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Pfeifer & Langen

Europäischer Zuckerhersteller mit 25 Standorten

Team Manager Data & Intelligence

Data Engineering +1Confirmed live in the last 24 hours
Full-timeCologne, GermanyNo salary listed

About the Job

Requirements

  • You have several years of leadership experience and have successfully developed teams and employees, including their roles, capabilities, and ways of working.
  • You have solid experience in business intelligence and data, and understand the interaction of data sources, integration, data platforms, data models, analytics, and front-end and reporting solutions.
  • You can assess technology decisions and develop a robust target architecture together with the lead architect and specialists.
  • You are familiar with modern data platform concepts, data modeling, and data pipelines, and have enough technical depth to lead teams professionally, assess architectural decisions, and guide data platform development.
  • You know business intelligence and data technologies in the SAP environment and understand how they fit into an overarching SAP and non-SAP data architecture.
  • You understand how analytics, advanced analytics, and artificial intelligence create business value, and can assess predictive analytics, generative artificial intelligence, and agentic approaches technologically and in terms of business value and translate them into a data and intelligence strategy.
  • You have successfully managed major technology or transformation projects in business intelligence or data, from conception and implementation or migration through transition to stable operations.
  • You have experience building robust data structures and understand data quality, data classification, ownership, permissions, and access management.
  • You can communicate complex technological concepts clearly, translate business requirements into technology solutions, and bring together stakeholders ranging from subject-matter experts to management.
  • You have very good German and English skills.

Responsibilities

  • Lead a team of specialists in business intelligence, data, and analytics, developing its roles, skills, and ways of working; identify future in-house capabilities and where external partners can add value.
  • Own end-to-end business intelligence and analytics solutions, from architecture and implementation through reliable operations and consulting for internal customers, including SAP BDC, SAP SAC, and Power BI; follow the lead architecture and continuously develop the tool landscape.
  • Develop the technological foundation of the data and intelligence architecture with relevant stakeholders, using modern data platform technologies such as Databricks and integrating existing SAP and non-SAP data landscapes.
  • Ensure relevant sources, from ERP and business data to IoT and machine data, are connected and usable; establish data models, pipelines, and standards for data quality, classification, and access management with the team.
  • Expand beyond traditional reporting and enable systematic use of data for advanced analytics and artificial intelligence; identify and prioritize use cases with the business, from predictive analytics and generative artificial intelligence to agentic approaches, and transition successful solutions into scalable operations.
  • Develop KPI systems with business partners and leaders for operational and strategic management, turning data into useful information and actionable decision support through management dashboards, advanced analytics, and predictive insights.
  • Manage central business intelligence and data transformation projects, such as replacing the current BW system, and build an integrated, future-ready data and intelligence landscape.
  • Coordinate cross-functionally with business partners and other PLITS teams to align architecture, data, processes, security, and business requirements end to end.

Desired Qualifications

  • Practical experience with a modern data platform such as Databricks, including lakehouse architectures and modern data engineering approaches.
  • Experience leading modernization or replacement of an SAP BW landscape or a comparable large-scale business intelligence or data migration.
  • Experience taking advanced analytics or artificial intelligence use cases from idea through production deployment.
  • Experience using data and analytics for capacity, cost, or performance management and deriving concrete improvements.
  • Knowledge of how ERP, IoT, machine, and other operational data interact, and experience making diverse data sources usable in a shared data platform.
  • Polish language skills.

About the Company

Pfeifer & Langen

Europäischer Zuckerhersteller mit 25 Standorten

Pfeifer & Langen is a European sugar producer that processes sugar beets into refined sugar and related products. The company operates across about 25 sites in Europe and generates around 1.4 billion euros in revenue. Its products come from beets grown locally; sugar is extracted and refined through industrial processes and then packaged for sale to customers across various markets. Compared with rivals, Pfeifer & Langen emphasizes a long-standing tradition (founded in 1870), a broad European footprint, and a culture of teamwork and shared growth, aiming to responsible, steady expansion rather than rapid, flashy changes. The company’s goal is to sweeten daily life worldwide by leveraging community, responsibility, and persistent progress to grow together with its employees and partners.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Cologne, Germany
Founded
1870

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