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- Tasks: Gather client requirements and translate them into actionable data insights.
- Company: Join a leading Data Consultancy and Microsoft Gold Partner.
- Benefits: Work in a dynamic environment with opportunities for innovation and growth.
- Why this job: Be at the forefront of data solutions that drive smarter decision-making.
- Qualifications: Experience with Azure Data Services, strong Python and SQL skills required.
- Other info: This is a client-facing role; sponsorship is not available.
The predicted salary is between 36000 - 60000 £ per year.
Data Consultant / Data Engineer – Microsoft Gold Partner
We're currently working closely with a leading Data Consultancy who are also a Microsoft Gold Partner. They're looking to hire a Data Consultant in their Consulting Division. This is a very client facing role as you'll be responsible for gathering client requirements through both interviews and workshops and translating these into clear business insights.
You will be responsible for designing and delivering innovative data solutions that support smarter decision-making. You will work closely with clients to understand their needs, architect data-driven solutions, and implement scalable analytics platforms.
As well as this, the role will involve gathering business requirements, developing data models, and ensuring analytics solutions align with both technical and commercial objectives.
Technical Requirements:
- Experience with Microsoft Azure Data Services (Microsoft Fabric, Databricks, Synapse Analytics and Azure Data Factory).
- Strong Python and SQL skills.
Please note that Sponsorship isn't available for this role.
Data Engineer employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with Microsoft Azure Data Services, especially Microsoft Fabric, Databricks, Synapse Analytics, and Azure Data Factory. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills. Consider working on personal projects or contributing to open-source projects that showcase your ability to manipulate and analyze data effectively.
✨Tip Number 3
Prepare for client-facing scenarios by practicing how to gather requirements through interviews and workshops. Role-playing these situations with a friend can help you articulate your approach and build confidence.
✨Tip Number 4
Research the company’s previous projects and case studies. Understanding their work will not only help you tailor your responses but also demonstrate your genuine interest in their consultancy and how you can contribute.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and technical requirements. Highlight your experience with Microsoft Azure Data Services, Python, and SQL in your application.
Tailor Your CV: Customize your CV to reflect your relevant experience as a Data Engineer. Focus on projects where you gathered client requirements, designed data solutions, and implemented analytics platforms. Use specific metrics to demonstrate your impact.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your ability to translate client needs into actionable insights. Mention your experience with workshops and interviews to gather requirements effectively.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, and that your documents are well-organized and professional.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Understand the Client-Facing Aspect
Since this role is very client-facing, be prepared to discuss your experience in gathering client requirements. Share examples of how you've successfully translated client needs into actionable insights.
✨Showcase Your Technical Skills
Highlight your experience with Microsoft Azure Data Services, Python, and SQL during the interview. Be ready to provide specific examples of projects where you utilized these technologies to deliver data solutions.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss how you've approached complex data challenges in the past. Think about scenarios where you designed innovative data solutions that supported decision-making and be ready to explain your thought process.
✨Align with Business Objectives
Make sure to convey your understanding of aligning analytics solutions with both technical and commercial objectives. Discuss how you've ensured that your data models meet business goals in previous roles.
