At a Glance
- Tasks: Ensure database systems are reliable and scalable while learning from experienced team members.
- Company: Join CME Group, a leader in the tech industry with a focus on inclusivity.
- Benefits: Enjoy competitive salary, comprehensive benefits, and opportunities for ongoing education.
- Other info: Embrace a supportive culture that values continuous learning and career growth.
- Why this job: Kickstart your tech career by working with modern cloud databases and innovative technologies.
- Qualifications: Ideal for recent graduates or those with 1-2 years of relevant experience.
The predicted salary is between 30000 - 40000 £ per year.
About the Role
As a Data Reliability Engineer I you will embark on a foundational career journey within our global DRE team, learning to ensure our critical database systems remain reliable, fast, and scalable.
Moving away from traditional, reactive database administration, our mission is to proactively maintain and enhance the reliability, integrity, and performance of our data footprint.
You will gain hands‑on exposure to a diverse, modern GCP data ecosystem—spanning relational, No SQL, and analytical platforms (including Postgre SQL, Cloud SQL, Spanner, and Big Query).
This role is specifically designed for an aspiring technologist with a broad interest in modern cloud databases who wants to transition from an academic environment into a well‑rounded cloud data generalist.
- What You'll Get
- A supportive environment fostering career progression, continuous learning, and an inclusive culture.
- Broad exposure to CME's diverse products, asset classes, and cross‑functional teams.
- A competitive salary and comprehensive benefits package. Explore our full range of benefits.
What You'll Do
- Monitor system health metrics under the guidance of senior team members to learn proactive incident management.
- Assist in resolving database‑related incidents, diagnosing basic infrastructure issues, and conducting root‑cause analysis.
- Support the tracking of performance metrics to ensure database speed and uptime meet application needs.
- Learn Infrastructure as Code (Ia C) principles and CI/CD pipelines to safely manage database structures across environments.
- Contribute to automated database provisioning and schema migrations utilizing tools like Flyway.
- Maintain clear, up‑to‑date documentation regarding data systems, configurations, and standard operating procedures.
- What You'll Bring
- Possess a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field.
- Experience: open to recent graduates or applicants with approximately 1–2 years of experience, which may include industrial placement years or internship.
- Leverage foundational experience gained from an industrial placement year, structured internship, or equivalent complex academic project work.
- Demonstrate a keen, broad interest in modern cloud databases alongside a foundational understanding of relational and No SQL concepts.
- Write or modify basic scripts using Python, Bash, or Power Shell to assist with operational automation tasks.
- Display familiarity with version control systems like Git and baseline cloud computing frameworks (GCP exposure is a strong plus).
- Embrace continuous learning aligned with Site Reliability Engineering (SRE) practices and emerging data technologies.
- Company Benefits
- Bonus Programme
- Equity Programme
- Employee Stock Purchase Plan (ESPP)
- Private Medical and Dental coverage
- Income Protection
- Life Assurance
- Cycle To Work
- Family Leave
- Education Assistance – MBA/Advanced Degree/Bachelor Degree
- Ongoing Employee Development Training/Certification
- Hybrid Working
- Equal Opportunity Employer
At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone's perspectives are acknowledged and valued.
As an equal‑opportunity employer, we consider all potential employees without regard to any protected characteristic.
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Data Reliability Engineer I (dRE 1) employer: CME Group
CME Group is an exceptional employer that prioritises innovation and employee development, particularly in the role of API-First Data & Analytics Leader. With a strong focus on cloud technologies and a collaborative work culture, employees benefit from a comprehensive bonus program, equity options, and private healthcare, all while enjoying the flexibility of hybrid working arrangements. This dynamic environment not only fosters technical growth but also encourages meaningful contributions to enhancing customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Reliability Engineer I (dRE 1)
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We think you need these skills to ace Data Reliability Engineer I (dRE 1)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at CME Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CME Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CME Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
