Head of BI & Data Engineering

Working at LETMINO is about being part of a lifelong learning culture, where everyone has the possibility to take on challenges and participate in the growth of the company.

But we also offer

• 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 LETMINOFY, 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.

...And more!

Sounds like a mission made for you? Then we need to talk!

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Requirements: 

• 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.

• 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

We are LETMINO, the tech company behind the continuous learning platform that integrates into your work environment and daily activities. We help professionals make better use of their time by selecting and contextualizing content, providing precise answers at the exact moment learning needs arise. We turn available time in people's schedules into immediately applicable knowledge, driving talent development at each organization's own pace.

We are looking for a Head of BI & Data Engineering to lead our data strategy, infrastructure, and analytics team. This role will design the organizational data roadmap, ensuring that our data architecture is scalable, our metrics are consistent, and our insights actively drive high-level executive decision-making

• 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.