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- Tasks: Support researchers and data scientists in navigating our Trusted Research Environment and troubleshoot data issues.
- Company: Join Smart Data Foundry, a mission-driven organisation focused on improving lives through financial data.
- Benefits: Gain valuable experience, develop new skills, and enjoy a collaborative work environment.
- Why this job: Make a real impact by ensuring data quality and compliance while supporting innovative research.
- Qualifications: Basic command line coding skills and a passion for data management.
- Other info: Be part of a growing team with opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
This role is for 12-month maternity cover.
About Smart Data Foundry
Smart Data Foundry has a purpose to unlock the power of financial data as a force to improve people’s lives. We enable the research ecosystem to flourish through the provision of research ready real financial data. We create data-driven insights based on real financial data, that identify areas to inform policy change and enhance regulation.
Role Purpose
The Data Operations Engineer provides first-line support to researchers, data scientists, and partners using our Trusted Research Environment (TRE). You will help users navigate data access, troubleshoot issues, and ensure compliance with data governance requirements whilst supporting user requests daily. As part of our growing 30-person data sharing organisation, you will have opportunities to develop new skills and take on increasing responsibility as we expand.
The role requires you to have or learn command line code skills as you work within University of Edinburgh’s private cloud environment, as the primary point of contact for users accessing financial and research data through our secure TRE. You will run, adapt, and eventually write code to perform data quality checks to ensure privacy standards are met prior to making data available to researchers in the secure environment. You will also perform disclosure checks on any research outputs generated, prior to wider dissemination outside the secure environment. You will also support access and requests for safeguarded and open data across our portal, AWS, and Business Systems.
Key Responsibilities
- Respond to user queries via help-desk system
- Guide researchers through TRE access procedures and data navigation
- Troubleshoot data access and usability issues
- Liaise with system administrators and data providers to resolve user problems
- Manage and verify user permissions for key data assets and infrastructure
- Communicate timelines and potential solutions to internal and external stakeholders
Data Operations Engineer employer: Smart Data Foundry
Contact Detail:
Smart Data Foundry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data operations. Think about how your skills align with the role and be ready to share examples of how you've tackled similar challenges in the past.
✨Tip Number 3
Show off your technical skills! If you’ve got command line code skills, be sure to highlight them during conversations. Maybe even prepare a small project or example that demonstrates your ability to handle data quality checks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Smart Data Foundry.
We think you need these skills to ace Data Operations Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Operations Engineer role. Highlight any relevant experience with data management, user support, and coding skills. We want to see how your background aligns with our mission at Smart Data Foundry!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about financial data and how you can contribute to our team. Be sure to mention any specific experiences that relate to the responsibilities outlined in the job description.
Show Off Your Technical Skills: Since this role involves command line code skills, don’t forget to mention any relevant technical abilities you have. If you've worked with data quality checks or in cloud environments before, let us know! We love seeing candidates who are eager to learn and grow.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Smart Data Foundry
✨Know Your Data Inside Out
Make sure you understand the basics of data operations and the specific tools mentioned in the job description. Brush up on your command line skills, as you'll likely be asked about your experience with coding and data quality checks during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've successfully resolved user issues or improved processes in previous roles. This will demonstrate your ability to troubleshoot and support users effectively, which is a key part of the Data Operations Engineer role.
✨Familiarise Yourself with Data Governance
Since compliance with data governance requirements is crucial, make sure you can discuss relevant regulations and best practices. Being able to articulate your understanding of data privacy standards will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tools they use, and the challenges they face. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
