Senior Data Engineer - Data Lakehouse Lead
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About Camlin
Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D; projects in a variety of scientific sectors.
At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of now, Camlin operates in over 20 countries worldwide.
Role Overview
The Data Lakehouse Lead is responsible for the technical direction, evolution and outcomes of the organization's shared Data Lakehouse .
The role ensures that data is made available through well-designed, meaningful and reliable data models and products that can support Analytics, AI and other data-driven use cases.
The role combines strong Data Engineering expertise with technical leadership, planning and stakeholder alignment. It works closely with Analytics teams, technical and business stakeholders to understand priorities, agree objectives, plan the work required, and ensure the Lakehouse evolves in a way that delivers meaningful value.
This is a senior technical leadership role combining Data Engineering, data modelling, planning and stakeholder alignment.
The role is responsible not only for how the Data Lakehouse is engineered, but also for whether the resulting data is well structured, meaningful and useful to the organization .
Key Responsibilities
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- Define and evolve the technical design and data modelling approach for the Data Lakehouse.
- Lead the implementation of shared datasets and data products.
- Establish meaningful and reusable conceptual, logical and physical data models that accurately represent the business and support analytical use ca
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