Senior Compliance Analyst / Senior Information Security Engineer

PepsiCo Deutschland GmbH; Córdoba; Presencial; EUR 75.000 - 100.000; Jornada completa

Descripción de la vacante

Join PepsiCo as a Data Engineering Manager to drive digital transformation through effective data product builds and operations. You'll oversee a team responsible for creating data pipelines and ensuring high-quality data access, contributing to impactful business practices in a collaborative environment that values innovation and diversity.

Servicios

Hybrid work model

Professional growth opportunities

Diverse team representation

Community engagement volunteering opportunities

Formación

• 8+ years in technology, 6+ in software dev and data engineering.
• Proficient in SQL, Python, and cloud platforms like Azure.
• Experience in managing data engineering teams.

Responsabilidades

• Lead a team of data engineers in building data pipelines.
• Manage cloud data engineering projects and automation frameworks.
• Collaborate with cross-functional teams to enhance data capabilities.

Conocimientos

Leadership

Data Modeling

Communication

Change Management

Educación

Bachelor's or Master's degree in Computer Science or related field

Herramientas

SQL

Python

Azure Data Factory

Apache Griffin

Descripción del empleo

Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations?

What PepsiCo Enterprise Data Operations (EDO) does :

• Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company.
• Responsible for day-to-day data collection, transportation, maintenance / curation and access to the PepsiCo corporate data asset.
• Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders.
• Increase awareness about available data and democratize access to it across the company.

As a Data Engineering Manager, you will be the key technical expert overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be empowered to create & lead a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. You will help lead the development of large and complex data applications into public cloud environments, impacting the design, architecture, and implementation of PepsiCo's flagship data products related to revenue management, supply chain, manufacturing, and logistics. Collaboration with process owners, product owners, and business users is essential. The environment includes in-house, on-premise data sources, as well as cloud and remote systems. Your day-to-day with us :

• 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 improve data quality.
• Build and own automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.
• Implement best practices around systems integration, security, performance, and data management.
• Empower the business by creating value through increased adoption of data, data science, and business intelligence.
• Collaborate with internal teams to drive solutions and proof of concept discussions.
• Enhance the architectural capabilities and maturity of the data platform by engaging with enterprise architects and partners.
• Develop and optimize procedures to operationalize data science models.
• Define and manage SLAs for data products and processes in production.
• Create documentation for knowledge transfer and audit reusable packages or libraries.

What you will need to succeed :

• Over 8 years of experience in technology, including 6+ years in software development, data engineering, and systems architecture.
• Expertise (6+ years) in Data Lake Infrastructure, Data Warehousing, and Analytics tools.
• Proficiency in SQL performance tuning and programming in Python, PySpark, Scala, and related technologies.
• 4+ years of cloud data engineering experience with at least one major cloud platform (Azure, AWS, GCP).
• Advanced knowledge of Azure cloud services; Azure Certification is a plus.
• Proficient in data modeling, warehousing, and designing high-volume ETL / ELT pipelines.
• Experience with data profiling and quality tools like Apache Griffin, Deequ, and Great Expectations.
• Strong background in distributed systems for data extraction, ingestion, and processing large datasets.
• Skilled in MPP database technologies such as Redshift, Synapse, or Snowflake.
• Knowledge of scaling applications on cloud infrastructures and containerized services (e.g., Kubernetes).
• Experience with version control (GitHub) and CI / CD tools.
• Proficiency in Azure Data Factory, Azure Databricks, and Azure Machine Learning tools.

Skills, Abilities, Knowledge :

• Excellent communication skills, both verbal and written, with the ability to influence and build confidence with senior management.
• Proven leadership in hiring, mentoring, and scaling data teams.
• Strong change management skills, comfortable leading teams through growth and change.
• Ability to translate business requirements into data and technical solutions.
• Highly organized with the ability to manage multiple projects and priorities.
• Positive, flexible attitude to adapt to changing needs.
• Strong leadership, organizational, and interpersonal skills; capable of managing trade-offs.
• Foster a culture of accountability, communication, and self-management.
• Drive impact and engagement, bringing others along.
• Consistently meet or exceed goals.
• Ability to lead without direct authority in a matrixed environment.
• Influential in educating stakeholders on the role of data.
• Understanding of both engineering and business aspects of data products.
• User-centric decision making.
• Team-oriented, promoting speed, agility, and innovation.
• Experience with agile methodologies.
• Strong negotiation and decision-making skills.
• Experience managing globally distributed teams.

What makes us different?

• Hybrid work model — combination of remote and office work to foster innovation.
• Entrepreneurial environment within a leading international company.
• Opportunities for professional growth and learning.
• Benefits supporting physical, emotional, and financial wellbeing.
• Volunteering opportunities for community engagement.
• Diverse team with over 30% female representation and more than 30 nationalities.
• Participation in D&I strategies, encouraging authenticity at work.

About PepsiCo

We believe culture is central to our success. We are agile, innovative, and embrace failure as part of growth. Our goal is to bring enjoyment, refreshment, and fun to the world.

PepsiCo Positive (pep+) is our strategic transformation focusing on sustainability within our growth and value creation, respecting planetary boundaries and inspiring positive change.

If you're ready to join a dynamic environment for big thinkers, we’d love to hear from you.

• We encourage diverse applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion, or disability.

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