About the Role
We're seeking an experienced Senior Data Engineer to join our Performance Marketing Technology Team in Barcelona to drive the evolution of our marketing data ecosystem. Our mission is to build and operate the high-scale infrastructure required for our AI-driven growth strategies. Working in a fast-paced Agile environment, you will collaborate closely with other Data Engineers, Performance Marketing managers, Product Managers and Data Scientists to turn complex data into data driven solutions.
Responsibilities
•Design, build, and optimize high-throughput data products and infrastructures that serve as foundation for Performance Marketing AI strategies.
•Help define the long-term technical strategy for the Data Engineering team, ensure our infrastructure is modern, cost-efficient, resilient and aligned with industry trends in Big Data and Cloud.
•Navigate diverse perspectives to build technical consensus and uncover opportunities.
•Communicate technical solutions clearly to colleagues in non-technical roles.
•Apply a strong analytical mindset to solve complex pipeline issues, ensuring every technical solution is designed with the intent to maximize business value.
Requirements
•Ability to build/scale and deliver engineering solutions at speed.
•Technical depth to stay ahead of Big Data and Cloud infrastructure trends and the practical wisdom to apply them to complex business challenges.
•Ability to provide technical guidance as well as hands-on development for large-scale data initiatives (ETL/ELT & Data Modeling, data applications, reverse ETL).
•Ability to deliver strategic improvements to the data ecosystem that directly impact business performance.
•Experience designing and implementing solutions to mitigate data loss, implement robust data privacy standards, and ensure high-level data quality across online marketing data.
•Comfortable leveraging AI coding assistants to enhance quality and delivery speed of code.
•Proven experience using data orchestrators like Airflow and Dagster.
•Successful delivery of high-complexity data projects involving multiple stakeholders (Data Science, Product, Marketing).
•Skilled at monitoring progress and mitigating timeline or technical risks in a fast-paced environment.
•Proven experience working in an Agile/Scrum environment, comfortable with iterative development, daily stand-ups, sprint planning, and retrospectives.
•Effective at giving and receiving feedback, including code reviews and data model deep dives.
•Enjoys mentoring team members, coaching them to upgrade technical skills and grow.
•Able to communicate complex data concepts and technical architectures to both technical and business stakeholders, establishing alignment within the broader organization.
•Strong analytical mindset, proactively using data to validate hypotheses, ensure data quality and solve intricate problems.
•Understands the business value of the data moving through pipelines, not just building pipelines.
•Enjoys collaborating and sharing skills and knowledge with others.
•Thrives in a multicultural environment and values diverse perspectives.
•Proficient in English, allowing effective work and communication in a global and diverse workspace.
Nice to Have
•Demonstrated comfort using practical AI tools such as Vertex AI or other AI-powered coding assistants (e.g. CLine or Copilot) to accelerate development and debugging.
•Curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into data engineering workflows (e.g., automated data cleaning, anomaly detection, or predictive schema mapping).
•Beyond utilizing AI productivity tools, understanding how to design data pipelines and structures optimized for AI products (e.g., via Vertex AI).
•A proactive desire to test new technologies and frameworks, viewing "AI-First" as a tool to enhance productivity and unlock new data capabilities.
•Enthusiasm for continuously learning and quickly adapting to new AI features, LLM capabilities, and evolving data processing standards.
Conditions
•Prime Plus membership.
•Competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships.
•Relocation support.
•Premium equipment with role-based selection options and device ownership through the equipment lifecycle program when it reaches its refresh cycle.
•Free Coursera access, soft skills workshops, tech training, leadership development, and more.
•Great onboarding program.
•Personalised career paths and the eVOLVE Program to help discover, grow, and thrive.
•Internal mobility opportunities for horizontal career changes and promotions.
•Hybrid home-office model focused on outcome, supporting work-personal life balance.
•After-work events, padel tournaments, parties, and more.
•Ability to create communities based on passions, like sports and music.
•No dress code; free fruit, coffee, and tea at offices.
•Diverse and open-minded teams supporting high performance, learning, and growth.
•Agile mindset environment with recognition at its core.
