At a Glance
- Tasks: Design and implement robust data pipelines using Microsoft Fabric, PySpark, and SQL.
- Company: Arrow Global Group, a leading player in financial services.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and make an impact with trusted data solutions.
- Qualifications: Experience in data engineering and proficiency in SQL and PySpark.
The predicted salary is between 45000 - 55000 £ per year.
Arrow Global Group in Manchester seeks an experienced Data Engineer to design and implement robust data pipelines using Microsoft Fabric, PySpark, and SQL across multiple data sources in a financial services setting. The role focuses on building scalable data ingestion, transformation, and validation workflows, while collaborating with Data Stewards, Analysts, and the Data Architect to deliver auditable, trusted data and Power BI models.
Azure Data Engineer: Fabric Pipelines & Data Quality in Manchester employer: Arrow Global Group
At Arrow, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the heart of the real estate credit sector. Our commitment to employee growth is evident through tailored development programmes and opportunities to engage directly with senior leadership, ensuring that every team member can contribute meaningfully to our €3.9bn AUM portfolio. With a culture that values critical thinking and proactive strategies, we empower our employees to excel while enjoying the unique advantages of working in a centralised, high-impact role within a leading firm.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer: Fabric Pipelines & Data Quality 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 Arrow Global Group!
✨Show Off Your Projects
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 Azure Data Engineer: Fabric Pipelines & Data Quality at Arrow Global Group.
✨Leverage Professional Networks
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 Arrow Global Group.
✨Apply Directly through Our Website
When you find a suitable opening like Azure Data Engineer: Fabric Pipelines & Data Quality at Arrow Global Group, 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 Azure Data Engineer: Fabric Pipelines & Data Quality 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 Arrow Global Group, 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 Arrow Global Group. 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 Arrow Global Group
✨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 Arrow Global Group!
✨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.
