Lead Data Engineer – (Hybrid)

We're looking for an experienced Lead Data Engineer to evolve a high-scale marketing data ecosystem and build the infrastructure supporting AI-driven growth strategies.

🎯 Responsibilities

• Design and develop high-volume data pipelines and tools that support Performance Marketing and deliver measurable business impact.
• Help define the long-term technical strategy for the Data Engineering team.
• Build modern, maintainable solutions aligned with Big Data and cloud infrastructure trends.
• Navigate diverse perspectives, build technical consensus, and identify opportunities for improvement.
• Communicate technical solutions clearly to technical and non-technical stakeholders.
• Apply a business-focused analytical approach to resolve complex pipeline issues and maximize the value of technical solutions.
• Provide technical guidance and hands-on development for large-scale data initiatives, including ETL/ELT, data modeling, data applications, and reverse ETL.
• Deliver high-complexity data projects involving Data Science, Product, and Marketing stakeholders.
• Monitor project progress and mitigate timeline and technical risks in a fast-paced environment.
• Participate in Agile/Scrum practices, including daily stand-ups, sprint planning, and retrospectives.
• Give and receive feedback through code reviews and data model deep dives.
• Mentor team members and help them strengthen their technical skills and progress in their careers.
• Use data to validate hypotheses, ensure data quality, and solve complex problems.
• Collaborate effectively in a multicultural environment and contribute diverse perspectives.

🛠️ Requirements

• Proven ability to build, scale, and deliver engineering solutions at speed.
• Strong technical depth in Big Data and cloud infrastructure, combined with the practical judgment to apply these technologies to complex business challenges.
• Experience leading or contributing hands-on to complex data initiatives.
• Experience with data orchestration tools such as Airflow and Dagster.
• Experience delivering projects with multiple technical and business stakeholders.
• Proven experience working in an Agile/Scrum environment.
• Strong strategic communication skills, with the ability to explain data concepts and technical architectures to technical and business audiences.
• Strong analytical and problem-solving skills, with a clear understanding of the business value of data.
• Ability to collaborate, share knowledge, and work effectively with diverse teams.
• Proficiency in English.
• Comfort using AI coding assistants to improve code quality and delivery speed.

🧰 Technology Stack

• Languages: Advanced Python and SQL
• Transformation: dbt
• Orchestration: Dagster
• Cloud provider: Google Cloud
• Compute and storage: Kubernetes, BigQuery, Cloud SQL
• AI/ML: Vertex AI
• Online marketing APIs: Google Ads API, Bing Ads API, Meta Marketing API, TikTok API, and Criteo API
• Data movement: Fivetran

➕ Nice to have

• Experience with applied AI tools such as Vertex AI or AI-powered coding assistants such as Cline or Copilot.
• Interest in exploring and integrating AI-driven solutions into data engineering workflows, including automated data cleaning, anomaly detection, and predictive schema mapping.
• A proactive experimentation mindset and willingness to test new technologies and frameworks.
• Interest in using AI to improve productivity and unlock new data capabilities.
• Adaptability and enthusiasm for learning about AI features, LLM capabilities, and evolving data processing standards.

🤗 Benefits

• Competitive salary and benefits package, including flexible benefits, performance-based bonuses, a birthday day off, discounts and partnerships, relocation support, and premium equipment with role-based selection options.
• Prime Plus membership.
• Device ownership through the equipment lifecycle program when equipment reaches its refresh cycle.
• Continuous learning through Coursera access, soft skills workshops, technical training, leadership development, and an onboarding program.
• Personalized career paths and development opportunities through the eVOLVE Program.
• Internal mobility opportunities, including horizontal career changes and promotions.
• Employee well-being support and flexibility focused on outcomes and work-life balance.
• Opportunities to connect with colleagues through after-work events, padel tournaments, parties, and interest-based communities.
• A casual environment with no dress code, plus free fruit, coffee, and tea at the offices.
• An innovative, open-minded, Agile environment that supports high performance, learning, growth, and recognition.

📄 Employment Details

• Permanent position

Must-have skills: Python, Data Engineering.

Nice-to-have skills: Apache Airflow, Google Cloud Platform, Big Data.

Required languages: english (level 3/5).

Open only to candidates already eligible to work in the EU.