At a Glance
- Tasks: Join us as a Data Reliability Engineer to automate and optimize our data systems on GCP.
- Company: CME Group is the world's leading derivatives marketplace, shaping tomorrow's markets.
- Benefits: Enjoy a collaborative culture, career growth opportunities, and a diverse workplace.
- Why this job: Make a real impact in data infrastructure while working with top experts in the field.
- Qualifications: Bachelor's or Master's in Computer Science or related field; 3+ years in data engineering or science.
- Other info: Experience with GCP, automation tools, and a proactive attitude are key for success.
The predicted salary is between 43200 - 72000 £ per year.
Description
Data System Reliability Engineer (dSRE)
Role Overview:
A crucial role in CME\’s Cloud data transformation, the data SRE will be aligned to data product pods ensuring the our data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
Accountabilities:
- Automate data tasks on 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:
- Bachelor\’s or Master\’s degree in Computer Science, Software Engineering, Data Science or related field, or equivalent practical experience
- Experience as a Data Site Reliability Engineer or a similar role, with a focus on data infrastructure management
- Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).
- Ideally some programming skills in languages like Python, Java, or Scala, with experience in automation and scripting.
- Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
- Experience with data governance, data security, and compliance best practices.
- Understanding of software development methodologies and best practices, including version control (e.g., Git) and CI/CD pipelines.
- Analytical and problem-solving abilities, with a proactive attitude towards identifying and resolving issues.
- Excellent communication and collaboration skills to work effectively in a team-oriented environment.
- Ideally a background in cloud computing and data-Intensive applications and services, with a focus on Google Cloud Platform
- 3+ years of experience in data engineering or data science.
- Experience with data quality assurance and testing.
- Ideally knowledge of GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage)
- Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc.
- Proven ability to learn new technologies, including open source and cloud-native offerings
- Knowledge of AI and ML tools is a plus
- Google Associate Cloud Engineer or Data Engineer certification is a plus
Responsibilities:
- Automate provisioning of infrastructure as code, using tools such as Terraform and KCC
- Build self-service capabilities for development teams to improve time-to-market and promote cloud adoption
- Create CI/CD pipelines using Jenkins, Bitbucket/Git
- Create monitoring dashboards and metrics using Splunk, Prometheus, Grafana
- Write unit tests in Go/Python/Java
- Work on a globally distributed team
CME Group: Where Futures Are Made
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 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\’ diverse experiences, cultures and skills, and work to ensure that everyone\’s perspectives are acknowledged and valued. As an equal opportunity employer, we recognize the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic.
The Candidate Privacy Policy can be found here.
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Data Reliability Engineer (Data SRE) employer: CME Group
Contact Detail:
CME Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Reliability Engineer (Data SRE)
✨Tip Number 1
Familiarize yourself with Google Cloud Platform (GCP) services, especially those mentioned in the job description like BigQuery and Dataflow. Having hands-on experience or projects showcasing your skills on these platforms can set you apart.
✨Tip Number 2
Network with professionals in the data engineering and SRE fields. Attend meetups, webinars, or online forums where you can connect with current employees at CME Group or similar companies to gain insights and potentially get referrals.
✨Tip Number 3
Showcase your problem-solving abilities by preparing for technical interviews. Practice common data reliability scenarios and be ready to discuss how you've handled incidents or optimized data systems in past roles.
✨Tip Number 4
Stay updated on the latest trends in data security and compliance. Being knowledgeable about best practices in these areas will demonstrate your commitment to maintaining high standards in data management.
We think you need these skills to ace Data Reliability Engineer (Data SRE)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Reliability Engineer position. Highlight key responsibilities and qualifications that align with your experience, especially those related to GCP and data infrastructure.
Tailor Your CV: Customize your CV to emphasize relevant experience in data engineering, cloud services, and automation. Include specific projects or achievements that demonstrate your proficiency in tools like Terraform, Docker, and GCP data services.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Discuss your experience with data quality assurance, monitoring systems, and collaboration with cross-functional teams. Show enthusiasm for CME Group's mission and values.
Highlight Technical Skills: In your application, clearly list your technical skills, particularly those mentioned in the job description such as programming languages (Python, Java), data technologies, and experience with CI/CD pipelines. This will help you stand out to recruiters.
How to prepare for a job interview at CME Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data technologies like GCP, Hadoop, and Spark. Highlight specific projects where you automated data tasks or built data pipelines, as this will demonstrate your hands-on expertise.
✨Emphasize Collaboration
Since the role involves working closely with data domain owners and other stakeholders, share examples of how you've successfully collaborated in past projects. This will show that you can work effectively in a team-oriented environment.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in data infrastructure management and how you resolved them. Use specific examples to illustrate your analytical skills and proactive attitude towards identifying issues.
✨Understand Data Security and Compliance
Familiarize yourself with best practices for data security and compliance regulations. Be ready to discuss how you've implemented these practices in previous roles, as this is crucial for the position.