Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support data management operations and ensure data accuracy in a high-stakes environment.
- Company: Join a leading client-focused firm working on impactful government projects.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and compliance.
- Why this job: Make a difference by ensuring data quality and supporting critical decision-making processes.
- Qualifications: Degree in IT or related field with 3-8 years of relevant experience.
The predicted salary is between 45000 - 55000 £ per year.
Our client is looking for a Data Engineer / Data Analyst to support data management operations within the Enterprise Data Warehouse and Total Portfolio Data Mart. This role focuses on ensuring data accuracy, quality, and smooth data operations in a structured, high-stakes environment.
Job Responsibilities
- Support data management operations for enterprise data platforms
- Perform data reconciliation and data quality checks, including monitoring and troubleshooting
- Investigate and resolve data issues and discrepancies
- Work closely with stakeholders to manage data-related queries and SLA requirements
- Perform User Acceptance Testing (UAT) to ensure data accuracy and system reliability
- Develop and maintain technical and functional documentation
- Collaborate with cross-functional teams to support data pipelines and reporting needs
- Ensure compliance with data governance and operational standards
Job Requirements
- Degree in Computer Science, Information Technology, or related field
- 3–8 years of relevant experience
- Experience in data analysis and data operations
- Strong experience in data reconciliation and data quality checks
- Proficient in Oracle PL/SQL (must-have)
- Experience in UAT and data validation
- Able to manage end-user queries and SLA-driven environments
- Good problem-solving and analytical skills
- Strong communication and stakeholder management skills
Good to Have
- Experience in financial or investment data domain
- Experience with Tableau and Snowflake
Data Engineer / Analyst (SI client/govt project） in London employer: Consortium for Clinical Research and Innovation Singapore
Contact Detail:
Consortium for Clinical Research and Innovation Singapore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer / Analyst (SI client/govt project） in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering and analysis space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. 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 projects, especially those involving Oracle PL/SQL or data quality checks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Be ready to discuss your experience with data reconciliation and UAT. Practising your answers will help you feel more confident and articulate during the real deal.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect 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 Data Engineer / Analyst (SI client/govt project） in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer/Analyst role. Highlight your experience with data management, reconciliation, and any relevant tools like Oracle PL/SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects or experiences that demonstrate your data analysis and operations skills. If you've worked on UAT or data quality checks, let us know! Real examples help us understand your capabilities better.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially in a structured environment like ours.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Consortium for Clinical Research and Innovation Singapore
✨Know Your Data Inside Out
Make sure you brush up on your data management skills, especially in Oracle PL/SQL. Be prepared to discuss your experience with data reconciliation and quality checks, as these are crucial for the role. Familiarise yourself with common data issues and how you've resolved them in the past.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share specific examples of how you've tackled data discrepancies or operational challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your analytical skills have led to successful outcomes.
✨Engage with Stakeholders
Since this role involves managing end-user queries and collaborating with cross-functional teams, demonstrate your communication skills. Prepare to discuss how you've worked with stakeholders in previous roles, focusing on how you managed their expectations and ensured compliance with SLAs.
✨Prepare for UAT Discussions
User Acceptance Testing (UAT) is a key part of this job, so be ready to talk about your experience in this area. Think of examples where you ensured data accuracy and system reliability during UAT, and how you documented your findings to support future operations.