At a Glance
- Tasks: Lead Azure data initiatives and modernise data platforms for impactful analytics.
- Company: Huxley, a forward-thinking company in the tech industry.
- Benefits: Flexible work with a weekly in-office day and opportunities for professional growth.
- Other info: Join a supportive team focused on innovation and career advancement.
- Why this job: Make a real impact on data-driven decision making in a dynamic environment.
- Qualifications: Experience in data engineering, Azure, and collaboration with BI teams.
The predicted salary is between 45000 - 55000 £ per year.
Huxley is seeking a Senior Data Engineer to lead Azure data initiatives in London or Glasgow with a weekly in-office day.
The role focuses on modernising data platforms using Microsoft Fabric/One Lake, medallion architecture, and serverless storage to power analytics and executive decision making.
You will own ingestion pipelines, EDW support, and data models for gold-ready insights, collaborating with BI teams across a scalable, secure cloud estate.
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Senior Data Engineer: Azure Fabric & OneLake Modernization employer: Huxley
As an Investment Bank located in the heart of London, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our hybrid working model allows for a balanced approach to work-life integration, while our commitment to employee development ensures that you will have ample opportunities for growth and advancement within the organisation. Join us to be part of a forward-thinking team where your expertise in Oracle EPM and ERP will be instrumental in driving operational excellence and shaping the future of finance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Azure Fabric & OneLake Modernization
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Huxley!
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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 Huxley.
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We think you need these skills to ace Senior Data Engineer: Azure Fabric & OneLake Modernization
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 Huxley, 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 Huxley. 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 Huxley
✨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!
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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 Huxley!
✨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.
