Senior Data Engineer in Manchester

Senior Data Engineer in Manchester

Manchester Full-Time 55000 £ / year Home office (partial)
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At a Glance

  • Tasks: Join a leading university to enhance digital and data capabilities as a Senior Data Engineer.
  • Company: Renowned university in the North West with a focus on innovation.
  • Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
  • Why this job: Make a significant impact in a dynamic environment while advancing your career.
  • Qualifications: Experience in data engineering and a passion for technology.

Do you have the following skills, experience and drive to succeed in this role? Find out below.

Salary: £48,000 - £56,000

Contract: Permanent, 37 Hours Per Week

Location: Manchester, Hybrid Working

We're working with a leading university in the North West to recruit a Senior Data Engineer to join its Software Engineering function. This is an excellent opportunity to join an organisation investing heavily in its digital and data capabilities, where you'll play a key role in...

Senior Data Engineer in Manchester employer: Keystream Group Limited

Join a leading university in the North West as a Senior Data Engineer, where you'll be part of a dynamic team dedicated to advancing digital and data capabilities. Enjoy a supportive work culture that prioritises employee growth through continuous learning opportunities and hybrid working arrangements, allowing for a balanced professional and personal life. With competitive salaries and a commitment to innovation, this is an excellent employer for those seeking meaningful and rewarding employment.

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Contact Details:

Keystream Group Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer 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 Keystream Group Limited!

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 Senior Data Engineer at Keystream Group Limited.

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 Keystream Group Limited.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Engineer at Keystream Group Limited, 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 Senior Data Engineer in Manchester

Python
Problem-Solving Skills
SQL
Communication Skills
Attention to Detail
Data Engineering
Data Pipeline Development

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 Keystream Group Limited, 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 Keystream Group Limited. 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 Keystream Group Limited

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 Keystream Group Limited!

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.