At a Glance
- Tasks: Build Python-based API integrations and connect systems with Azure SQL Data Warehouse.
- Company: Join Roma Finance, a forward-thinking company in Manchester.
- Benefits: Enjoy hybrid working, training opportunities, and skill development.
- Other info: Great opportunity for growth in a dynamic tech environment.
- Why this job: Kickstart your career in data engineering and make an impact with your skills.
- Qualifications: Ideal for Python developers with ~1 year experience or strong CS background.
The predicted salary is between 54000 - 66000 £ per year.
Roma Finance is seeking a Junior Data Engineer to join the Data & Technology team in Manchester.
You will build Python-based API integrations to connect core systems with Azure SQL Data Warehouse, ensuring data flows to Power BI reports and dashboards.
This role is ideal for a Python developer with ~1 year of commercial experience or a strong CS background, with a grounding in SQL.
Hybrid working is offered, and training will grow your data engineering skills.
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Junior Data Engineer: Python & Azure Data Pipelines in Manchester employer: Roma Finance
Roma Finance is an excellent employer, offering a dynamic work environment in the heart of Manchester. With a strong focus on employee growth and development, we provide opportunities for professional advancement while fostering a collaborative culture that values innovation and teamwork. Our hybrid working model ensures flexibility, allowing you to balance your personal and professional life effectively.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer: Python & Azure Data Pipelines in Manchester
✨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 Roma Finance!
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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 Roma Finance.
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When you find a suitable opening like Junior Data Engineer: Python & Azure Data Pipelines at Roma Finance, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Engineer: Python & Azure Data Pipelines in Manchester
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 Roma Finance, 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 Roma Finance. 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 Roma Finance
✨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 Roma Finance!
✨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.
