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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 while developing your technical and stakeholder engagement skills.
- Qualifications: Proficiency in Python, SQL, Azure, and strong communication skills are essential.
- Other info: Positions available at multiple 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:
- Competitive Salary
- Bonus
- Cash Car Allowance (paid out same as base salary - £4,000)
- Hybrid Working (3 days in office, 2 from home)
HOW TO APPLY
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) (Edinburgh) employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant (multiple levels) (Edinburgh)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, especially Azure services like Databricks and Azure Data Factory. Having hands-on experience or projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are essential for the role. Consider working on a small project or contributing to open-source projects that showcase your coding abilities and problem-solving skills.
✨Tip Number 3
Prepare to demonstrate your stakeholder engagement skills. Think of examples where you've successfully communicated complex technical concepts to non-technical audiences, as this will be crucial in your role as a Data Engineering Consultant.
✨Tip Number 4
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your application process.
We think you need these skills to ace Data Engineering Consultant (multiple levels) (Edinburgh)
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 Strong 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 ability to communicate complex technical concepts clearly and effectively.
Highlight Team Collaboration: Mention any previous experiences where you collaborated within a team on data projects. This will show your ability to work effectively with other Data Engineering Consultants and contribute to a team environment.
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 to the role.
✨Understand the Company’s Projects
Research the types of projects the consultancy is involved in. Being able to discuss how your skills can contribute to their ongoing projects will show that you are genuinely interested and have done your homework.
✨Prepare for Stakeholder Engagement Scenarios
Since the role requires effective communication with non-technical stakeholders, prepare for scenarios where you might need to explain complex data concepts in simple terms. Practising this will help you convey your ideas clearly during the interview.
✨Familiarise Yourself with DevOps Practices
Brush up on your knowledge of DevOps best practices, especially CI/CD processes using Azure DevOps. Be ready to discuss how you have implemented these practices in past projects, as this is a key aspect of the role.
