Вакансия Senior Data Engineer

Skills

• Python
• FastAPI
• Flask
• Django
• CI/CD
• Docker
• Apache Airflow
• SQL
• NoSQL
• Snowflake
• DynamoDB
• TensorFlow
• PyTorch
• scikit-learn
• Keras
• Apache Spark
• Apache Flink
• AWS Kinesis

Описание вакансии

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.

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.