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 with a focus on innovation.
- Benefits: Enjoy competitive pay, health coverage, hybrid work, and ongoing education support.
- Other info: Dynamic team environment with opportunities for career growth and professional development.
- Why this job: Make a real impact in data reliability while working with cutting-edge technologies.
- Qualifications: Experience in data infrastructure management and proficiency in programming languages like Python or Java.
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 strong focus on data infrastructure management.
Methodologies: Understanding of Site Reliability Engineering (SRE) practices.
Data Technologies: Proficiency 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: 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: Experience with data governance, data security, and compliance best practices on GCP.
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 on GCP.
GCP Data Services: Proficiency with GCP data services (BigQuery, Dataflow, Data Fusion, Dataproc, Cloud Composer, Pub/Sub, Google Cloud Storage).
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. 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.
To be considered for this role you will be redirected to and must complete the application process on our careers page.
Data Reliability Engineer II TLNT1_NI in Belfast employer: CME Technology Support Services Ltd
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 opportunities. With a collaborative work culture that values diverse perspectives, employees are empowered to make impactful contributions in a dynamic environment, all while enjoying the flexibility of hybrid working arrangements in a leading global derivatives marketplace.
Contact Details:
CME Technology Support Services Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Reliability Engineer II TLNT1_NI in Belfast
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to GCP and data infrastructure. It’s a great way to demonstrate what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data reliability engineering. Think about how you’d tackle real-world problems they might throw your way.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Reliability Engineer II TLNT1_NI in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Reliability Engineer II role. Highlight your experience with GCP, data infrastructure, and any relevant programming languages like Python or Java.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data reliability and how your background makes you a great fit for our team. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Technical Skills:Don’t forget to include any relevant certifications or technical skills in your application. If you've worked with tools like Docker, Kubernetes, or GCP data services, make sure we see that!
Apply Through Our Website:We encourage you to apply directly through our careers page. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
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 the key services like BigQuery, Dataflow, and Cloud Storage, and be ready to discuss how you've used them in past projects. This will show that you're not just familiar with the tools but can also leverage them effectively.
✨Showcase Your Automation Skills
Prepare to talk about your experience with automation scripts and tools. Bring examples of how you've streamlined data operations or improved system performance through automation. This is crucial for a Data Reliability Engineer role, so make it a focal point in your discussion.
✨Demonstrate Problem-Solving Abilities
Be ready to share specific instances where you've identified and resolved data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will highlight your analytical skills and ability to respond to incidents promptly, which is key for minimising downtime.
✨Understand Data Security and Compliance
Familiarise yourself with data protection regulations and best practices for data security. Be prepared to discuss how you've implemented access controls and encryption in previous roles. This knowledge is essential for ensuring compliance in a data-driven environment.
