Data Engineering Lead

Heineken; Kraków; On-site; PLN 150,000 - 200,000; Full time

Job summary

Heineken is looking for a Data Engineering Team Lead at their Global Shared Services Center in Kraków, Poland. In this role, you will lead a team of data engineers to design, develop, and optimize scalable software solutions and data pipelines. A candidate with a minimum of 8 years in data engineering, strong Azure competencies, and hands-on management experience is preferred.

Join Heineken and help shape the future of digital and technology in the brewery sector.

Qualifications

• 8+ years of experience in data engineering or software engineering.
• 5+ years of managerial experience.
• Hands-on experience with Azure cloud technologies.
• Experience in leading both small and large engineering teams.

Responsibilities

• Lead a team of data engineers in creating software solutions.
• Maintain scalable data pipelines and ETL processes.
• Monitor data infrastructure performance.
• Ensure adherence to coding standards and architectural guidelines.
• Mentor and develop team members.

Skills

Data engineering

Software engineering

Team leadership

Azure cloud technologies

ETL design

Python

SQL

DataOps

Problem-solving

Tools

Azure DevOps

Apache Kafka

Databricks

Jira

Power BI

Job description

Digital & Technology Team (D&T)

Heineken Global Shared Services Center’s D&T is committed to making Heineken the most connected brewery. We digitalize and integrate our processes, ensure best-in-class technology, and embed a data‑driven culture. Join us and have a direct impact on building the future of Heineken.

Responsibilities

• Lead a team of experienced 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.
• Drive operational excellence including code reviews, design reviews, testing, and deployment processes.
• Act as an individual contributor (~60%) engineering the software products/solutions alongside the team.
• Ensure the team adheres to coding standards, best practices, and architectural guidelines.
• Oversee the implementation of the technical architecture and solve immediate technical challenges.
• Implement good practices, coding standards, and modern architecture for DataOps; be the go‑to person for technical decisions and problem solving within the team.
• Ensure execution of DataOps is embedded in the team’s daily work.
• Inspire, advise, and drive the selection of development approaches.
• Coordinate software development and address technical debt within the team.
• Hire, onboard, mentor and develop top engineering talents, fostering a culture of learning.
• Guide and mentor team members, fostering their professional and personal growth.
• Build career paths and incentive structures for teams, empowering members to achieve them.
• Grow new generations of talents and future leaders.
• Drive collaboration and continuous improvement.
• Lead technical discussions with other teams/departments and oversee the state‑of‑the‑art quality of the stack.
• Represent the domain in broader technical discussions across domains.
• Design and improve processes that enhance efficiency and quality.
• Communicate with Engineering Manager, Product Owner, Business Analyst, and Scrum Master to align on project or sprint goals, timelines and resource allocation.

Qualifications

• 8+ years of experience in data engineering or software engineering.
• 5+ years of managerial experience.
• Hands‑on experience and in-depth knowledge of:
  • Azure cloud data services & technologies
  • Azure Databricks, Unity Catalog, Delta Live Tables
  • Data modelling and 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 tables
  • Synapse, Fabric, Power BI, 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 of varying experience, adapting to team sizes from small to large.
• Experience working on diverse projects with varying technologies, products, and systems.
• Strong problem‑solving skills and ability to make critical technical decisions.
• Ability to guide and mentor other team members.
• Successful people‑managerial experience.
• 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

• Knowledge of GCP and AWS cloud services.
• Shell scripting / Azure CLI knowledge.