At a Glance
- Tasks: Ensure database systems are reliable, fast, and scalable while learning from experienced team members.
- Company: Join a global tech leader focused on innovative cloud data solutions.
- Benefits: Enjoy competitive salary, comprehensive benefits, and hybrid working options.
- Other info: Embrace continuous learning and career growth in a dynamic, inclusive culture.
- Why this job: Kickstart your tech career in a supportive environment with real impact on data reliability.
- Qualifications: Recent graduates or those with 1-2 years experience in tech fields welcome.
The predicted salary is between 30000 - 40000 £ per year.
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, NoSQL, and analytical platforms (including PostgreSQL, Cloud SQL, Spanner, and BigQuery). 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.
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 (IaC) 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 benchmark: 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 NoSQL concepts.
- Write or modify basic scripts using Python, Bash, or PowerShell 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
- Mental Health Benefit Programme
- Group Pension Plan
- Income Protection
- Life Assurance
- Cycle To Work
- EV Car Benefit Scheme
- Gym Membership
- Family Leave
- Education Assistance – MBA/Advanced Degree/Bachelor Degree
- Ongoing Employee Development Training/Certification
- Hybrid Working
As an equal‑opportunity employer, we consider all potential employees without regard to any protected characteristic.
Data Reliability Engineer I (dRE 1) in Belfast employer: Dormont Manufacturing Co
Join a forward-thinking company that prioritises your growth as a Data Reliability Engineer I, where you'll thrive in a supportive and inclusive environment. With access to cutting-edge GCP data ecosystems and a commitment to continuous learning, you will enjoy a competitive salary, comprehensive benefits, and unique opportunities for career progression. Embrace a culture that values innovation and collaboration, making it an ideal place for aspiring technologists to launch their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Reliability Engineer I (dRE 1) in Belfast
✨Embrace Online Competitions
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✨Join Data Science Meetups
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We think you need these skills to ace Data Reliability Engineer I (dRE 1) in Belfast
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Dormont Manufacturing Co, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Dormont Manufacturing Co aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
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How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
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As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
