At a Glance
- Tasks: Build and operate Azure Databricks workspaces in a hybrid environment.
- Company: Join AVEVA, a leader in cloud engineering and data platforms.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for growth.
- Other info: Dynamic team environment with a focus on automation and collaboration.
- Why this job: Make an impact by ensuring operational reliability and supporting innovative data solutions.
- Qualifications: 5+ years in cloud/platform engineering with skills in Python, SQL, and networking security.
The predicted salary is between 60000 - 80000 £ per year.
AVEVA is seeking a Cloud Engineer for Data Platforms to build and operate Azure Databricks workspaces in a hybrid work environment. The ideal candidate will possess strong expertise in Azure and Databricks, with at least 5 years of cloud/platform engineering experience.
Responsibilities include:
- Ensuring operational reliability
- Supporting ETL/ELT pipelines
- Implementing automation practices
Candidates skilled in Python, SQL, and networking security measures will thrive in this role.
Senior Azure Databricks Platform Engineer (Hybrid) in London employer: AVEVA
AVEVA is an exceptional employer that fosters a collaborative and innovative work culture, offering employees the chance to work on cutting-edge cloud technologies in a hybrid environment. With a strong emphasis on professional development, team members are encouraged to grow their skills through continuous learning opportunities and mentorship. The company's commitment to operational excellence and employee well-being makes it a rewarding place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Databricks Platform Engineer (Hybrid) in London
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We think you need these skills to ace Senior Azure Databricks Platform Engineer (Hybrid) in London
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 AVEVA, 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 AVEVA. 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 AVEVA
✨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 AVEVA!
✨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.
