Requirements: English
Company: Heineken
Region: Krakw , Lesser Poland Voivodeship
Digital Technology Team (DT) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our processes, ensuring best-in-class technology, and embedding a data-driven culture. By joining us you will work in one of the most dynamic and innovative teams and have a direct impact on building the future of Heineken!Visit our website: Heineken ( heineken-dt.Commerce DevOps Hub is being established. The newly created organization, being an integral part of the Global Digital Technology Function, is tasked with maintaining, but most importantly developing (functionally and technologically) IT solutions supporting the Commerce area at Heineken. Commerce DevOps Hub is located in Krakw and will include highly qualified IT professionals with direct contribution to both the technological development of the Heineken Commerce and the Hub itself. As the Data Engineering Lead, you will be a leader of the data engineering team working on in-house products in for Data Foundation Collaborating closely with Product Owner(s), Product Architect(s) and other DataOps teams you will need to understand the business needs, helping Product Architect(s) to convert those needs into solution architecture specifications and services in line with overall engineering standards and roadmaps. You will be driving excellence in engineering practices to deliver high-quality solutions throughout the software development lifecycle in our IT landscape. lead a team of experienced team members of Data Engineers in designing, developing, and delivering scalable, reliable, and high performing software solutions lead the design, development, and maintenance of scalable data pipelines and ETL processes. lead the team from a technical standpoint, and drive operational excellence, including code reviews, design reviews, testing, and deployment processes be an individual contributor (~60%) engineering the software products/solutions, jointly with the team oversee the implementation of the technical architecture, solve immediate technical challenges implement good practices, coding standards and modern architecture for DataOps; be a go-to-person for technical decisions and problem-solving within the team ensure that the execution of DataOps is in place in the team's daily work inspire, advise, and drive the selection of development approach coordinate software development and address technical debt in the team hire, onboard, mentor, and develop top engineering talents, fostering a culture of learning lead technical discussions with other teams/departments and oversees state-of-art quality of the stack may be involved in cross-functional discussions, representing the domain in broader technical discussions across domains responsible for designing and improving processes that enhance efficiency and quality communication with Engineering Manager, Product Owner, Business Analyst and Scrum Master to align on project. / 8+ years of working experience in in field of Data Engineering, Software Engineering ~hands-on experience and in-depth knowledge of the technologies listed as mandatory in the Technology Stack section ~ hands-on experience in implementing and managing End-to-End DataOps / Data Engineering projects in a team ~ proven ability to lead software development teams of engineers with varying experience and adapt to team sizes from small to large ~ experience in working in diverse projects with varying technologies, products, and systems ~ strong problem-solving skills and ability to make critical technical decisions ~ proficiency in Python, SQL and big data technologies in Cloud environment ~ strong experience in Azure cloud data services technologies Azure Databricks, Unity Catalog, Delta live tables ETL pipeline design expert in Python, Pyspark and SQL Azure Data Factory Azure DevOps Logging and Monitoring using Azure / Databricks services Synapse, Fabric, PowerBI, Azure Functions, Azure Logic apps, Azure API services, Microsoft Entra ID, GCP AWS cloud services knowledge, Azure Networking, Databricks online table, Jira, Shell scripting / Azure CLI knowledge. If someone has concerns about a possible violation of legal regulations indicated in Polish Whistleblowing Act or our Code of Business Conduct, we encourage them to speak up. Cases can be reported to global team or locally (in line with the local HGSS Whistleblowing procedure) by selecting proper option in this tool or by communicating it on hotline. Flexible Work from Home scheme ~ Flexible working hours ~ Private Medical Healthcare ~