Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop data solutions for audit and risk processes using Python.
- Company: Dynamic tech services firm based in Birmingham.
- Benefits: Competitive salary, continuous learning opportunities, and great benefits.
- Why this job: Join a team where your skills will directly impact audit and risk solutions.
- Qualifications: 7+ years in data engineering with strong Python and SQL skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A technology services firm based in Birmingham is seeking a skilled Python Data Engineer to design, develop, and maintain data solutions for audit and risk processes. The ideal candidate should have over 7 years of experience in data engineering, strong skills in Python and SQL, and the ability to collaborate with cross-functional teams. This full-time role offers competitive benefits and opportunities for continuous learning.
Onsite Python Data Engineer in Birmingham - Audit & Risk employer: Apexon
Contact Detail:
Apexon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Onsite Python Data Engineer in Birmingham - Audit & Risk
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in audit and risk. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate your expertise and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past projects to highlight your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Onsite Python Data Engineer in Birmingham - Audit & Risk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and SQL, as well as any relevant projects you've worked on. We want to see how your skills align with the role of a Data Engineer in audit and risk.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past work that relate to the job description.
Showcase Your Collaboration Skills: Since this role involves working with cross-functional teams, mention any experiences where you've successfully collaborated with others. We love to see teamwork in action!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Apexon
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex data problems. Practising coding challenges can also help you demonstrate your technical prowess.
✨SQL Skills Are Key
Since SQL is a crucial part of the role, ensure you're comfortable with writing queries and optimising database performance. You might be asked to solve a problem on the spot, so reviewing common SQL scenarios can give you an edge.
✨Showcase Your Collaboration Skills
This role requires working with cross-functional teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with different departments to achieve a common goal.
✨Emphasise Continuous Learning
The company values continuous learning, so be ready to discuss how you keep your skills sharp. Mention any recent courses, certifications, or personal projects that showcase your commitment to staying updated in the field of data engineering.