Data Engineer: Scalable Financial Pipelines (Hybrid) in Manchester

Data Engineer: Scalable Financial Pipelines (Hybrid) in Manchester

Manchester Full-Time 60750 - 74250 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and build data pipelines for financial reporting using modern cloud platforms.
  • Company: Oscar, a forward-thinking company in Manchester with a focus on data and technology.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team and contribute to critical data governance and security.
  • Why this job: Make a real impact on business insights while working with cutting-edge technology.
  • Qualifications: Experience in data engineering and knowledge of ETL/ELT processes.

The predicted salary is between 60750 - 74250 £ per year.

Oscar in Manchester is seeking a Data Engineer to join its growing data and technology team.

This hybrid role focuses on designing, building and maintaining data pipelines using modern cloud platforms to support financial reporting and decision-making.

You will collaborate with Data Analysts, BI Developers and software engineers, optimise ETL/ELT processes, and ensure data quality, governance and security across critical datasets.

This is a hands-on role with real impact on business insights.

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Data Engineer: Scalable Financial Pipelines (Hybrid) in Manchester employer: Oscar

Join a dynamic and innovative software and Business Intelligence organisation in Hertford, where you'll thrive in a hybrid work environment that promotes flexibility and collaboration. As a Data Consultant, you'll enjoy a varied role with opportunities for professional growth, including managing projects from inception to deployment and engaging with a European customer base. The company fosters a supportive culture that values continuous learning and offers exposure to exciting industry events, making it an excellent employer for those seeking meaningful and rewarding work.

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Contact Details:

Oscar Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: Scalable Financial Pipelines (Hybrid) 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 Oscar!

✨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 Data Engineer: Scalable Financial Pipelines (Hybrid) at Oscar.

✨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 Oscar.

✨Apply Directly through Our Website

When you find a suitable opening like Data Engineer: Scalable Financial Pipelines (Hybrid) at Oscar, 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 Data Engineer: Scalable Financial Pipelines (Hybrid) in Manchester

Python
Communication Skills
Data Engineering
SQL
Data Pipeline Development
Data Governance
Data Quality Assurance

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 Oscar, 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 Oscar. 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 Oscar

✨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 Oscar!

✨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.