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- Tasks: Design and implement innovative data strategies across various platforms and tools.
- Company: Join a forward-thinking company focused on cutting-edge data solutions.
- Benefits: Enjoy flexible work options, competitive pay, and opportunities for professional growth.
- Why this job: Be part of a dynamic team making impactful data-driven decisions in a collaborative environment.
- Qualifications: Experience with Azure Data Factory, Data Bricks, Python, and Advanced SQL is essential.
- Other info: Ideal for self-starters who thrive in both independent and team settings.
The predicted salary is between 36000 - 60000 £ per year.
1. Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
2. Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
3. Design, develop and deliver large scale data pre-ingestion, ingestion and data transformation use-cases on Azure Data Hub. Should have experience CI/CD using Azure Pipelines, End to End Release and Branching strategies, SQL.
4. Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Must have skills: Azure Data Factory, Data Bricks, Python, Advanced SQL.
Responsibilities: Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
Azure Data Manager employer: Avance Consulting
Contact Detail:
Avance Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Manager
✨Tip Number 1
Familiarise yourself with Azure Data Factory and Data Bricks by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your commitment to mastering the tools we use.
✨Tip Number 2
Network with professionals in the data management field, especially those who have experience with Azure platforms. Attend meetups, webinars, or online forums to gain insights and potentially get referrals that could help you land a position with us.
✨Tip Number 3
Showcase your understanding of CI/CD processes using Azure Pipelines by creating a portfolio of projects where you've implemented these strategies. This practical demonstration can set you apart from other candidates when applying for the Azure Data Manager role.
✨Tip Number 4
Stay updated on the latest trends and best practices in data modelling and architecture. Engaging with relevant content, such as blogs or podcasts, will not only deepen your knowledge but also prepare you for insightful discussions during interviews with us.
We think you need these skills to ace Azure Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Azure Data Factory, Data Bricks, and Python. Include specific projects where you've implemented data strategies or developed data models to showcase your skills.
Craft a Strong Cover Letter: In your cover letter, emphasise your understanding of data architecture and your experience with CI/CD using Azure Pipelines. Mention how you can contribute to the company's data strategies and goals.
Showcase Relevant Projects: If you have worked on large-scale data ingestion or transformation projects, describe these in your application. Highlight your role, the technologies used, and the outcomes achieved to demonstrate your capabilities.
Highlight Collaboration Skills: Since the role requires working with various teams, mention any past experiences where you collaborated effectively with business or application teams. This will show that you can work both independently and as part of a team.
How to prepare for a job interview at Avance Consulting
✨Showcase Your Technical Skills
Make sure to highlight your experience with Azure Data Factory, Data Bricks, and Advanced SQL during the interview. Be prepared to discuss specific projects where you implemented these technologies and how they contributed to successful data strategies.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss scenarios where you've tackled complex data challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your ability to design and deliver large-scale data solutions.
✨Understand the Business Context
Research the company’s industry and understand their data needs. Be ready to explain how your data strategies can align with their business goals, demonstrating that you can bridge the gap between IT and business requirements.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data architecture and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
