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- Tasks: Transform finance data systems and automate processes with cloud-based solutions.
- Company: Dynamic digital financial services business in London.
- Benefits: Hybrid work, competitive pay, and potential contract extension.
- Other info: Opportunity to experiment with AI tools and work in a Scrum team.
- Why this job: Join a cutting-edge team and make a real impact on finance transformation.
- Qualifications: Strong finance knowledge and extensive AWS data engineering experience required.
The predicted salary is between 60000 - 80000 £ per year.
Contract Data Engineer
Location: London (Hybrid)
Contract: 6 months+ (likely extension)
IR35: Outside
Start: ASAP
Overview
Data Engineer required to support a finance transformation programme within a digital financial services business. Focus on modernising financial data systems and replacing manual processes with scalable, cloud-based solutions.
Responsibilities
- Work closely with finance stakeholders
- Design and deliver data integrations and data products
- Bring General Ledger into the central reporting repository
- Integrate a Treasury Management System into central data and automate accounting postings
- Build curated finance data marts for self-service reporting
- Enable near real-time reporting capability
- Operate as a proactive, autonomous contributor within a Scrum team
- Support experimentation with agentic AI tools (e.g. Claude, ChatGPT) for discovery and requirement definition
Requirements
Must-Have:
- Strong finance domain knowledge
- Extensive AWS data engineering experience
- Experience with cloud-native data platforms
- Python
- Excellent stakeholder engagement skills
Nice to Have:
- Experience with D365 or similar ERP systems
- Experience using Claude / agentic AI in delivery
Senior Engineer, Data Engineering employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data engineering sectors. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving AWS and cloud-native solutions. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your finance domain knowledge and stakeholder engagement skills. Practice common interview questions related to data integration and automation, so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Engineer role. Highlight your AWS data engineering experience and finance domain knowledge, as these are key for us. Use specific examples that showcase your skills in modernising financial data systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our finance transformation programme. Be sure to mention any experience with cloud-native platforms and stakeholder engagement.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Share details about your previous work with data integrations or building data marts. We love seeing real-world applications of your skills, especially if they relate to finance.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Data Inside Out
Make sure you brush up on your finance domain knowledge and AWS data engineering experience. Be ready to discuss specific projects where you've modernised financial data systems or replaced manual processes with cloud-based solutions.
✨Showcase Your Stakeholder Skills
Prepare examples of how you've engaged with finance stakeholders in the past. Highlight your ability to communicate complex data concepts clearly and how you've collaborated within a Scrum team to deliver successful outcomes.
✨Demonstrate Your Technical Prowess
Be ready to dive into technical discussions about Python and cloud-native data platforms. You might be asked to solve a problem on the spot, so practice articulating your thought process while coding or designing data integrations.
✨Get Familiar with AI Tools
Since the role involves experimenting with agentic AI tools, do some research on Claude and ChatGPT. Think about how these tools can enhance data discovery and requirement definition, and be prepared to share your insights during the interview.