Enterprise Data Modeler (Cloud, Hybrid)

Enterprise Data Modeler (Cloud, Hybrid)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deliver enterprise data products while creating scalable data models.
  • Company: Stott and May, a forward-thinking company in the tech industry.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Work 2-3 days a week on-site in London or Edinburgh.
  • Why this job: Join a dynamic team and shape the future of data in a collaborative environment.
  • Qualifications: Proven data modelling experience and expertise in AWS or Snowflake.

The predicted salary is between 60000 - 80000 Β£ per year.

Stott and May is seeking an experienced Data Modeler to support the design and delivery of enterprise data products. The role involves working in a hybrid pattern, 2 to 3 days per week on-site in London or Edinburgh.

The successful candidate will be responsible for creating scalable and governed data models that meet the needs of the organization, collaborating closely with Data Analysts, Engineers, and business stakeholders.

Essential qualifications include proven data modelling experience and expertise in cloud environments like AWS and Snowflake.

Enterprise Data Modeler (Cloud, Hybrid) employer: Stott & May

Stott and May is an excellent employer that fosters a collaborative and innovative work culture, where employees are encouraged to grow and develop their skills in the rapidly evolving field of data modelling. With a hybrid working model based in vibrant cities like London and Edinburgh, employees enjoy a flexible work-life balance while contributing to impactful enterprise data products. The company offers competitive benefits and opportunities for professional advancement, making it a rewarding place for those seeking meaningful employment in the tech industry.

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Contact Details:

Stott & May Recruitment Team

We think you need these skills to ace Enterprise Data Modeler (Cloud, Hybrid)

Data Modelling
Cloud Environments
AWS
Snowflake
Collaboration Skills
Scalability
Governance