Senior Analytics Engineer

We’re Nortal. We think big and create cutting-edge digital solutions with a global reach. And with 25 years of experience, 2,700+ professional experts, and half a billion people worldwide impacted by our work, we believe we’ve got the numbers to back up that statement.  

Our global teams have played a significant role in many Fortune 500 companies’ projects and systems and have been the driving force of digital transformation for governments, healthcare institutions, and leading enterprises worldwide. We combine best-in-class strategic consulting with software engineering, data, and design practices to bring our visions to life. 

TUI is a global business with over 70,000 people on board, a great history and challenging plans for building a digital future. TUI is the largest leisure, travel and tourism company globally, and it owns travel agencies, hotels, airlines, cruise ships and retail shops.

As an Analytics Engineer, you will contribute to delivering high-quality data solutions aligned with agreed SLAs and budget constraints.

• →Designing and maintaining optimal data pipeline architectures.
• →Assembling large, complex datasets to meet business requirements.
• →Identifying and implementing process improvements (e.g., automation, scalability, data delivery optimization).
• →Building analytics tools to generate actionable insights on customer acquisition, operational efficiency, and other key metrics.
• →Collaborating within an agile team to uphold operational and control procedures.
• →Supporting data design and modeling within an Enterprise Data Platform in a cloud environment.

• Proven experience in building and maintaining scalable data pipelines and ETL/ELT processes.
• Advanced SQL skills and hands-on experience with Snowflake for analytical workloads.
• Experience with relational and NoSQL databases, optimized for analytics.
• Proficiency in dbt for data modeling, transformation workflows, and testing.
• Workflow orchestration experience using Airflow or similar tools.
• Strong Python programming skills for pipeline development and data processing.
• Familiarity with other programming languages (e.g., Java, Scala, C++) is a plus.
• Experience with AWS data services (e.g., Lambda, Glue, Kinesis, S3, Redshift); real-time or streaming data pipeline experience is highly valued.
• Knowledge of BI tools such as Power BI and Tableau.
• Strong analytical and implementation skills.
• Excellent communication skills in English, with the ability to explain technical concepts to senior stakeholders.

• 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