Manager Data Engineering

PepsiCo Deutschland GmbH; Castellón de la Plana; Presencial; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as a Data Engineering Manager, where you'll lead a dynamic team in driving data innovation and transformation. This role empowers you to build and manage data pipelines, enhance data accessibility, and collaborate with cross-functional teams to deliver impactful data solutions. You'll play a key role in shaping the architecture of data products across various sectors, including supply chain and logistics. With a hybrid work model and a commitment to diversity and inclusion, this position offers the chance to make a significant difference in a global organization dedicated to sustainability and growth.

Servicios

Hybrid work model

Growth and learning opportunities

Benefits supporting wellbeing

Community volunteering

Diverse team environment

Formación

• 8+ years in technology, with 6+ in data engineering and systems architecture.
• Expertise in cloud data engineering and analytics tools.
• Proficiency in SQL, Python, and data modeling.

Responsabilidades

• Lead a team of data engineers and manage workflows.
• Oversee data structuring and storage with standard identifiers.
• Implement best practices for data management and integration.

Conocimientos

Data Engineering

SQL

Python

Data Lake

Data Warehousing

Cloud Data Engineering

ETL/ELT Pipelines

Leadership

Communication

Change Management

Educación

Bachelor's Degree in Computer Science or related field

Azure Certification

Herramientas

Azure Data Factory

Databricks

Kubernetes

CI/CD Tools

Data Profiling Tools (Deequ, Great Expectations)

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 source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development across the company. You will help develop large and complex data applications in cloud environments, impacting the design, architecture, and implementation of key data products in areas like 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.

Responsibilities

Your day-to-day with us :

• Provide leadership and management to a team of data engineers, managing workflows, vetting designs, and mentoring.
• Act as a subject matter expert across digital projects.
• Oversee data structuring, storage, and linking with standard identifiers.
• Manage and scale data pipelines supporting product launches and data quality.
• Build automation and monitoring frameworks for data pipeline metrics and KPIs.
• Implement best practices for systems integration, security, performance, and data management.
• Increase data adoption and create value through data science and business intelligence.
• Collaborate with data science and product teams on solutions and POCs.
• Enhance the data platform's architecture with enterprise architects and partners.
• Develop procedures to productionalize data science models.
• Define and manage SLAs for data products and processes.
• Create documentation and reusable packages for knowledge transfer.

Qualifications

What you will need to succeed :

• Over 8 years in technology, including 6+ in software development, data engineering, and systems architecture.
• Extensive expertise (6+ years) in Data Lake, Data Warehousing, and Analytics tools.
• Proficiency in SQL tuning, Python, PySpark, Scala.
• 4+ years cloud data engineering experience (Azure, AWS, GCP).
• Advanced Azure knowledge; Azure Certification is a plus.
• Skills in data modeling, ETL/ELT pipelines.
• Experience with data profiling and quality tools (e.g., Deequ, Great Expectations).
• Background in distributed systems for large datasets.
• Knowledge of MPP databases (Redshift, Synapse, Snowflake).
• Experience with cloud infrastructure, containers (Kubernetes).
• Version control and CI/CD tools.
• Proficiency in Azure Data Factory, Databricks, Machine Learning tools.

Skills, Abilities, Knowledge :

• Excellent communication and leadership skills.
• Proven experience in leading data teams, mentoring, hiring, scaling.
• Change management skills and adaptability.
• Ability to translate business needs into technical solutions.
• Strong organizational skills for managing multiple projects.
• Positive attitude and flexibility.
• Leadership skills in a matrix environment.
• Influential, able to educate stakeholders on data roles.
• Understanding of engineering and business aspects of data products.
• User-centered decision making.
• Collaborative, agile mindset.
• Negotiation and decision-making skills.
• Experience with global teams.

What makes us different?

• Hybrid work model.
• International, entrepreneurial environment.
• Growth and learning opportunities.
• Benefits supporting wellbeing.
• Community volunteering.
• Diverse team with >30% female and >30 nationalities.
• Commitment to D&I and authentic self-expression.

About PepsiCo

We value culture, agility, innovation, and resilience. Our goal is to inspire positive change through sustainability and growth, within planetary boundaries. Join us if you’re eager to think big and make a difference.

• We promote diversity across gender, age, ethnicity, nationality, sexual orientation, social background, religion, or disability.