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- Tasks: Join a dynamic team to deliver impactful Data Engineering projects using Python and Azure.
- Company: A leading global consultancy with diverse industry projects and a strong focus on data innovation.
- Benefits: Enjoy a competitive salary, bonus, cash car allowance, and hybrid working options.
- Why this job: Be part of exciting projects that enhance your skills while making a real impact for clients.
- Qualifications: Solid experience in Python, SQL, Azure, and DevOps best practices is essential.
- Other info: Opportunities 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 Engineering Consultant employer: Xcede
Contact Detail:
Xcede 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 knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with current employees or professionals in the field through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare for technical assessments by practising coding challenges in Python and SQL. Websites like LeetCode or HackerRank can be great resources to sharpen your skills and get comfortable with the types of problems you might face during the interview process.
✨Tip Number 4
Showcase your understanding of DevOps practices, particularly CI/CD, as this is a key requirement for the role. You could even create a small project that demonstrates your ability to implement these practices using Azure DevOps, which can 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 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 past projects.
Showcase DevOps Knowledge: If you have experience with CI/CD practices, especially using Azure DevOps, make sure to include this in your application. Highlight any specific instances where you've implemented these practices in your work.
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. Familiarise yourself with their client portfolio and be ready to discuss how your experience aligns with their needs. This shows genuine interest and helps you stand out.
✨Demonstrate Team Collaboration
Since the role involves working within a team, be prepared to share examples of how you've effectively collaborated with others on data engineering projects. Highlight your communication skills and ability to engage stakeholders.
✨Familiarise Yourself with DevOps Practices
Brush up on DevOps best practices, especially CI/CD processes. If you have experience with Azure DevOps, be ready to discuss it. This knowledge is crucial for delivering impactful data engineering projects.
