> Markdown version of [/jobs/ext/1933021-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/1933021-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** Qualifyze - **Location:** Madrid, Spain - **Salary:** €40,000.0 - €50,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Business Logic, Data Transformation, Data Structures, Database Queries, Python (Programming Language), Raw Data, Standard Sql, Large Language Models, Data Layers, Data Analytics, Looker Analytics - **Published:** August 5, 2026 - **Apply:** https://www.buscojobs.com.es/analytics-engineer-en-madrid-ID-365561427 ## About the Role Proven experience building and maintaining dbt models and metrics, and Marts and Gold/last?mile layers. Solid understanding of semantic layer concepts and BI consistency practices, ideally with hands?on experience in Looker or similar tools. A strong business logic mindset, able to understand what a metric means, not just how it is calculated, and to spot when something doesn't add up. Interest in or experience with agentic AI systems, including LLM?powered workflows and multi?agent architectures applied to analytics. Excellent collaboration and stakeholder communication skills, with the ability to work effectively across business and technical teams. A proactive, detail?oriented mindset with a passion for data quality, consistency, and continuous improvement. ## Description About Qualifyze Founded in ****, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally.Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts.With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all?in?one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.Role OverviewAs an Analytics Engineer, you will be at the forefront of scaling our analytics capabilities through robust data modeling, metric consistency, and AI?powered workflows.Your goal is to bridge the gap between raw data and business insight, collaborating with stakeholders to understand their needs, translating them into reliable data structures, and ensuring that the metrics powering our decisions and Investor Reporting are accurate, consistent, and trustworthy.You combine a deep understanding of business logic with the technical capability to build and maintain scalable internal data models and semantic layers.Main responsibilitiesMap, document, and evaluate current data models, metrics, and reporting flows.Critically evaluate existing definitions and assumptions, identify inconsistencies, and propose improvements that enable scalability and self?service analytics.Build and maintain metrics for Investor Reporting using dbt metrics, ensuring they are accurate, well?documented, and aligned with agreed business definitions.Support the modeling and maintenance of Marts and the last?mile Gold layer, contributing to a robust and scalable semantic layer that serves both operational and analytical use cases.Ensure consistency between metrics in Investor Reporting and in Looker, performing regular cross?checks and validations to guarantee a single source of truth.Perform data sanity checks from a business logic perspective to validate new data structures before they reach production, catching issues early and reducing downstream errors.Conduct ad?hoc analyses to support decision?making, unblock stakeholders, and surface actionable insights when needed.Help define and document business definitions, KPIs, and data processes to ensure a shared understanding across business and technical teams.Participate in projects involving agentic technologies applied to BI, including multi?agent implementations built with Claude and similar frameworks, innovate and expand what agentic analytics can deliver.Main requirementsStrong SQL skills and solid Python proficiency for data transformation, validation, and analytics workflows.Proven experience building and maintaining dbt models and metrics, and Marts and Gold/last?mile layers.Solid understanding of semantic layer concepts and BI consistency practices, ideally with hands?on experience in Looker or similar tools.A strong business logic mindset, able to understand what a metric means, not just how it is calculated, and to spot when something doesn't add up.Interest in or experience with agentic AI systems, including LLM?powered workflows and multi?agent architectures applied to analytics.Excellent collaboration and stakeholder communication skills, with the ability to work effectively across business and technical teams.A proactive, detail?oriented mindset with a passion for data quality, consistency, and continuous improvement.SalaryAt Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally.For this role, we're happy to share a reference point within the band: the expected salary range is around 40k - 50k €.Final compensation will depend on experience and performance during the process, with some flexibility within the range.What do we offer?Competitive, annually reviewed compensation packageCountry vacation package that increases with your tenureCountry specific benefits offering incl.private health care, fitness and meal allowancesAnnual personal development budget to increase your impactHybrid working mode, plus up to 3 months of the year work from anywhere.All the best kit and tools to work effectivelyAnnual in person all company event and celebration in EuropeWorking with an exceptional team, doing some of the best work of your careerAt Qualifyze we actively support the power of diversity, uniting complementary talents and perspectives to address new challenges.Our collective strengths help us to find innovative solutions and turn difficulties into opportunities.We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone belongs and feels heard.We are an equal opportunity employer and we welcome applications from candidates of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, marital status, religion, disability, or age.Our hiring practices are rooted in fairness and respect, and we strive to create a culture where everyone feels valued and empowered.#J-*****-Ljbffr ## Related Videos - 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