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- Tasks: Join our Data Engineering team to design and deliver cutting-edge analytics solutions.
- Company: Avanade is a leading IT services company, recognised for its innovative approach and partnership with Microsoft.
- Benefits: Enjoy flexible work options, extensive training, and a supportive, inclusive culture.
- Why this job: Work with the latest technologies and high-profile clients while developing your skills in a collaborative environment.
- Qualifications: Experience in Data Engineering and familiarity with Azure technologies like Databricks and SQL are essential.
- Other info: This role offers opportunities for mentorship and personal development within a diverse team.
The predicted salary is between 36000 - 60000 £ per year.
As a member of the Data Engineering team, you\’ll have access to the research, knowledge, and tools to create leading-edge solutions across Avanade\’s Data & AI practice. The role of Data Engineer is perfect for ambitious technologists passionate about working with the latest Microsoft Fabric and / or Azure Databricks technologies to deliver modern, highly scalable data platforms for all our client\’s analytics and AI needs. Our clients look to us for innovation, which means you\’ll have early access to the latest technologies so you can master them and stay ahead of the curve.
Duties
- Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
- Evangelise and evolve best practices for our clients and our team including to mentor your colleagues, supporting their personal development
- Constantly developing technical skills in the latest Azure and Databricks technologies – achieving & maintaining relevant certifications
- Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors and Demonstrable end-to-end experience in Data Engineering, including large-scale projects
- Experience in working with the latest Azure technologies, such as Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen 2), Purview, Cosmos DB, Open AI, Azure ML, AI Foundary, Kubernetes
- Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL
- Confident communicator who is able to explain technical terms to non-technical audiences and mentor junior colleagues
- Leads small development teams: track work, manage assignments, manage capacity, etc
Characteristics that can spell success for this role
- Analytical, curious, agile
- Team player and good communicator
- Problem-solver, patient, quality-driven
- Self-motivating
- Innovative mindset
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Data Engineering Consultant employer: Avanade
Contact Detail:
Avanade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Consultant
✨Tip Number 1
Familiarise yourself with the latest Azure technologies mentioned in the job description, such as Databricks and Azure Data Lake Storage. This will not only help you understand the role better but also allow you to speak confidently about how you can leverage these tools during your interview.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of past projects where you tackled complex data challenges. Be ready to discuss your thought process and the impact of your solutions on the business.
✨Tip Number 3
Network with current or former employees of Avanade, especially those in the Data Engineering team. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during the interview.
✨Tip Number 4
Prepare to demonstrate your communication skills by practising how to explain technical concepts to non-technical audiences. This is crucial for the role, so think of ways to simplify complex ideas without losing their essence.
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 experience in Data Engineering, particularly with Azure technologies like Databricks and Data Factory. Use specific examples from your past projects to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how you can help clients tackle complex business issues. Mention your familiarity with the latest technologies and your eagerness to learn and grow within the role.
Showcase Relevant Skills: Clearly outline your technical skills, such as proficiency in Python, Scala, or SQL, and your experience with data modelling. Highlight any leadership experience, especially if you've mentored junior colleagues or led small teams.
Prepare for Technical Questions: Anticipate technical questions related to Data Engineering and Azure technologies during the interview process. Brush up on your knowledge of software engineering concepts and be ready to explain them in simple terms to non-technical audiences.
How to prepare for a job interview at Avanade
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure technologies like Databricks and Data Factory. Highlight specific projects where you've successfully implemented these tools, as this will demonstrate your hands-on expertise.
✨Communicate Clearly
As a Data Engineering Consultant, you'll need to explain complex technical concepts to non-technical clients. Practice articulating your thoughts clearly and concisely, using relatable examples to ensure understanding.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss past challenges you've faced in data engineering and how you overcame them. This will showcase your analytical mindset and ability to think critically under pressure.
✨Emphasise Team Collaboration
Since the role involves leading small development teams, be ready to share experiences where you've successfully collaborated with others. Highlight your ability to mentor junior colleagues and foster a supportive team environment.