At a Glance
- Tasks: Design and deliver cutting-edge analytics solutions using Azure and Databricks technologies.
- Company: Join a globally recognised team at a leading Microsoft partner.
- Benefits: Exceptional training, paid certifications, and real-time access to global resources.
- Other info: Inclusive culture with a strong focus on personal development and teamwork.
- Why this job: Make a real impact by solving complex data challenges for high-profile clients.
- Qualifications: Experience in Data Engineering and familiarity with Azure technologies required.
The predicted salary is between 55000 - 65000 £ 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, take your skills to a new level and launch a career where you can truly do what matters.
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.
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 colleagues and supporting their personal development.
- Constantly develop technical skills in the latest Azure and Databricks technologies, achieving and maintaining relevant certifications.
- Work 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 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 Foundry, Kubernetes.
- Understanding of software engineering tools and concepts, including experience in Python, Scala or PySpark, database technologies, data modelling and SQL.
- Confident communicator who can explain technical terms to non‑technical audiences and mentor junior colleagues.
- Leads small development teams: tracks work, manages assignments, manages capacity, etc.
About you:
- Analytical, curious, agile.
- Team player and good communicator.
- Problem‑solver, patient, quality‑driven.
- Self‑motivating.
- Innovative mindset.
Enjoy your career:
- 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.
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees.
Data Engineering Consultant employer: Dormont Manufacturing Co
At Avanade, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among our talented Data Engineering team. With access to cutting-edge technologies and a commitment to continuous professional development, including a minimum of 80 hours of training and paid certifications annually, we empower our employees to thrive in their careers while working with high-profile clients across diverse sectors. Join us in a dynamic environment where your contributions truly matter, and experience the benefits of being part of a globally recognised leader in data and AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Consultant
✨Get Involved in Data Science Meetups
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineering Consultant at Dormont Manufacturing Co.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
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We think you need these skills to ace Data Engineering Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
