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- Tasks: Join a dynamic team to deliver impactful Data Engineering projects using Python and Azure.
- Company: A major global consultancy with diverse industry projects and a strong focus on data.
- Benefits: Enjoy hybrid working, a cash car allowance, and performance bonuses.
- Why this job: Be part of exciting projects while developing your technical and stakeholder engagement skills.
- Qualifications: Proficiency in Python, SQL, Azure, and DevOps practices is essential.
- Other info: Positions available at various levels; no sponsorship offered.
The predicted salary is between 40000 - 65000 £ per year.
A major global consultancy operating across a breadth of industries & sectors is scaling its Data function and hiring for multiple Data Engineering Consultants across various levels (Consultant, Senior & Principal). You will be joining a Data function working across a breadth of interesting projects for their clients, demonstrating both technical ability and stakeholder engagement skills when delivering impactful Data Engineering projects.
Your responsibilities as a Data Engineering Consultant will include but not be limited to:
- Leverage your technical expertise in Data Engineering to deliver impactful projects for a range of clients across their portfolio.
- Demonstrate your knowledge of Python & Azure to deliver on engagements for major clients.
- Collaborate effectively within a team of other Data Engineering Consultants on a breadth of projects.
- Effectively engage and communicate with non-technical stakeholders in a role that requires both technical ability and business-facing skills.
A successful Data Engineering Consultant will have the following:
- Solid technical ability in Python, SQL & Azure (essential).
- Strong proficiency in Microsoft Azure and relevant tools/technologies (Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse).
- Proven understanding of DevOps best practices: CI/CD (Azure DevOps is preferred).
- Solid communication skills and business-facing/stakeholder engagement experience.
THE BENEFITS:
- Bonus
- Cash Car Allowance (paid out same as base salary - £4,000)
- Hybrid Working (3 days in office, 2 from home)
There is no sponsorship available for this role.
Data Engineering Consultant employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in Data Engineering, especially focusing on Azure tools like Databricks and Azure Data Factory. This will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current or former employees of the consultancy to gain insights into their work culture and expectations. This can provide you with valuable information that you can use to tailor your approach when discussing your fit for the role.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss specific projects where you've successfully used Python and SQL to deliver results, as this will showcase your technical expertise effectively.
✨Tip Number 4
Practice articulating complex technical concepts in simple terms. Since the role requires engaging with non-technical stakeholders, being able to explain your work clearly will set you apart from other candidates.
We think you need these skills to ace Data Engineering Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical skills in Python, SQL, and Azure. Include specific projects or experiences that demonstrate your ability to deliver impactful Data Engineering solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention your experience with Azure tools like Databricks and Azure Data Factory, and how you can contribute to their Data function.
Showcase Stakeholder Engagement Skills: In your application, emphasise your communication skills and any experience you have working with non-technical stakeholders. This is crucial for the role, so provide examples of how you've successfully engaged with clients or team members.
Highlight DevOps Knowledge: If you have experience with CI/CD and Azure DevOps, make sure to include this in your application. Companies are looking for candidates who understand DevOps best practices, so be clear about your proficiency in this area.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Python, SQL, and Azure during the interview. Be prepared to discuss specific projects where you've successfully applied these skills, as this will demonstrate your technical ability and relevance for the role.
✨Prepare for Stakeholder Engagement
Since the role requires effective communication with non-technical stakeholders, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and business needs, which is crucial for a Data Engineering Consultant.
✨Familiarise Yourself with DevOps Practices
Brush up on your knowledge of DevOps best practices, particularly CI/CD processes using Azure DevOps. Being able to discuss how you've implemented these practices in past projects will set you apart from other candidates.
✨Research the Company and Its Projects
Take some time to understand the consultancy's portfolio and the types of projects they work on. This will not only help you tailor your answers but also show your genuine interest in the company and its mission during the interview.
