At a Glance
- Tasks: Automate data processes using Python and SQL to enhance efficiency.
- Company: Join Computershare, a global leader in financial administration.
- Benefits: Enjoy a competitive salary, hybrid work model, and career development opportunities.
- Other info: Be part of a dynamic team in a supportive and inclusive environment.
- Why this job: Make a real impact by optimising critical back-office processes.
- Qualifications: Experience in Python and SQL with a passion for data automation.
The predicted salary is between 50000 - 70000 £ per year.
Computershare is a global leader in financial administration with over 12,000 employees across more than 22 different countries. Many of the world's leading organisations use us to streamline and maximise the value of relationships with their investors, employees, creditors, and customers. Our global footprint means we have the scale to maintain robust compliance, audit, risk, financial crime, disaster recovery, and business continuity planning programs - offering peace of mind to our clients and their customers.
AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with Computershare to support their contingent recruitment processes, acting as an extension of their recruitment teams, connecting them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.
On behalf of Computershare, we are looking for a Data Automation Engineer (Python / SQL) for a 12-month contract based in London (Hybrid - 3 times per week in the office).
Join us as a Data Automation Engineer (Python / SQL). We're looking for a Data Automation Engineer to join a high-performing team supporting critical back-office processes.
Data & Automation Engineer (Python / SQL) employer: AMS Contingent
Computershare is an exceptional employer, offering a dynamic and inclusive work culture that prioritises employee growth and development. With a global presence and a commitment to innovation, employees benefit from diverse talent strategies and opportunities to thrive in their careers. The London office provides a hybrid working model, fostering collaboration while allowing flexibility, making it an ideal environment for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Automation Engineer (Python / SQL)
✨Tip Number 1
Network like a pro! Reach out to current employees at Computershare on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. We recommend doing some hands-on projects or coding challenges to showcase your expertise during the interview.
✨Tip Number 3
Don’t just wait for job postings! Keep an eye on our website and apply directly through it. This shows initiative and can help us get your application in front of the right people faster.
✨Tip Number 4
Follow up after your interview! A quick thank-you email can keep you fresh in the interviewer's mind and show that we’re genuinely interested in the role.
We think you need these skills to ace Data & Automation Engineer (Python / SQL)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & Automation Engineer role. Highlight your Python and SQL skills, and any relevant experience that aligns with what we’re looking for at Computershare.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any projects involving data automation or similar technologies, don’t forget to mention them! We love seeing real-world applications of your skills, so share those experiences with us.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at AMS Contingent
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can demonstrate your problem-solving abilities with real-world examples.
✨Understand the Company Culture
Research Computershare and AMS to get a feel for their values and work environment. This will help you tailor your answers to show that you're not just a fit for the role, but also for the company culture. Mention any relevant experiences that align with their mission of creating inclusive workplaces.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle certain situations. Practice articulating your thought process clearly, as this will showcase your analytical skills and ability to work under pressure.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask your interviewers. This shows your genuine interest in the role and the company. You might ask about the team dynamics, ongoing projects, or how success is measured in the Data Automation Engineer position.
