Digital & Technology Team (D&T) 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!


Would you like to meet the Team, see our office and much more? Visit our website: Heineken (heineken-dt.pl)
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. This role involves hands-on development work. This role will directly report to Engineering Manager


Your responsibilities would include:

leading a team of experienced team members of Data Engineers in designing, developing, and delivering scalable, reliable, and high performing software solutions leading the design, development, and maintenance of scalable data pipelines and ETL processes monitoring and optimizing data infrastructure performance, identifying and resolving bottlenecks and issues leading the team from a technical standpoint, driving operational excellence, including code reviews, design reviews, testing and deployment processes being an individual contributor (~60%) engineering the software products/solutions, jointly with the team ensuring that the team adheres to coding standards, best practices, and architectural guidelines, oversee team spirit and team performance, guide and mentor team members overseeing the implementation of the technical architecture, solving immediate technical challenges. implementing good practices, coding standards and modern architecture for DataOps; be a “go-to-person for technical decisions and problem-solving within the team ensuring that the execution of DataOps is in place in the team's daily work inspiring, advising and driving the selection of development approach coordinating software development and address technical debt in the team hiring, onboarding, mentoring and developing top engineering talents, fostering a culture of learning overseeing team spirit, performance and providing guidance and mentorship to team members, fostering their professional and personal growth & development building career path and incentive structure for teams, enable and empower team members to achieve them growing new generation of talents and future leaders driving collaboration, and continuous improvement leading technical discussions with other teams/departments and oversees state-of-art quality of the stack involvement in cross-functional discussions, representing the domain in broader technical discussions across domains responsibility for designing and improving processes that enhance efficiency and quality communication with Engineering Manager, Product Owner, Business Analyst/Business user and Scrum Master to align on project. / sprint goals, timeline and resource allocation.

You are a good candidate if you have: 8+ years of working experience in in field of Data Engineering, Software Engineering 5+ years of experience in managerial position hands-on experience and in-depth knowledge of: Azure cloud data services & technologies Azure Databricks, Unity Catalog, Delta live tables Data Modelling & Architecture ETL pipeline design · Expert in Python, Pyspark and SQL Azure Data Factory Azure DevOps Logging and Monitoring using Azure / Databricks services Apache Kafka Databricks online table Synapse, Fabric, PowerBI, Azure Functions, Azure Logic apps Jira strong understanding and implementation of software development principles, coding standards, and modern architecture 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 ability to guide / mentor other team members experience with leadership as a successful people manager stakeholder engagement/influence skills pragmatic, and collaborative approach experience with Databricks, Data pipelines, CI/CD proficiency in Python, SQL and big data technologies in Cloud environment

Nice to have: Azure API services Microsoft Entra ID GCP & AWS cloud services knowledge Azure Networking Shell scripting / Azure CLI knowledge

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