Data Engineering Lead
2 tygodni temu
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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 Kraków 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. This role involves hands-on development work.
Your responsibilities would include:
- 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. Monitor and optimize data infrastructure performance, identifying and resolving bottlenecks and issues
- 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
- ensure that the team adheres to coding standards, best practices, and architectural guidelines, oversee team spirit and team performance, guide and mentor team members
- 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
- collaboration, and continuous improvement
- 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. / sprint goals, timeline and resource allocation.
You are a good match 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 the technologies listed as mandatory in the Technology Stack section
- 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
- stakeholder engagement/influence skills
- pragmatic, and collaborative team player
- experience with Databricks, Data pipelines, CI/CD
- proficiency in Python, SQL and big data technologies in Cloud environment
- pragmatic, and collaborative team player.
You are a good match if you know:
- strong experience in 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
- Nice to have: 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.
At HEINEKEN Kraków, we take integrity and ethical conduct seriously. 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.
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