At a Glance
- Tasks: Automate data tasks and ensure reliable data infrastructure on Google Cloud Platform.
- Company: Join CME Group, the world's leading derivatives marketplace with a collaborative culture.
- Benefits: Enjoy competitive salary, equity programmes, health coverage, and ongoing education assistance.
- Other info: Dynamic environment with opportunities for career growth and professional development.
- Why this job: Make a real impact in cloud transformation and work with cutting-edge data technologies.
- Qualifications: Degree in Computer Science or related field; experience in data engineering is a plus.
The predicted salary is between 55000 - 65000 € per year.
A crucial role in CME's Cloud transformation, the dRE II will be aligned to data product pods ensuring that our data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
Accountabilities:
- Automate data tasks on Google Cloud Platform (GCP).
- Work with data domain owners, data scientists, and other stakeholders to ensure that data is consumed effectively on GCP.
- Design, build, secure, and maintain data infrastructure, including data pipelines, databases, data warehouses, and data processing platforms on GCP.
- Measure and monitor the quality of data on GCP data platforms.
- Implement robust monitoring and alerting systems to proactively identify and resolve issues in data systems.
- Respond to incidents promptly to minimize downtime and data loss.
- Develop automation scripts and tools to streamline data operations and make them scalable to accommodate growing data volumes and user traffic.
- Optimize data systems to ensure efficient data processing, reduce latency, and improve overall system performance.
- Collaborate with data and infrastructure teams to forecast data growth and plan for future capacity requirements.
- Ensure data security and compliance with data protection regulations.
- Implement best practices for data access controls and encryption.
- Collaborate with data engineers, data scientists, and software engineers to understand data requirements, troubleshoot issues, and support data-driven initiatives.
- Continuously assess and improve data infrastructure and data processes to enhance reliability, efficiency, and performance.
- Maintain clear and up-to-date documentation related to data systems, configurations, and standard operating procedures.
Qualifications:
- Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
- Professional Experience: Experience as a Site Reliability Engineer or a similar role would be beneficial.
- Methodologies: Understanding of Site Reliability Engineering (SRE) practices.
- Data Technologies: Knowledge of data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).
- Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting.
- Infrastructure Tools: Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
- Compliance: Some experience with data governance, data security, and compliance best practices would also be great.
- Software Development: Understanding of software development methodologies and best practices, including version control (e.g., Git) and CI/CD pipelines.
- Cloud Computing: Any experience in cloud computing and data-intensive applications and services, ideally Google Cloud Platform (GCP) would be highly beneficial.
- Quality Assurance: Experience with data quality assurance and testing.
- Monitoring Tools: Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, and Splunk is a plus.
- Advanced Tech: Knowledge of AI and ML tools is a plus.
- Certifications: Google Associate Cloud Engineer or Data Engineer certification is a plus.
- Domain Specifics: Experience in data engineering or data science.
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
CME Group is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. 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.
Data Reliability Engineer II JBLE1_NI in Belfast employer: CME Technology Support Services Ltd
CME Group is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong focus on employee development, you will have access to ongoing training and certification opportunities, alongside a comprehensive benefits package that includes private medical coverage, a bonus programme, and hybrid working options. Join a team of industry leaders in a location that fosters growth and creativity, making a meaningful impact on global markets.
Contact Detail:
CME Technology Support Services Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Reliability Engineer II JBLE1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data reliability. Get comfy with explaining your past projects and how they relate to the role of a Data Reliability Engineer.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to share it during interviews. It’s a great way to demonstrate your expertise in GCP and data technologies.
✨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, you’ll be one step closer to joining our awesome team!
We think you need these skills to ace Data Reliability Engineer II JBLE1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Reliability Engineer II role. Highlight relevant experience with GCP, data pipelines, and automation. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data reliability and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to highlight your programming skills and familiarity with tools like Docker and Kubernetes. Mention any relevant projects or experiences that demonstrate your expertise in data technologies. We’re keen on seeing your technical prowess!
Apply Through Our Website:Remember to apply through our careers page! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining the StudySmarter family. We can’t wait to hear from you!
How to prepare for a job interview at CME Technology Support Services Ltd
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Understand how to automate data tasks and the specifics of data pipelines, databases, and data processing platforms. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data reliability issues in the past. Think about incidents you've resolved, how you implemented monitoring systems, or any automation scripts you've developed. This will demonstrate your proactive approach and ability to minimise downtime.
✨Familiarise Yourself with Data Security Practices
Since data security is a big part of this role, be ready to discuss best practices for data access controls and encryption. Highlight any experience you have with compliance and data governance, as this will show that you take data protection seriously.
✨Collaborate and Communicate
This role involves working closely with various teams, so be prepared to talk about your collaboration skills. Share experiences where you've worked with data engineers, scientists, or other stakeholders to achieve a common goal. Good communication can set you apart from other candidates.
