Jobs and Careers

Senior Data Engineer

Kraków, Polandfull_timeVerifiedPosted 31 Jan 2025

About the role

Overview

Pwrteams are seeking a Senior Data Engineer to join the TUI Musement Data Science & Analytics Team. As a Data & ML Engineer, you will be providing support to the rest of Data profiles in TUI Musement building the tooling used on analytical and operational Data and ML/AI Products helping them at the task of delivering value to the business, and managing the platform used by all Data and ML/AI products on the Data area.

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 GroupTUI 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.

Responsibilities

Develop and maintain cutting-edge Data and ML/AI solutions for TUI Musement that meet our Service Level Agreements (SLAs) and fit within our budget.
Build and optimize Data and ML/AI tools to empower your fellow data professionals, helping them unlock the full potential of our platform.
Design and manage ETL pipelines and workflows using technologies like SQL and AWS Big Data services, ensuring that data flows seamlessly from source to insight.
Create robust Machine Learning pipelines that handle the lifecycle of ML models from development to deployment, monitoring, and optimization.
Implement and manage APIs for model inference, supporting Data Scientists in deploying their solutions at scale.
Monitor and enhance ML Data products, fine-tuning them for performance, accuracy, and scalability.
Lead efforts to automate and optimize internal processes—whether it’s reducing manual work, improving data delivery, or re-designing infrastructure for greater efficiency.
Collaborate with your team in an agile environment, following operational and control procedures to deliver top-tier results.
Contribute to the design and modeling of a scalable Enterprise Data Platform within the cloud (AWS), ensuring that our data architecture remains future-proof.

Qualifications

Proficient in Python, with a commitment to writing clean, maintainable, and testable code.
Experience with API frameworks like FastAPI, Flask, or Django.
Demonstrated expertise in Data and ML pipelines, with hands-on experience in CI/CD frameworks.
Comfortable building containerized solutions with Docker and using orchestration tools like Airflow.
Proficient in working with both SQL and NoSQL databases: Our current stack includes technologies like Snowflake and DynamoDB, among others.
A strong understanding of data transformation, metadata management, and workflow orchestration.
Familiarity with Machine Learning frameworks and libraries is highly valued.
Experience with AWS cloud services and stream-processing systems like Apache Spark, Apache Flink, or Kinesis is a plus.
You have an analytical mindset and a passion for continuous learning, embracing challenges as opportunities.
Fluent in English, you’re able to communicate both technical details and big-picture concepts with ease, whether you’re speaking to senior stakeholders or peers in the technical team.
You’re passionate about data, machine learning, and finding solutions to complex challenges, but you also thrive in a collaborative environment.
You see data not just as numbers but as the foundation for meaningful change, and you’re excited about the opportunity to help revolutionize the travel experience.