Data Engineer in hubQuest

Currently we are looking for a Data Engineer as we are supporting our partner in developing Global Analytics unit which is a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations.

Team's essence is an innovative spirit, which permeates throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in rapid growth and operational excellence. As team expands its analytics solutions on a global scale, we are on the lookout for an experienced Data Engineer.

The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, with footprints across three continents and five countries. Its ethos revolves around fostering collaboration, driving innovation, and ensuring reliability. Together, we're committed to transforming whole organization into a leader in data-driven decision-making, leveraging global diversity to tackle challenges and create value.

The team has a lot of freedom to shape this, especially in the use of tools and technology, but also by introducing new concepts, solutions and ways of working.

We expect:

• significant commercial experience in a similar position
• strong data analytics skills using Python, including experience with PySpark
• excellent software engineering skills, including unit testing, integration testing, and object-oriented programming (OOP)
• proficiency with Azure services, particularly in deploying and managing data solutions
• familiarity with Databricks for big data processing and analytics
• solid SQL skills and fluency in extracting information from databases
• ability to work independently and effectively manage tasks and timelines
• passion for data science and continuous learning in the field
• excellent communication skills to collaborate effectively with team members an stakeholders
• strong team player with the ability to contribute to a collaborative work environment
• fluent English communication skills for effective collaboration and documentation

Nice to have:

• experience with DBT (Data Build Tool) for transforming data in analytics pipelines
• experience in building and releasing Infrastructure as Code with working knowledge of such tools as Terraform

Currently we are looking for a Data Engineer as we are supporting our partner in developing Global Analytics unit which is a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations.

Team's essence is an innovative spirit, which permeates throughout the company, nurturing a data-first approach in every facet of the business. From sales and logistics to marketing and purchasing, our smart data products have been pivotal in rapid growth and operational excellence. As team expands its analytics solutions on a global scale, we are on the lookout for an experienced Data Engineer.

The Global Analytics team is a diverse collective of Data Scientists, Data Engineers, Business Intelligence Specialists, and Analytics Translators, with footprints across three continents and five countries. Its ethos revolves around fostering collaboration, driving innovation, and ensuring reliability. Together, we're committed to transforming whole organization into a leader in data-driven decision-making, leveraging global diversity to tackle challenges and create value.

The team has a lot of freedom to shape this, especially in the use of tools and technology, but also by introducing new concepts, solutions and ways of working.

,[structure end-to-end data processes including extraction, transformation, and storage using serverless Azure services to deploy models and analytical solutions, manage activities such as quality assurance, data migration, integration, and solution deployment to maximize business value, write and maintain ETL processes in Python, design database systems, and develop tools for real-time and offline analytic processing, implement, maintain, and enhance Python packages for ETL processes, data lineage, and operator inputs, focusing on building robust logic, troubleshoot software and processes to ensure data consistency and integrity, integrate large-scale data from various sources using Databricks and other tools to enable business partners to generate insights and make informed decisions., design and implement data flows, and conduct unit and integration tests of Python modules, participating in mission critical processes of the data pipeline, participate in critical phases of the data pipeline and provide technical support in developing smart data products] Вимоги: Python, PySpark, Azure, SQL, Databricks, Terraform, dbt Інструменти: Agile, Scrum. Бонуси та переваги: Sport subscription, Private healthcare, Training budget, Small teams, International projects, Free coffee, Bike parking, Free beverages, In-house trainings, In-house hack days, Modern office, No dress code.