Data Developer (REMOTE) in Leicester

Data Developer (REMOTE) in Leicester

Leicester Full-Time 51750 - 63250 £ / year (est.) Home office (partial)
Nigel Frank International

At a Glance

  • Tasks: Design and develop custom solutions in Dynamics 365 Finance & Operations.
  • Company: Join a forward-thinking tech team in Leicester with a collaborative culture.
  • Benefits: Enjoy competitive salary, flexible working, generous holidays, and professional development opportunities.
  • Other info: Be part of a friendly team with excellent career growth potential.
  • Why this job: Make an impact by working on innovative D365 implementations and integrations.
  • Qualifications: Experience in Dynamics 365 F&O and strong X++ development skills required.

The predicted salary is between 51750 - 63250 £ per year.

About the Role: We are seeking an experienced Dynamics 365 Finance & Operations (F&O) Developer to join our growing technology team in Leicester. This is a hybrid position requiring 3 days per week on-site and offers a fantastic opportunity to work on end-to-end D365 implementations and integrations in a collaborative, forward-thinking environment.

Key Responsibilities:

  • Design, develop, test, and deploy customisations and integrations in Dynamics 365 F&O.
  • Collaborate with functional consultants and business stakeholders to understand requirements and deliver robust technical solutions.
  • Develop extensions and modifications using X++ and other D365 development tools.
  • Implement data migration strategies and build data entities as required.
  • Maintain and enhance existing D365 F&O custom solutions.
  • Assist in troubleshooting system issues and performance tuning.
  • Participate in code reviews, solution architecture discussions, and continuous improvement initiatives.
  • Stay current on Microsoft updates, best practices, and emerging trends in D365.

Required Skills & Experience:

  • Proven experience as a Dynamics 365 F&O Developer, with a strong focus on X++ development.
  • Deep understanding of Microsoft Dynamics 365 F&O architecture, customisation, and integration patterns.
  • Experience with Visual Studio, Life-cycle Services (LCS), and Azure DevOps.
  • Familiarity with Finance and Supply Chain Management modules.
  • Solid understanding of data structures and data modelling within D365.
  • Knowledge of RESTful APIs and integration with external systems is a plus.
  • Strong communication and collaboration skills.
  • Ability to work independently and in a hybrid working model.

Desirable:

  • Microsoft certifications in Dynamics 365 Finance and Operations or related areas.
  • Experience with Power Platform (Power Automate, Power BI).
  • Previous involvement in full life-cycle D365 F&O implementations.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Flexible hybrid working model (3 days on-site in Leicester).
  • Generous holiday allowance and pension scheme.
  • Opportunities for training, certification, and professional development.
  • Friendly and supportive team culture.

Data Developer (REMOTE) in Leicester employer: Nigel Frank International

As a leading technology consultancy based in Buckinghamshire, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and wellbeing. Our hybrid working model, competitive salary, and generous benefits package, including private healthcare and professional development funding, make us an excellent employer for those looking to make a meaningful impact in project management. Join us to collaborate with diverse teams and clients while advancing your career in a supportive environment focused on continuous improvement.

Nigel Frank International

Contact Details:

Nigel Frank International Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Developer (REMOTE) in Leicester

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 Nigel Frank International!

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 (REMOTE) at Nigel Frank International.

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 Nigel Frank International.

Apply Directly through Our Website

When you find a suitable opening like Data Developer (REMOTE) at Nigel Frank International, 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 (REMOTE) in Leicester

Dynamics 365 Finance & Operations (F&O) Development
X++ Development
Microsoft Dynamics 365 F&O Architecture
Customisation and Integration Patterns
Visual Studio
Life-cycle Services (LCS)
Azure DevOps

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 Nigel Frank International, 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 Nigel Frank International. 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 Nigel Frank International

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 Nigel Frank International!

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.