At a Glance
- Tasks: Design and build scalable data platforms while automating processes for efficiency.
- Company: Join a forward-thinking tech company focused on data and automation.
- Benefits: Competitive salary, professional development, and a commitment to diversity.
- Other info: Dynamic team culture with opportunities for hands-on training and growth.
- Why this job: Make a real impact by enhancing data reliability and accessibility across the organisation.
- Qualifications: 5+ years in SRE or Data Engineering with cloud platform experience.
The predicted salary is between 70000 - 90000 € per year.
We are seeking a Senior Site Reliability Engineer (SRE) with a strong focus on data platform engineering, internal automation, and reporting systems. In this role, you will operate at the intersection of SRE and Data, owning the reliability, scalability, and evolution of our internal data ecosystem. You will design and build data pipelines, reporting infrastructure, and automation frameworks that improve operational visibility, decision-making, and system efficiency. The successful candidate will look to establish a reliable, observable data platform, deliver production-grade data pipelines and reporting systems, improve data quality and accessibility and enable self-service analytics across the organisation.
What You Will Get To Do
- Data Platform Reliability & Architecture
- Design, build, and maintain a scalable and reliable data platform
- Apply SRE principles (SLIs/SLOs, observability, fault tolerance) to data pipelines and data services
- Define data architecture, models, and standards aligned with business needs
- Ensure high availability and performance of data systems and reporting layers
- Build and maintain ETL/ELT pipelines integrating multiple internal and external data sources
- Optimise data workflows for performance, cost, and scalability
- Ensure data quality, integrity, and consistency across systems
- Troubleshoot and resolve pipeline failures and data inconsistencies
- Internal Automation & DataOps
- Automate operational processes using scripting, APIs, and Infrastructure as Code
- Implement DataOps practices, including CI/CD for data pipelines and workflows
- Reduce manual reporting and operational overhead through automation
- Build reusable frameworks for internal data tooling
- Monitoring, Observability & Incident Response
- Implement monitoring and alerting for data pipelines, data freshness, and reporting systems
- Define SLIs/SLOs for data availability, latency, and accuracy
- Lead incident response and root cause analysis for data-related issues
- Establish observability standards across data and platform systems
- Join the out-of-hours on-call rota (typically once every 3–4 weeks) once suitably skilled and appropriately trained
- Analytics & Reporting Enablement
- Develop and maintain dashboards and reporting solutions (e.g., Power BI or similar tools)
- Partner with stakeholders to translate business needs into data solutions
- Enable self-service analytics and improve data accessibility
- Deliver actionable insights to support decision-making
- Infrastructure & Scalability
- Support and optimise cloud-based data infrastructure (AWS, Azure, or GCP)
- Implement scalable storage, compute, and orchestration solutions
- Collaborate with engineering teams to ensure systems produce reliable data
- Cross-Functional Collaboration
- Act as a bridge between Engineering, Operations, and Business teams
- Promote best practices across SRE, DevOps, and Data Engineering
- Contribute to a culture of automation, reliability, and continuous improvement
What You Will Bring
- 5+ years in SRE, Data Engineering, or DevOps roles
- Experience with cloud platforms (AWS, Azure, or GCP)
- Strong experience with data modelling and pipeline development
- Experience implementing monitoring and observability systems
- Experience with Infrastructure as Code (Terraform, etc.)
- Experience with BI tools (Power BI, Tableau, Looker)
Preferred Qualifications
- Experience building a data platform from scratch
- Familiarity with DataOps and governance frameworks
- Experience with Docker and Kubernetes
- Familiarity with AI tooling and experience using it to enhance output
Why You Will Love It Here!
- Your Future: Professional Development Reimbursement, including access to SS&C University
- Your Wellbeing: Competitive benefits designed to support the well-being of our staff
- Diversity & Inclusion: Committed to Welcoming, Celebrating and Thriving on Diversity
- Training: Hands-On, Team-Customised throughout your career
We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.
Senior Site Reliability Engineer employer: SS&C Blue Prism
At our company, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises professional development and employee well-being. As a Senior Site Reliability Engineer, you will have the opportunity to work remotely in the UK while collaborating with cross-functional teams to drive innovation in data platform engineering. We offer competitive benefits, hands-on training, and a commitment to diversity, ensuring that every team member can thrive and contribute meaningfully to our mission.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Site Reliability Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data pipelines and automation. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on SRE principles and data platform architecture. Be ready to discuss your past experiences and how they align with the role. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Site Reliability Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Site Reliability Engineer role. Highlight your experience with data platforms, automation, and any relevant SRE principles to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background makes you a perfect fit. Share specific examples of your work in data engineering or automation that demonstrate your expertise.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them! We love seeing real-world applications of your skills, especially in building data pipelines or implementing monitoring systems.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at SS&C Blue Prism
✨Know Your Data Inside Out
Make sure you’re well-versed in data platform engineering and the specific technologies mentioned in the job description. Brush up on your experience with cloud platforms like AWS, Azure, or GCP, and be ready to discuss how you've designed and built scalable data pipelines in the past.
✨Showcase Your Automation Skills
Prepare examples of how you've automated operational processes using scripting or Infrastructure as Code. Be ready to explain your approach to implementing DataOps practices and how you’ve reduced manual reporting overhead through automation.
✨Demonstrate Monitoring Expertise
Familiarise yourself with monitoring and observability systems. Be prepared to discuss how you’ve defined SLIs/SLOs for data availability and how you’ve led incident response efforts in previous roles. This will show that you understand the importance of reliability in data systems.
✨Engage with Cross-Functional Collaboration
Think about times when you acted as a bridge between different teams, such as Engineering, Operations, and Business. Highlight your ability to promote best practices across SRE, DevOps, and Data Engineering, as this role requires strong collaboration skills.
