Overview:
Responsibilities:

• Provide leadership and management to a team of data engineers, managing processes and their flow of work, vetting their designs, and mentoring them to realize their full potential.
• Act as a subject matter expert across different digital projects.
• Oversee work with internal clients and external partners to structure and store data into unified taxonomies and link them together with standard identifiers.
• Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
• Responsible for implementing best practices around systems integration, security, performance and data management.
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
• Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
• Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
• Develop and optimize procedures to “productionalize” data science models.
• Define and manage SLA’s for data products and processes running in production.
• Support large-scale experimentation done by data scientists.
• Prototype new approaches and build solutions at scale.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create and audit reusable packages or libraries.

Qualifications:

• 8+ years of overall technology experience that includes at least 6+ years of hands-on software development, data engineering, and systems architecture.
• 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
• 6+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, Py Spark, Scala etc.).
• 4+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP).
• Fluent with Azure cloud services. Azure Certification is a plus.
• Experience scaling and managing a team of engineers.
• Experience with integration of multi cloud services with on-premises technologies.
• Experience with at least one MPP database technology such as Databricks, Synapse or Snow Flake.
• Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
• Experience with version control systems like Github and deployment & CI tools.

• Hybrid work model: combination of remote and collaborative office experience to enable innovation

• Entrepreneurial environment in leading international company

• Professional growth possibilities & learning opportunities

• Variety of benefits to support your physical, emotional and financial wellbeing

• Volunteering opportunities to help external communities

• Diverse team with more than 30% of female representation & over 30 nationalities

• Have a stake in D&I strategy and bring your whole self to work

We believe that culture should be at the cornerstone of everything we do at Pepsi Co. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.
So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

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    We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

#LI-Hybrid
#Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain