Data Engineering Manager Position

hace 2 días


Gasteiz Vitoria, Álava, España PepsiCo Deutschland GmbH A tiempo completo

Are you a data engineering expert ready to drive PepsiCo's digital transformation and accelerate change across global operations?

PepsiCo operates in an environment of immense and rapid change, driven by big-data and digital technologies that are unlocking new capabilities and business innovations. The key to winning in these areas is leveraging enterprise data foundations built on global business scale to enable business insights, advanced analytics, and new product development.

The Enterprise Data Foundation team is tasked with developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists to have rapid access to data for decision-making and innovation.

About the role:

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

As a Data Engineering Manager, you will oversee PepsiCo's data product build & operations, driving a strong vision for proactive impact on the business. You'll lead a team of data engineers who build data pipelines into various source systems, rest data on the Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts.

You will help lead the development of large and complex data applications into public cloud environments directly impacting design, architecture, and implementation of flagship data products around topics like revenue management, supply chain, manufacturing, and logistics.

Your Day-to-Day:

  • Provide leadership and management to a team of data engineers, managing processes and flow of work, vetting designs, and mentoring them to realize 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.
Requirements:

We're looking for a highly skilled data engineering professional with 8+ years of experience, including at least 6+ years of hands-on software development, data engineering, and systems architecture. You should have 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools, along with SQL optimization and performance tuning skills.

Additional requirements include experience with cloud data engineering in at least one cloud (Azure, AWS, GCP) and fluency with Azure cloud services. Experience scaling and managing a team of engineers, integration of multi-cloud services with on-premises technologies, and running and scaling applications on cloud infrastructure and containerized services like Kubernetes are also essential.



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