Few&Far are partnered with one of the fastest-growing travel tech companies in Europe. They recently secured €100 million funding round allowing them to improve all of their services and achieve their next milestones.

They are on the hunt for a Senior Data Engineering Manager to manage the data engineering team. You will be working closely with the data analytics and data science teams, to help leverage the tools that the team have built.

Your team;

• You will be responsible for the Data Engineering team in the Business Intelligence department. The team is in charge of creating, maintaining and refining the core data pipeline tools, including the Data Lake and Data Warehouse, and supporting the core pipelines on top of that.
• You will take on the responsibility of enabling a DataMesh-based approach to support different teams in leveraging the data to create data-driven applications.

Your role;

• Defining the OKRs with the Head of BI
• Lead a high-performing cross-functional team with a strong focus on product, velocity, quality, engineering culture and growth of the team.
• Take responsibility for the delivery and smooth operation of features empowering stakeholders
• Seek cost-efficient solutions while maintaining high standards of quality (SLA).
• Manage tech and cloud budgets, and resources to ensure they are aligned with strategic objectives
• Foster collaborations with C-suite executives, product leaders, and external partners to align data initiatives with enterprise goals.
• Foster a positive team culture aligned with company values, emphasizing ownership, autonomy, and inclusivity.

Your experience;

• A bachelor's degree in Computer Science, a related technical field or equivalent practical experience.
• Experience as a people manager with the ability to build an excellent team culture based on mutual respect, empathy, learning and support for each other.
• Experience building and implementing Lakehouse architectures in AWS or other similar setups.
• Experience providing technical leadership (e.g., setting goals and priorities, architecture design, task planning and code reviews).

Tech Stack;

• Python, SQL, Spark, AWS