Описание

This role involves joining eDreams ODIGEO's Performance Marketing Technology team to drive the evolution of their marketing data ecosystem, building and operating high-scale infrastructure for AI-driven growth strategies in a fast-paced Agile environment.

Responsibilities

Deliver scalable data infrastructures and tools: design and development of high-volume pipelines and tools to support and directly impact the success of the Performance Marketing Team
Drive technical roadmap: help define the long-term technical strategy for the Data Engineering team, build solutions that are modern, maintainable, and aligned with industry trends in Big Data and Cloud
Stakeholder alignment & discovery: navigate diverse perspectives to build technical consensus and uncover opportunities, and communicate technical solutions clearly to colleagues in non-technical roles
Drive business-centric analysis: apply a strong analytical mindset to solve complex pipeline issues, ensuring every technical solution is designed to maximize business value

Requirements

Technical ownership & strategic thinking: ability to build/scale and deliver engineering solutions at speed, with technical depth to stay ahead of Big Data and Cloud infrastructure trends and apply them to complex business challenges
Experience in complex data initiatives: provide technical guidance as well as hands-on development for large-scale data initiatives (ETL/ELT & Data Modeling, data applications, reverse ETL), capable of delivering strategic improvements to the data ecosystem that directly impact business performance
First experience with AI: able to comfortably leverage AI coding assistants to enhance the quality and delivery speed of code
Data orchestration: proven experience using data orchestrators like Airflow and Dagster
End-to-End project delivery: successfully deliver 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
Agile mindset: proven experience working in an Agile/Scrum environment, comfortable with iterative development, participating in daily stand-ups, sprint planning, and retrospectives to deliver incremental value in a fast-paced setting
Mentorship & feedback: effectively give and receive feedback, including code reviews and data model deep dives, enjoy mentoring other team members, coaching them to upgrade their technical skills and grow to the next level
Strategic communication: communicate complex data concepts and technical architectures to both technical and business stakeholders, establishing alignment within the broader organization
Analytical mindset: strong analytical mindset, proactively use data to validate hypotheses, ensure data quality, and solve intricate problems, understand the business value of the data moving through pipelines
Team player: enjoy collaborating and sharing skills and knowledge with others, thrive in a multicultural environment and value diverse perspectives
Language proficiency: proficient in English
Languages: Python and SQL (advanced)
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, Criteo API
Data movement: Fivetran

Nice to have

Experience with applied AI tools: 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
AI-driven data solutions: 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)
Experimentation mindset: a proactive desire to test new technologies and frameworks, viewing "AI-First" as a tool to enhance productivity and unlock new data capabilities
Adaptability and learning agility: enthusiastic about continuously learning and quickly adapting to new AI features, LLM capabilities, and evolving data processing standards

We offer

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 an equipment lifecycle program
Continuous learning: free Coursera access, soft skills workshops, tech training, leadership development, great onboarding program
Growth opportunities: personalized career paths, the eVOLVE Program, internal mobility opportunities
Hybrid home-office model focused on outcomes, fostering work-personal life balance
After-work events, padel tournaments, parties
Communities based on passions like sports and music
No dress code
Free fruit, coffee, and tea at offices
Innovative, risk-taking environment with diverse and open-minded teams, supporting high performance, learning, and growth in an Agile mindset environment with recognition at its core

Hiring process

The company is an equal-opportunity employer and values diversity