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- Tasks: Design and optimise data models for cloud solutions using Azure and Databricks.
- Company: Join a thriving company at the forefront of data innovation.
- Benefits: Enjoy flexible work options and a collaborative team environment.
- Why this job: Be part of a dynamic team shaping the future of data integration and governance.
- Qualifications: Bachelor's in Computer Science or related field; strong data modelling experience required.
- Other info: Preferred certifications in Azure Data Engineering or Databricks are a plus.
The predicted salary is between 36000 - 60000 £ per year.
Come and join a thriving company as a Data Modeller – Azure / Databricks. In this role, you will design, implement, and optimize scalable data models for cloud-based solutions. This role involves working closely with data engineers, architects, and business stakeholders to ensure efficient data structures and seamless integration across the Azure ecosystem.
Key Responsibilities:
- Design and implement data models for structured and unstructured data.
- Develop and optimize data pipelines using Azure & Databricks.
- Define and enforce data governance, security, and best practices.
- Collaborate with stakeholders to translate business needs into data models.
- Support data integration, transformation, and storage strategies.
- Optimize performance and scalability of data solutions.
Qualifications & Experience:
- Bachelor's degree in Computer Science, IT, or a related field.
- Strong experience in data modeling, database design, and ETL processes.
- Hands-on experience with Databricks, Delta Lake, and Apache Spark.
- Expertise in SQL, Python, or Scala for data engineering.
- Strong understanding of normalization, denormalization, and data warehousing.
- Experience with data governance, security, and compliance frameworks.
Preferred Qualifications:
- Azure Data Engineer or Databricks certification.
- Experience with data mesh, data fabric, or lakehouse architectures.
- Familiarity with CI / CD, DevOps, and Infrastructure as Code (IaC).
Data Modeler - Azure/Databricks (Baseline/ Nv1 / Nv2) employer: Buscojobs
Contact Detail:
Buscojobs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler - Azure/Databricks (Baseline/ Nv1 / Nv2)
✨Tip Number 1
Familiarise yourself with Azure and Databricks by exploring their documentation and tutorials. This will not only boost your confidence but also help you speak knowledgeably about your experience during interviews.
✨Tip Number 2
Network with professionals in the data modelling field, especially those who work with Azure and Databricks. Attend relevant meetups or webinars to make connections that could lead to job referrals.
✨Tip Number 3
Showcase your hands-on experience with data modelling tools and techniques by working on personal projects or contributing to open-source projects. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common data modelling scenarios and problems. Being able to demonstrate your problem-solving skills in real-time can significantly increase your chances of landing the job.
We think you need these skills to ace Data Modeler - Azure/Databricks (Baseline/ Nv1 / Nv2)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data modelling, database design, and ETL processes. Emphasise your hands-on experience with Databricks, Delta Lake, and Apache Spark, as well as your proficiency in SQL, Python, or Scala.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data modelling and how your skills align with the company's needs. Mention specific projects where you've designed and implemented data models, and how you've collaborated with stakeholders to meet business requirements.
Showcase Relevant Certifications: If you have any certifications related to Azure Data Engineering or Databricks, be sure to include them in your application. This will demonstrate your commitment to professional development and your expertise in the field.
Highlight Soft Skills: Don't forget to mention your soft skills, such as communication and teamwork. As this role involves collaboration with various stakeholders, showcasing your ability to work effectively in a team will strengthen your application.
How to prepare for a job interview at Buscojobs
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Databricks, Delta Lake, and Apache Spark. Bring examples of data models you've designed and optimised, and be ready to explain the thought process behind your choices.
✨Understand the Azure Ecosystem
Familiarise yourself with Azure services and how they integrate with data solutions. Demonstrating knowledge of Azure's capabilities will show that you can effectively collaborate with data engineers and architects.
✨Emphasise Collaboration
Since this role involves working closely with various stakeholders, highlight your experience in translating business needs into data models. Share examples of successful collaborations and how you ensured seamless integration across teams.
✨Discuss Data Governance and Best Practices
Prepare to talk about your understanding of data governance, security, and compliance frameworks. Discuss how you've defined and enforced best practices in previous roles to ensure data integrity and security.
