At a Glance
- Tasks: Automate and optimise data tasks on Google Cloud Platform for reliable data infrastructure.
- Company: Join CME Group, the world’s leading derivatives marketplace, and shape the future.
- Benefits: Enjoy a bonus programme, equity options, private medical coverage, and hybrid working.
- Other info: Dynamic environment with opportunities for ongoing development and career growth.
- Why this job: Make a real impact in data reliability while collaborating with industry experts.
- Qualifications: Degree in Computer Science or related field; experience in data infrastructure management preferred.
The predicted salary is between 60000 - 80000 € 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 with a focus on data infrastructure management.
Methodologies: Understanding of Site Reliability Engineering (SRE) practices.
Data Technologies: Ideally some experience in 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: Any 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 would be great.
Infrastructure Tools: Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
Compliance: Experience with data governance, data security, and compliance best practices.
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.
GCP Data Services: Any exposure to GCP data services (BigQuery, Dataflow, Data Fusion, Dataproc, Cloud Composer, Pub/Sub, Google Cloud Storage) is a bonus.
Monitoring Tools: Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, and Splunk.
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.
Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process.
Data Reliability Engineer II in Belfast employer: Chicago Mercantile Exchange
CME Group is an exceptional employer that prioritises employee growth and well-being, offering a comprehensive benefits package including a bonus programme, equity options, and ongoing development training. Our collaborative work culture fosters innovation and inclusivity, allowing you to make a meaningful impact in the rapidly evolving field of data reliability on Google Cloud Platform. Join us in a hybrid working environment where your contributions are valued, and you can thrive alongside industry-leading experts.
Contact Detail:
Chicago Mercantile Exchange Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Reliability Engineer II 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 data technologies and automation.
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Reliability Engineer II in Belfast
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Data Reliability Engineer II role. Highlight your experience with GCP, data infrastructure, and any relevant projects that showcase your skills. We want to see how you fit into our team!
Show Off Your Skills:Don’t hold back on showcasing your programming skills, especially in Python or Java. If you've worked with data technologies like Hadoop or cloud services, let us know! We love seeing practical examples of your work.
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 through your qualifications and experiences. We appreciate a well-structured application!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Chicago Mercantile Exchange
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge. Understand the key services like BigQuery, Dataflow, and Cloud Composer, as well as how they fit into data infrastructure. Be ready to discuss how you've used these tools in past projects.
✨Showcase Your Automation Skills
Since automation is a big part of the role, prepare examples of scripts or tools you've developed to streamline data operations. Highlight your experience with programming languages like Python or Java, and be ready to explain how your solutions improved efficiency.
✨Demonstrate Problem-Solving Abilities
Be prepared to discuss specific incidents where you identified and resolved data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing your analytical skills and ability to respond promptly to incidents.
✨Understand Data Security and Compliance
Familiarise yourself with data protection regulations and best practices for data security. Be ready to talk about how you've implemented access controls and encryption in previous roles, as this will show your commitment to maintaining data integrity.
