At a Glance
- Tasks: Build and maintain Python-based data pipelines and scalable solutions on Azure.
- Company: Profectus Recruitment, a leader in enterprise data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on security and compliance.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Strong Python experience and knowledge of ETL/ELT processes.
The predicted salary is between 60750 - 74250 £ per year.
Profectus Recruitment is seeking a Senior Data Engineer/Developer with strong Python experience to join our Enterprise Data team in Reading.
You will build and maintain Python-based data pipelines and ETL/ELT integrations, design scalable data solutions on Azure, and work with APIs and multiple data sources to support BI and analytics.
You'll collaborate with architects, analysts and other technical teams while ensuring security, governance and compliance across production pipelines.
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Senior Azure Data Engineer (Python) — Cloud Data Pipelines in Reading employer: Profectus Recruitment
Join a forward-thinking company that values innovation and collaboration, offering a hybrid work environment in Reading. As a Senior Buyer, you'll benefit from a supportive culture that prioritises professional growth, with opportunities to lead impactful projects and enhance supplier relationships. Enjoy competitive remuneration and the chance to contribute to meaningful operational improvements within a dynamic technical services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer (Python) — Cloud Data Pipelines in Reading
✨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 Profectus Recruitment!
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We think you need these skills to ace Senior Azure Data Engineer (Python) — Cloud Data Pipelines in Reading
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 Profectus Recruitment, 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 Profectus Recruitment. 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 Profectus Recruitment
✨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 Profectus Recruitment!
✨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.
