Python Developer

Python Developer

Full-Time 28800 - 48000 £ / year (est.) Home office possible
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At a Glance

  • Tasks: Develop and maintain Python data pipelines for retail clients while creating insightful BI reports.
  • Company: Join a leading IT services firm focused on innovative data solutions.
  • Benefits: Enjoy competitive pay, flexible work environment, and opportunities for professional growth.
  • Why this job: Make a real impact by delivering high-quality data solutions in a dynamic industry.
  • Qualifications: Experience in Python development and a passion for data analytics.
  • Other info: Work independently while collaborating with diverse teams across exciting projects.

The predicted salary is between 28800 - 48000 £ per year.

Our client is looking for a Python Developer who will play a vital role in delivering high‑quality data warehousing solutions and business intelligence applications across a range of retail‑sector clients. This role is ideal for someone who enjoys working independently from their own office environment while collaborating closely with multiple organisations to create reliable data pipelines, analytics outputs, and business reporting solutions.

Responsibilities

  • Develop, enhance, and maintain Python‑based data pipelines for multiple retail clients.
  • Support the design and build of modern data warehouses and data models.
  • Create, process, and transform analytics datasets to support business insights.
  • Produce high‑quality BI reports and dashboards for client stakeholders.
  • Collaborate with client teams to understand reporting requirements and translate them into technical solutions.
  • Ensure data quality, reliability, and performance across all pipelines and reporting artefacts.
  • Troubleshoot data issues and optimise ETL/ELT processes where required.
  • Work autonomously while managing workload across a variety of client projects.
  • Contribute to continuous improvement of development practices, tools, and documentation.

Job Details

  • Seniority level: Associate
  • Employment type: Full‑time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting

Python Developer employer: Vector Resourcing

Vector Resourcing is an exceptional employer for Python Developers, offering a dynamic work culture that promotes autonomy and collaboration across various retail-sector clients. With a focus on employee growth, we provide opportunities to enhance your skills in data warehousing and business intelligence while enjoying the flexibility of working from your own office environment. Our commitment to continuous improvement and high-quality deliverables ensures that you will be part of a team that values innovation and excellence.
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Contact Detail:

Vector Resourcing Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Python Developer

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work in retail or data warehousing. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

✨Tip Number 2

Show off your skills! Create a GitHub profile showcasing your Python projects and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common Python-related questions and data warehousing concepts. Practise explaining your past projects and how they relate to the role you're applying for — confidence is key!

✨Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're serious about joining our team at Vector Resourcing.

We think you need these skills to ace Python Developer

Python
Data Warehousing
Business Intelligence
Data Pipelines
ETL/ELT Processes
Data Modelling
Analytics
BI Reporting
Collaboration
Data Quality Assurance
Troubleshooting
Continuous Improvement
Documentation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your Python skills and experience relevant to data warehousing and business intelligence. We want to see how you’ve tackled similar projects in the past, so don’t hold back!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've developed data pipelines or created BI reports that made an impact.

Showcase Your Problem-Solving Skills: In your application, mention any challenges you’ve faced in previous roles and how you overcame them. We love candidates who can troubleshoot and optimise processes, so let us know how you’ve done this!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at Vector Resourcing

✨Know Your Python Inside Out

Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data pipelines, ETL processes, and any libraries you've used. Practising coding challenges can also help you demonstrate your problem-solving abilities.

✨Understand the Retail Sector

Since the role involves working with retail clients, it’s a good idea to familiarise yourself with common data challenges in this sector. Think about how data warehousing and business intelligence can impact retail operations and be prepared to share your insights.

✨Showcase Your Collaboration Skills

This position requires working closely with various teams, so be ready to discuss examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve translated technical requirements into solutions for non-technical stakeholders.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about their current projects, team dynamics, and expectations for the role. This shows your genuine interest in the position and helps you assess if it's the right fit for you.

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