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For Companies At a Glance
- Tasks: Manage data pipelines, troubleshoot incidents, and optimise performance using AWS and Python.
- Company: Join ZILO, a forward-thinking tech company redefining possibilities in technology.
- Benefits: Enjoy 38 days leave, private healthcare, flexible working, and professional development opportunities.
- Why this job: Shape the future of technology while making a real impact in a dynamic environment.
- Qualifications: Experience in data processing, AWS, and strong problem-solving skills required.
- Other info: Collaborative culture with excellent career growth and global mobility options.
The predicted salary is between 36000 - 60000 £ per year.
Overview
About:
Step forward into the future of technology with ZILO.
We’re here to redefine what’s possible in technology. While we’re trusted by the global Transfer Agency sector, our technology is truly flexible and designed to transform any business at scale. We’ve created a unified platform that adapts to diverse needs, offering the scalability and reliability legacy systems simply can’t match.
At ZILO, our DNA is built on Character, Creativity, and Craftsmanship. We face every challenge with integrity, explore new ideas with a curious mind, and set a high standard in every detail.
We are a team of dedicated professionals where everyone, regardless of their role, drives our progress and creates real impact. If you’re ready to shape the future, let’s talk.
We are seeking an experienced Site Reliability Engineer (SRE) with deep subject-matter expertise in data processing and reporting. In this role, you will own the reliability, performance, and operational excellence of our real-time and batch data pipelines built on AWS, Apache Flink, Kafka, and Python. You’ll act as the first line of defense for data-related incidents, rapidly diagnose root causes, and implement resilient solutions that keep critical reporting systems up and running.
Responsibilities
- Incident Management & Triage
- Serve as on-call escalation for data pipeline incidents, including real-time stream failures and batch job errors.
- Rapidly analyze logs, metrics, and trace data to pinpoint failure points across AWS, Flink, Kafka, and Python layers.
- Lead post-incident reviews: identify root causes, document findings, and drive corrective actions to closure.
- Reliability & Monitoring
- Design, implement, and maintain robust observability for data pipelines: dashboards, alerts, distributed tracing.
- Define SLOs/SLIs for data freshness, throughput, and error rates; continuously monitor and optimize.
- Automate capacity planning, scaling policies, and disaster-recovery drills for stream and batch environments.
- Architecture & Automation
- Collaborate with data engineering and product teams to architect scalable, fault-tolerant pipelines using AWS services (e.g., Step Functions, EMR, Lambda, Redshift) integrated with Apache Flink and Kafka.
- Troubleshoot & Maintain Python-based applications.
- Harden CI/CD for data jobs: implement automated testing of data schemas, versioned Flink jobs, and migration scripts.
- Performance Optimization
- Profile and tune streaming jobs: optimize checkpoint intervals, state backends, and parallelism settings in Flink.
- Analyze Kafka cluster health: tune broker configurations, partition strategies, and retention policies to meet SLAs.
- Leverage Python profiling and vectorized libraries to streamline batch analytics and report generation.
- Collaboration & Knowledge Sharing
- Act as SME for data & reporting stack: mentor peers, lead brown-bag sessions on best practices.
- Contribute to runbooks, design docs, and on-call playbooks detailing common failure modes and recovery steps.
- Work cross-functionally with DevOps, Security, and Product teams to align reliability goals and incident response workflows.
Benefits
- Enhanced leave – 38 days inclusive of 8 UK Public Holidays
- Private Health Care including family cover
- Life Assurance – 5x salary
- Flexible working-work from home and/or in our London Office
- Employee Assistance Program
- Company Pension(Salary Sacrifice options available)
- Access to training and development
- Buy and Sell holiday scheme
- The opportunity for “work from anywhere/global mobility”
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Data & Reporting SRE employer: ZILO
Contact Detail:
ZILO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Reporting SRE
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current ZILO employees on LinkedIn. A friendly chat can sometimes open doors that applications alone can't.
✨Tip Number 2
Prepare for those tricky technical interviews! Brush up on your AWS, Kafka, and Python skills. Practise explaining your thought process while solving problems, as this shows your approach to incident management and reliability.
✨Tip Number 3
Show off your passion for data! When you get the chance, share your personal projects or contributions to open-source. This not only highlights your skills but also your commitment to the field.
✨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 being part of the ZILO team.
We think you need these skills to ace Data & Reporting SRE
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for technology and data shine through. We love seeing candidates who are genuinely excited about the role and our mission at ZILO.
Tailor Your CV: Make sure to customise your CV to highlight relevant experience in data processing and reporting. Use keywords from the job description to show us you understand what we're looking for.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on your key achievements that relate to the SRE role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position.
How to prepare for a job interview at ZILO
✨Know Your Tech Stack
Make sure you’re well-versed in AWS, Apache Flink, Kafka, and Python. Brush up on how these technologies interact, especially in the context of data pipelines. Being able to discuss specific projects or experiences where you've used these tools will show your expertise.
✨Prepare for Incident Scenarios
Since the role involves incident management, think about past incidents you've handled. Be ready to explain your thought process in diagnosing issues and implementing solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Collaboration Skills
ZILO values teamwork, so be prepared to discuss how you’ve worked with cross-functional teams in the past. Highlight any mentoring experiences or knowledge-sharing sessions you’ve led, as this aligns with their emphasis on collaboration and knowledge sharing.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in ZILO’s technology and culture. Inquire about their approach to reliability and performance optimisation, or ask how they envision the future of their data processing systems. This shows you’re not just interested in the job, but also in contributing to their mission.
