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- Tasks: Join a dynamic team delivering impactful Data Engineering projects for diverse clients.
- Company: A major global consultancy scaling its Data function across various industries.
- Benefits: Enjoy a competitive salary, bonus, car allowance, and hybrid working options.
- Why this job: Work on exciting projects, enhance your skills, and engage with stakeholders in a collaborative environment.
- Qualifications: Proficiency in Python, SQL, Azure, and strong communication skills are essential.
- Other info: Multiple levels available; no sponsorship offered for this role.
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.
Benefits include:
- Competitive Salary
- Bonus
- Cash Car Allowance (paid out same as base salary - £4,000)
- Hybrid Working (3 days in office, 2 from home)
Please register your interest by clicking the Apply Link or send your CV to luke.frost@xcede.com. There is no sponsorship available for this role.
Data Engineering Consultant (multiple levels) (City of London) employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant (multiple levels) (City of London)
✨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 knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Network with current employees or professionals in the Data Engineering field, particularly those who work with Azure. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used Python and SQL in previous projects. Being able to articulate your experience with specific scenarios will showcase your technical skills and problem-solving abilities effectively.
✨Tip Number 4
Practice your communication skills, especially in explaining technical concepts to non-technical stakeholders. This is crucial for the role, so consider role-playing scenarios where you need to simplify complex data engineering topics for a business audience.
We think you need these skills to ace Data Engineering Consultant (multiple levels) (City of London)
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 projects.
Showcase Communication Skills: Since the role requires engaging with non-technical stakeholders, include examples in your application that demonstrate your strong communication skills and ability to convey complex technical concepts in an understandable way.
Highlight Team Collaboration: Emphasise your experience working in teams on Data Engineering projects. Mention any collaborative tools or methodologies you've used, especially those related to DevOps practices like CI/CD.
How to prepare for a job interview at Xcede
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Python, SQL, and Azure during the interview. Prepare specific examples of projects where you've successfully used these technologies, as this will demonstrate your technical ability and relevance for the role.
✨Understand the Company’s Projects
Research the consultancy's recent projects and clients. Being able to discuss how your skills can contribute to their ongoing work will show that you're genuinely interested and have done your homework.
✨Prepare for Stakeholder Engagement Questions
Since the role requires effective communication with non-technical stakeholders, be ready to discuss past experiences where you successfully engaged with business teams. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Familiarise Yourself with DevOps Practices
Brush up on your knowledge of DevOps best practices, especially CI/CD processes. Be prepared to discuss how you've implemented these in previous roles, particularly using Azure DevOps, as this is a key requirement for the position.
