Data Developer (Python) in Cheshire, Knutsford

Data Developer (Python) in Cheshire, Knutsford

Cheshire +1 Full-Time 58500 - 71500 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Translate technical requirements into code and develop innovative applications.
  • Company: Join a leading financial institution with 329 years of success and innovation.
  • Benefits: Enjoy flexible working, competitive salary, and opportunities for personal growth.
  • Other info: Flexible working options to balance your life and career.
  • Why this job: Make a real impact in a supportive environment while working with cutting-edge technologies.
  • Qualifications: Experience in Python and familiarity with modern frameworks like Angular and React.js.

The predicted salary is between 58500 - 71500 £ per year.

My Client is one of the world's largest and most respected financial institutions, with 329 years of success, quality, and innovation behind us.

We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive and creating financial and digital solutions that the world now takes for granted.

Working Flexibly

We’re committed to providing a supportive and inclusive culture and environment for you to work in.

This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business.

Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs.

Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life.

If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to business needs.

We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in.

We’re flexible on how this works and it may continue to change and evolve.

Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter.

However, some colleagues may choose to spend more time in the office over a typical period than their role type requires.

We also have a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances.

Please discuss the detail of the working pattern options for the role with the hiring manager.

  • What will you be doing?
    • Translating technical requirements into code
  • Developing and maintaining applications, including but not limited to Angular, React. js, Node. js and Java
  • Creating and maintaining Dev Ops pipeline which includes creating Jenkin Jobs, writing Bash scripts and making configurations on the Open Shift platform
  • Developing and maintaining unit and e2e tests
  • Developing Po C work for different teams
  • Fixing Sonar Qube accruing issues
  • Fixing Veracode issues when needed
  • Helping the team members

Locations

CheshireKnutsford

Data Developer (Python) in Cheshire, Knutsford employer: Pemberton Tech

As one of the world's largest and most respected financial institutions, we pride ourselves on fostering a supportive and inclusive work culture that prioritises employee well-being and flexibility. Our commitment to professional growth is evident through opportunities for mentorship and collaboration within cross-functional teams, ensuring that every Salesforce Developer can thrive in their role while balancing personal commitments. With a rich history of innovation and a forward-thinking approach to hybrid working, we empower our employees to create meaningful solutions that impact millions globally.

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Contact Details:

Pemberton Tech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Developer (Python) in Cheshire, Knutsford

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 Pemberton Tech!

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 Developer (Python) at Pemberton Tech.

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 Pemberton Tech.

Apply Directly through Our Website

When you find a suitable opening like Data Developer (Python) at Pemberton Tech, 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 Developer (Python) in Cheshire, Knutsford

Problem-Solving Skills
Communication Skills
Flexibility
Adaptability
Compassion
Organizational Skills
Teamwork

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 Pemberton Tech, 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 Pemberton Tech. 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 Pemberton Tech

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 Pemberton Tech!

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.