At a Glance
- Tasks: Design and deliver enterprise-grade analytics solutions using Azure and Databricks.
- Company: Join a leading Microsoft Global Alliance Partner with a focus on innovation.
- Benefits: Exceptional training opportunities, paid certifications, and access to global resources.
- Other info: Collaborate with top experts and enjoy a dynamic, supportive work environment.
- Why this job: Make a real impact by helping clients solve complex data challenges.
- Qualifications: Experience in Data Engineering and familiarity with Azure technologies required.
The predicted salary is between 60000 - 80000 £ per year.
Our talented Data Engineering team is made up of globally recognised experts – and there’s room for more analytical, innovative, client‑driven data professionals.
If you’re passionate about helping clients make better data‑driven decisions to tackle their most complex business issues, let’s talk.
What you’ll do:
- 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 mentoring 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.
Skills and experiences:
- 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 (Gen2), Purview, Cosmos DB, OpenAI, AzureML, AIFoundry, 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.
About you:
- Analytical, curious, agile.
- Team player and good communicator.
- Problem‑solver, patient, quality‑driven.
- Self‑motivating, innovative mindset.
Benefits:
- Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications).
- Real‑time access to technical and skilled resources globally.
- Collaborate with some of the brightest Microsoft minds, build your expertise, solve problems, learn, and develop.
- Access to a company purpose‑built for business‑critical, leading‑edge technology solutions, committed to improving the way humans work, interact, and live.
Data Engineering Consultant employer: 3004 Avanade UK Limited Company
As a Data Engineering Consultant at our company, you will join a dynamic team of globally recognised experts dedicated to driving data-driven decision-making for high-profile clients. We offer exceptional development opportunities, including a minimum of 80 hours of training and paid certifications annually, fostering a culture of continuous learning and innovation. Located in a collaborative environment, you will have the chance to work with cutting-edge technologies and some of the brightest minds in the industry, making this an ideal place for those seeking meaningful and rewarding employment.
Contact Details:
3004 Avanade UK Limited Company Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Consultant
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in data engineering. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those using Azure and Databricks. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineering Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your end-to-end Data Engineering experience and any relevant Azure technologies you've worked with. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can help our clients tackle their complex business issues. Be sure to mention any mentoring or leadership experiences, as we value team players.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! Whether it's Python, Scala, or your experience with Databricks, make sure these are front and centre. We’re looking for someone who’s constantly developing their skills, so any certifications or training should definitely be included.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our awesome team at StudySmarter!
How to prepare for a job interview at 3004 Avanade UK Limited Company
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure and Databricks technologies. Be ready to discuss your experience with tools like Data Factory, Azure Data Lake Storage, and any relevant certifications you've achieved. This shows you're not just familiar but truly engaged with the tech.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in past projects. Highlight your analytical mindset and how you approached problem-solving, especially in a team setting. This will demonstrate your ability to think critically and work collaboratively.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in simple terms. You might be asked to present solutions to non-technical stakeholders, so being able to communicate effectively is key. Think about how you can make complex ideas accessible and engaging.
✨Be Ready to Mentor
Since mentoring is part of the role, come prepared with thoughts on how you would support junior colleagues. Share your experiences of leading teams and how you’ve helped others grow. This shows that you’re not just a lone wolf but a team player who values collaboration.
