Pwrteams — вакансии

Pwrteams is looking for a Senior .NET Developer to join our lovely team!
Our client is a global tech company at the forefront of the e-commerce revolution. They are the leader in phone recycling and the most outstanding third-party seller on Amazon. Besides this, they also specialise in media, books and games consoles. You’ll have a chance to join the core part of cross-functional teams working with the business. Each of these teams owns a range of platforms. You’ll be working on features, enhancements, and general tech-related updates. From day-to-day, you’ll closely interact with Product Owners, Testers, and external stakeholders to establish and work toward achievable goals.

What you'll do:

• Develop new features, make improvements and general tech related updates.
• Building .NET Core applications using Net Core, APIs, MySQL, MVC.
• You will be in direct contact with our customer’s executives and actively participate in problem-solving.

What we're looking for:

• 5+ years of software experience;
• Experience building Web based .NET Solutions;
• Experience with Xamarin or MAUI (or similar technologies);
• Experience with CI and Automation tools and delivering in a CI/CD environment;
• Experience in TDD;
• Designing and interacting with Restful APIs and data stores.

Nice to have:

• Experience with Git, GitHub/Azure DevOps;
• Knowledge of Azure PaaS services;
• Desire to work with Vue.js, MVC, HTML, React.JS, JS;
• Familiarity with agile environments.

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.

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!

Responsibilities:

• 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.

Qualifications:

• 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.