Technical Specialist

Job Summary

We are seeking an experienced Databricks professional to join the Inventory & Write-off programme as a Project Lead for Solution Design and Development. The resource will independently own the design and implementation of an external interface for Russian inventories - including full data mapping - working in close alignment with the existing onsite/nearshore project team.

Delivery is expected by end of 2026, with a strong possibility of continued engagement on the data.one next initiative in 2027, subject to successful delivery. This is a hands-on delivery role - the candidate must be able to lead and execute independently from day one, without close supervision.

Key Responsibilities

Solution Design & Interface Implementation

• Independently design and implement the external interface for Russian inventories, including full data mapping in Databricks.
• Translate business and technical requirements into scalable, production-ready Databricks solutions.
• Design and build data pipelines using Databricks Workflows, PySpark, Delta Lake, and SQL.
• Ensure data accuracy, consistency, and performance of all delivered solutions.
• Validate implementation approaches and flag technical risks early in the delivery cycle.
• Produce and maintain design documentation and handover materials.

Project Lead Responsibilities

• Act as the primary project lead on the workstream - owning planning, execution, and delivery end-to-end.
• Drive project tasks in alignment with project goals, timelines, and quality standards.
• Coordinate closely with the existing onsite/nearshore Bayer project team for alignment and integration.
• Proactively flag risks, blockers, and dependencies to stakeholders.
• Ensure delivery is completed by end of year (2026).
• Support transition and handover activities to position for potential continuation on data.one next (2027).

Collaboration & Stakeholder Engagement

• Work in close alignment with the existing Bayer project team (onsite and nearshore Germany).
• Communicate effectively with both technical and business stakeholders.
• Contribute to team ways of working, standards, and engineering practices.
• Support knowledge transfer and documentation to ensure long-term maintainability.

DevOps & Operational Excellence

• Work within Agile and DevOps delivery models.
• Apply CI/CD practices, source control (Git), and governed deployment processes.
• Ensure delivered solutions are supportable, maintainable, and operationally sustainable.
• Participate in testing, deployment, and production stabilization activities.

Skill Requirements

Databricks: Core delivery platform - workspaces, clusters, notebooks, SQL, Workflows/Jobs, and Delta Lake. 3-5 years hands-on experience mandatory.

External Interface Design & Data Mapping: Design and implement external interfaces for inventory data, including end-to-end data mapping. The primary deliverable of this engagement.

PySpark / Python: Primary language for pipeline and transformation development within Databricks. Production-grade experience required.

Solution Design & Project Lead Capability: Ability to independently own and drive a workstream - planning, execution, stakeholder coordination, and delivery without close supervision.

Inventory / Write-off Domain Knowledge: SC&L context; understanding of inventory management processes, write-off scenarios, and Russian inventory data structures is a strong advantage.

Azure & Git / CI/CD: Microsoft Azure as the cloud platform; Git for source control; CI/CD pipeline practices for governed, repeatable deployments.

Other Requirements

Communication & Collaboration

• Excellent spoken and written Business English - German not required.
• Comfortable working in an onsite/nearshore delivery model with Bayer Germany teams.
• Able to communicate effectively with both technical and business stakeholders.
• Builds trusted working relationships quickly within existing team structures.

Personal Attributes

• Highly self-sufficient - drives to completion without needing to be managed.
• Structured and organized - manages workload, pace, and priorities independently.
• Delivery-focused - maintains quality output under fixed timeline pressure.
• Pragmatic problem solver - finds workable solutions within technical constraints.
• Open to challenge and constructive feedback.

Experience & Seniority Requirements

• 3-5 years of hands-on Databricks experience - mandatory.
• Proven experience designing and implementing external interfaces and data mapping solutions.
• Demonstrated ability to lead a workstream independently as project lead.
• Experience working in or with teams based in Germany (onsite or nearshore) preferred.
• Track record of delivering within fixed timelines in enterprise environments.
• Familiarity with Supply Chain, Inventory, or Write-off data domains is a strong advantage.
• Proficiency in working with Russian inventory data structures is an advantage.
• Ability to onboard quickly and contribute value from day one with minimal ramp-up.