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- Tasks: Join a team delivering impactful Data Engineering projects using Python and Azure.
- Company: A major global consultancy with diverse industry projects and a strong data focus.
- Benefits: Enjoy a competitive salary, bonus, car allowance, and hybrid working options.
- Why this job: Work on exciting projects, enhance your skills, and collaborate with talented professionals.
- Qualifications: Solid experience in Python, SQL, Azure, and DevOps best practices required.
- Other info: Positions available at various levels: Consultant, Senior, and Principal.
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.
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).
Competitive Salary, Bonus, Cash Car Allowance (paid out same as base salary - £4,000), Hybrid Working (3 days in office, 2 from home).
Data Engineer / Consultant employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer / Consultant
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure Data Factory and Databricks. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences at the company can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges that focus on Python and SQL. Websites like LeetCode or HackerRank can help you sharpen your skills and boost your confidence before the interview.
✨Tip Number 4
Showcase your understanding of DevOps practices during discussions. Being able to articulate how CI/CD processes work and how you've applied them in past projects will demonstrate your readiness for the role.
We think you need these skills to ace Data Engineer / 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 expertise in these areas, especially any relevant tools like Databricks or Azure Data Factory.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the role. Mention how your experience aligns with the responsibilities outlined in the job description, particularly your ability to collaborate on impactful projects.
Highlight Stakeholder Engagement Skills: Since stakeholder engagement is key for this role, provide examples in your application of how you've successfully communicated and collaborated with clients or team members in previous projects.
Showcase DevOps Knowledge: If you have experience with DevOps practices, particularly CI/CD using Azure DevOps, make sure to include this in your application. This will demonstrate your comprehensive understanding of the data engineering lifecycle.
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. Be prepared to discuss specific projects where you've successfully applied these skills, 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 experience aligns with their current work will show that you are genuinely interested and can contribute effectively to their team.
✨Emphasise Team Collaboration
Since the role involves working closely with other Data Engineering Consultants, be ready to share examples of how you've successfully collaborated in past projects. Highlight your communication skills and ability to engage with stakeholders.
✨Familiarise Yourself with DevOps Practices
Brush up on DevOps best practices, especially CI/CD processes. If you have experience with Azure DevOps, make sure to mention it, as this knowledge is essential for the role and will set you apart from other candidates.
