Azure Data Engineer β€” Real-Time Analytics for Energy Markets in London

Azure Data Engineer β€” Real-Time Analytics for Energy Markets in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
RocketFin Inc

At a Glance

  • Tasks: Build and enhance data pipelines for real-time analytics in energy markets.
  • Company: RocketFin Inc, a dynamic player in the energy trading sector.
  • Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
  • Other info: Fast-paced environment with great potential for career advancement.
  • Why this job: Join a cutting-edge team and make an impact in the energy market.
  • Qualifications: Proficiency in Python and experience with Azure services required.

The predicted salary is between 63000 - 77000 Β£ per year.

Rocket Fin Inc in Greater London is looking for a skilled Data Engineer to build and enhance data pipelines and automation workflows on Azure.

Responsibilities include maintaining and optimizing toolkits, databases, and supporting real-time analytics within a dynamic trading environment.

The ideal candidate will have strong proficiency in Python and hands-on experience with Azure services like Data Factory and Databricks.

Familiarity with Snowflake data models and third-party market data APIs is essential for success in this role.

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Azure Data Engineer β€” Real-Time Analytics for Energy Markets in London employer: RocketFin Inc

RocketFin Inc is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those looking to grow their careers in data engineering within the fast-paced energy markets sector.

RocketFin Inc

Contact Details:

RocketFin Inc Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Azure Data Engineer β€” Real-Time Analytics for Energy Markets in London

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When you find a suitable opening like Azure Data Engineer β€” Real-Time Analytics for Energy Markets at RocketFin Inc, 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 β€” Real-Time Analytics for Energy Markets in London

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration

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!

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Craft a Tailored Cover Letter:For a full-time role at RocketFin Inc, 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 RocketFin Inc. 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 RocketFin Inc

✨Brush Up on Your Statistics

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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

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✨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.