamentals (joins, granularity, fact/dimension tables, entities, data quality, downstream consumption)
Practical experience using AI tools (ChatGPT, Copilot, Gemini or similar), understanding where they add value, where they fail, and how to validate their outputs
Strong analytical thinking and problem-solving mindset, with the ability to break down ambiguous problems into clear steps
Fluent English, with the ability to explain technical topics clearly to both technical and non-technical stakeholders
Proficiency in Python or another programming language, and hands-on experience with Git and collaborative engineering practices
Exposure to modern data stack tools (BigQuery, dbt, Looker) and understanding of APIs, data pipelines or workflow automation concepts
Interest in AI-enabled data products, responsible AI, data governance or the evolution of Analytics Engineering
Relevant internship, bootcamp, academic or personal project, or previous experience in a fast-paced product/tech/marketplace environment