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Tech Stack
Tools & technologiesAWSCloudETLPythonSQL
About the role
Key responsibilities & impact- Lead, mentor, and manage a team of data analysts and data engineers, fostering a culture of continuous learning, high performance, and technical excellence.
- Executive Decision Support: Translate complex data structures into high-impact executive reports and insights to influence strategic business decisions and area-level roadmaps.
- Data Governance & Metric Consistency: Establish and oversee data governance frameworks to guarantee absolute consistency, integrity, and alignment of key business metrics across the entire organization.
- Data pipelines, Architecture & Efficiency Frameworks: Define, optimize, and enforce scalable frameworks for data efficiency, storage, and infrastructure-as-code across our data pipelines.
- Advanced Data Engineering Supervision: Oversee the design, orchestration, and documentation of advanced ETL/ELT pipelines and data models within AWS and Google Cloud environments.
- Cross-functional Collaboration: Partner with Business, Product, and Engineering leaders to align data infrastructure with product features, platform KPIs, and strategic business goals.
Requirements
What you’ll need- Solid experience (6+ years) in Data Analytics and Data Engineering, with at least 2-3 years leading and managing data teams in fast-paced or SaaS environments.
- Strategic & Analytical Vision: Strong ability to connect data initiatives with business outcomes, building analytical frameworks that drive organizational efficiency.
- Technical Background: Deep understanding of data architecture, infrastructure-as-code, and pipeline optimization.
- Advanced knowledge of SQL and Python. Hand-on work will be required.
- Cloud & ETL Expertise: Solid experience overseeing ETL/ELT processes and data warehousing in cloud environments, specifically AWS and/or Google Cloud.
- Advanced skills in data storytelling and communicating technical concepts, data insights, and findings clearly to C-level executives and non-technical stakeholders.
- Fluent in English (oral and written). Based in Madrid or nearby, as the position follows a semi-remote model with regular in-office collaboration.
- Nice to have: Experience setting and scaling data and engineering standards from scratch within an EdTech or B2B SaaS company.
- Familiarity with modern data stacks, and advanced data security compliance.
- Proactive mindset for process automation and continuous optimization of cloud costs.
- Fluent in Portuguese will be a plus.
Benefits
Comp & perks- Be part of an international, creative and ambitious environment, where every person has a real impact and actively contributes to the company’s growth.
- Unlimited learning with ODILOFY, our own learning platform with over 3 million pieces of content in all formats (books, audiobooks, videos, courses, movies and learning experiences).
- A flexible work model with remote options, allowing you to organize your schedule in a way that truly works for you.
- Work 100% remotely during July and August with shorter summer hours (8:00 – 15:00) for a better work-life balance.
- Your birthday off, so you can celebrate it your way.
- Flexible compensation plans, tailored to your needs: meals, transportation, childcare, training and private health insurance.
- Access to an emotional wellbeing app, with professional support to take care of your mental health.
- Continuous professional growth, with real internal development opportunities and ongoing learning.
- Team, culture and wellness events, including sports activities, to connect, collaborate and celebrate achievements together.
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalyticsData EngineeringETLELTSQLPythonData ArchitectureInfrastructure-as-CodeData WarehousingData Pipelines
Soft Skills
LeadershipMentoringStrategic VisionAnalytical SkillsCommunicationCollaborationProactive MindsetData StorytellingTechnical CommunicationContinuous Learning