Data Engineer: Azure Pipelines & Data Platform in London

Data Engineer: Azure Pipelines & Data Platform in London

London Full-Time 49882 - 60966 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build data solutions using Azure to support business needs.
  • Company: Join 7IM, a leader in financial services with a focus on innovation.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
  • Other info: Collaborate with a talented team in a regulated industry.
  • Why this job: Make a real impact by modernising data platforms in a dynamic environment.
  • Qualifications: Experience with Azure and a passion for data engineering.

The predicted salary is between 49882 - 60966 £ per year.

7IM is seeking a data engineer to design, build, test and release data solutions that support business requirements.

You will work in the data engineering team to deliver robust pipelines and contribute to modernising the data platform, tools and processes.

The role focuses on Azure-based data platforms, data governance, and working with stakeholders to implement scalable data solutions in a regulated financial services environment.

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Data Engineer: Azure Pipelines & Data Platform in London employer: 7IM

At 7IM, we pride ourselves on being an exceptional employer, offering a collaborative work culture that fosters professional growth and development. As a Senior Paraplanner, you will not only play a crucial role in supporting our advisers but also have the opportunity to mentor junior staff, ensuring a rewarding career path in the heart of financial planning. Our commitment to compliance and excellence, combined with a supportive team environment, makes 7IM a fantastic place to build your future.

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Contact Details:

7IM Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer: Azure Pipelines & Data Platform in London

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Apply Directly through Our Website

When you find a suitable opening like Data Engineer: Azure Pipelines & Data Platform at 7IM, 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: Azure Pipelines & Data Platform in London

Data Pipeline Development
Data Engineering
Python
Communication Skills
Data Governance
Automation
Problem-Solving Skills

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 7IM, 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 7IM. 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 7IM

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

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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.