Descripción de la oferta
Job-ID: 724539ab-607a-4938-b08b-4bb5b7dde300Reference: J-4334Location: Barcelona, SpainJob type: Full-time, HybridSalary: EUR 70000Category: DataStack: Python, Microsoft SQL Server, DBT, Apache AirflowContact: , , you ready to be at the forefront of the AI revolution in the business world? We're offering an exceptional opportunity to shape the future of data-driven decision-making.Our client is a rapidly evolving B2B SaaS company specializing in an AI-powered decision intelligence platform for enterprises. This innovative mobile-first solution integrates company data with advanced machine learning, large language models, and agentic AI to deliver real-time, actionable insights to business leaders.Moving beyond traditional dashboards, the platform provides personalized recommendations that empower teams to make faster, more confident decisions across various domains like finance, supply chain, R&D, and commercial operations. Designed for intuitive end-user experience and seamless IT integration, it enables companies to transition from analysis paralysis to data-driven execution.We are looking for Data Analyst/Expert eager to construct reliable and scalable data infrastructure that fuels AI at an enterprise level. Your expertise will make data accessible, trustworthy, and precisely prepared for machine learning models, ensuring our decision intelligence platform delivers millions of insights daily. You will be instrumental in building the foundational data layer that makes our client's AI capabilities a reality.The Data Team: An Engine for Decision IntelligenceThe Data Chapter team forms the core of the \"Data-to-Decision\" engine. We oversee the entire data lifecycle, from ingestion and transformation to quality assurance and delivery. We develop robust APIs and scalable infrastructure, guaranteeing high-quality data availability for the platform and its AI models.They operate at the nexus of business and technology, supporting critical domains. Their data pipelines power the platform across multiple clients, providing insights that impact global enterprises in diverse industries.Key Technical Challenges You'll Tackle:Scale: Managing multi-tenant, configuration-driven pipelines that adapt to varied client requirements.Reliability: Ensuring continuous uptime through automated QA, validations, and proactive monitoring.Quality: Implementing sophisticated business logic checks to maintain a \"Single Source of Truth.\"Governance: Orchestrating complex event-driven and scheduled workflows while upholding stringent data security and compliance.Collaborative Approach:\"Data Is Our Product\" – We function as strategic partners:With Product Teams: To collaboratively define and refine features that address real-world challenges.With Software Engineering: By establishing clear Data Contracts to ensure seamless integration with the core ML & Data Scientists: To engineer high-performance datasets crucial for transforming raw data into measurable AI impact.ResponsibilitiesDesign, develop, and maintain robust and scalable data pipelines and ETL processes.Implement and enforce data quality checks, monitoring, and alerting mechanisms to ensure data integrity.Collaborate with cross-functional teams, including product, engineering, and data science, to define and deliver data solutions.Optimize data workflows for performance, cost efficiency, and reliability.Contribute to the evolution of the data infrastructure and advocate for best practices in data engineering.Troubleshoot and resolve data-related issues, ensuring data availability and accuracy for AI models and decision intelligence.RequirementsWe are seeking individuals at various experience levels for this role. Your responsibilities will align with your experience.Ability to build and maintain data pipelines and ETL processes for specific datasets, following established of implementing and improving data quality checks, monitoring, and alerting for assigned to collaborate with Data Scientists and Machine Learning Engineers to prepare data for model development.Demonstrated accountability and a strong \"doer\" mindset, delivering assigned data tasks on time.Strong desire to learn and engage with a modern data stack (warehousing, streaming, orchestration, cataloging).Proven experience in designing and implementing end-to-end data pipelines (ingestion transformation quality delivery) with increasing autonomy.Skilled in building and maintaining data infrastructure components (streaming pipelines, transformations, APIs, catalogs) using contemporary data tools.Ability to implement robust data quality frameworks, monitoring, and alerting optimizing data workflows for cost, performance, and reliability across multiple to mentor junior team members on data engineering best practices.Demonstrated leadership in designing and implementing complex, scalable data platforms and pipelines that support multiple teams and use cases.A track record of driving significant improvements in data infrastructure, tooling, and processes to reduce operational burden and enhance data team efficiency.Ownership of critical data systems end-to-end, from requirements gathering to production monitoring, with minimal guidance.Ability to establish and enforce data engineering standards (quality, governance, reliability, performance) across the expertise with ML Engineering, Data Science, and Product teams to design data architectures that power salary up to 70.000 EUR annually, based on experience.Annual bonus potential of 10%.Opportunity to work with an innovative B2B SaaS company at the forefront of AI-powered products.Be part of a global and multicultural team.Continuous professional development and ample opportunities for career growth.Enjoy a hybrid work environment in vibrant cities such Barcelona or Madrid
