Senior Analytics Engineer

Pwrteams are seeking a Senior Analytics Engineer to join the TUI Musement Data Science & Analytics Team. As an Analytics Engineer, you will be providing support to the business experts in TUI Musement in the definition of the requirements for the Data ecosystem and ensure the design, construction and testing of the solutions, modelling the data that is provided to the Data ecosystem by Data Engineers.

Imagine being at the forefront of how data transforms the travel industry!

TUI Musement, or TUI MM for short, is the world’s leading provider of destination experiences. With 9,000 diverse employees in 49 countries and head office locations including Palma de Mallorca, Luton and Hannover. We offer 14 million guests a portfolio of excursions, activities, tours, transfers and guest services. TUI MM is part of TUI Group, the world's leading tourism group.

About TUI Group
TUI is a global business with over 70,000 employees and a legacy of excellence in the travel industry. We operate travel agencies, hotels, airlines, cruise ships, and retail shops around the world, all united by our goal to deliver exceptional travel experiences. TUI is focused on building a digital future, embracing new technologies and solutions that will shape the next generation of travel.

• Delivering high-quality Data solutions for TUI MM in accordance with the agreed SLA´s and within the budget
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
• Follow and maintain operational and control procedures as a part of an agile team
• Help in the design and modeling of the Data in an Enterprise Data Platform and provide effective solutions in a cloud environment

• 5+ years of experience building processes supporting data transformation, data structures, metadata, dependency and workload management
• 5+ years of experience working on data warehousing platforms (Snowflake, Redshift, Bigquery, etc) including data transformation, data model design and query optimization strategies
• Solid understanding of data modeling and database design principles
• Experience with DBT is highly valuable
• Proficiency with SQL and experience with object-oriented/object function scripting languages (Python, Java, C++, Scala) is highly valuable
• Experience with data pipeline and workflow management tools: Airflow, Azkaban, Luigi is valuable
• Experience with BI tools like PowerBI, Tableau
• Analytical, conceptual and implementation skills
• Ability to analyze business requirements in various business functional areas and translate theminto conceptual, logical and physical data models
• Passion for learning without fear of failure in a passionate and agile team
• Excellent communicator, both verbal and written, in English
• Comfortable communicating high level concepts to senior stakeholders whilst also being able to delve into the detail of complex changes when required

Pwrteams offers:

• 24 working days of paid vacation

• 11 paid national holidays

• Health care: up to 10 paid sick days, on-demand medical insurance, vaccinations

• Mental health support: webinars, resources, and compensation for therapy sessions

• Access to our corporate learning platform

• Language classes (English)

• Flexible benefits budget: a fixed monthly amount you can spend on what matters most to you - medical insurance, sports, leisure, fuel, and more

• 8-hour workday aligned with the client’s working hours

• Hybrid work options: work from home with the option to use our cozy office space whenever needed

• Engaging team events and thoughtful gifts throughout the year

In your resume please allow our company to use your personal data

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