At a Glance
- Tasks: Support digital solutions and manage CI/CD pipelines in a collaborative team.
- Company: Leading energy company in Greater London focused on innovation.
- Benefits: Salary of £40,000, 7.5% bonus, and blended working options.
- Other info: Great opportunity for professional growth in a fast-paced environment.
- Why this job: Join a dynamic team and accelerate your career in digital transformation.
- Qualifications: Interest in DevOps and analytics with a passion for technology.
The predicted salary is between 36000 - 60000 £ per year.
A leading energy company in Greater London is seeking a Junior DevOps Engineer to support digital solutions and accelerate digital transformation. In this role, you will collaborate with the Analytics & DevOps team, manage CI/CD pipelines, and maintain machine learning models and applications.
The position offers a salary of £40,000 and a 7.5% bonus, with blended working options after the probation period. Join a dynamic team focused on innovation and professional growth.
Hybrid Junior DevOps & Analytics Engineer in London employer: Alternative Networks (now part of Daisy Group)
As a leading energy company in Greater London, we pride ourselves on fostering a dynamic work culture that prioritises innovation and professional growth. Our employees benefit from competitive salaries, performance bonuses, and flexible working arrangements, allowing for a healthy work-life balance. Join us to be part of a collaborative team that is at the forefront of digital transformation in the energy sector.
Contact Details:
Alternative Networks (now part of Daisy Group) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Junior DevOps & Analytics Engineer in London
✨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 Alternative Networks (now part of Daisy 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 Hybrid Junior DevOps & Analytics Engineer at Alternative Networks (now part of Daisy 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 Alternative Networks (now part of Daisy Group).
✨Apply Directly through Our Website
When you find a suitable opening like Hybrid Junior DevOps & Analytics Engineer at Alternative Networks (now part of Daisy 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 Hybrid Junior DevOps & Analytics Engineer in London
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 Alternative Networks (now part of Daisy 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 Alternative Networks (now part of Daisy 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 Alternative Networks (now part of Daisy 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 Alternative Networks (now part of Daisy 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.
