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- Tasks: Lead the design and build of enterprise-scale telemetry and observability platforms using cutting-edge tech.
- Company: Join Synechron, a global consulting firm transforming businesses with innovative digital solutions.
- Benefits: Flexible workplace arrangements, mentoring, and professional development opportunities.
- Why this job: Make a real impact in data engineering while working with top clients and advanced technologies.
- Qualifications: Strong experience with Kafka, OpenShift, and Python; excellent communication and analytical skills.
- Other info: Diversity and inclusion are at our core; we welcome applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
We are at Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
We are looking for Engineering Tech Leads with strong expertise in Data Engineering, OpenShift Telemetry, Kafka, Splunk, and LLM-based observability. This role will lead the design and build of enterprise-scale telemetry and observability platforms.
Key Responsibilities:- Design, build, and optimize large-scale OpenShift telemetry pipelines (metrics, logs, traces).
- Develop Kafka-based streaming solutions—producers, consumers, schemas, and resilient data services.
- Engineer multi-tenant observability data models, ensuring lineage, quality, and SLA compliance.
- Integrate enriched telemetry into Splunk for dashboards, alerting, analytics, and proactive insights (Observability Level 4).
- Implement schema governance (Avro/Protobuf), versioning, and compatibility controls.
- Build automated validation, replay, and backfill mechanisms for reliable data operations.
- Standardize telemetry across platforms using OpenTelemetry for metrics, tracing, and logs.
- Leverage LLMs to improve observability workflows—query assistance, anomaly summarization, and runbook automation.
- Collaborate with SRE, platform, and application teams on telemetry integration, alerting, and SLOs.
- Ensure security, compliance, RBAC, and encryption in all pipeline components.
- Maintain clear documentation for data flows, schemas, dashboards, and operational guides.
- Strong hands-on experience with Kafka (producers/consumers, schema registry, KSQL, Kafka Streams).
- Deep understanding of OpenShift/Kubernetes telemetry, Prometheus, OpenTelemetry, and CLI tooling.
- Experience integrating telemetry into Splunk (HEC, UF, sourcetypes, CIM) and creating dashboards/alerts.
- Proficiency in Python or similar languages for ETL/ELT, enrichment, and validation workflows.
- Solid experience with Avro/Protobuf/JSON schemas and compatibility best practices.
- Knowledge of observability frameworks and ability to drive towards Level 4 maturity (proactive automation).
- Understanding of multi-cluster and hybrid cloud telemetry architecture.
- Strong grounding in data security, RBAC, secrets management, and encryption.
- Excellent communication, analytical thinking, and documentation skills.
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all.
Lead Data Engineer(Kakfa/Openshift) in London employer: Synechron
Contact Detail:
Synechron Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer(Kakfa/Openshift) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at 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 repo showcasing your projects, especially those involving Kafka and OpenShift. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and observability. We recommend doing mock interviews with friends or using online platforms 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 by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Data Engineer(Kakfa/Openshift) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Kafka, OpenShift, and any relevant telemetry projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team at Synechron. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects involving data pipelines or observability platforms, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Synechron
✨Know Your Tech Inside Out
Make sure you have a solid grasp of Kafka, OpenShift, and the telemetry tools mentioned in the job description. Brush up on your knowledge of data pipelines, observability frameworks, and schema governance. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can lead projects involving them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles related to data engineering or telemetry. Think about how you approached these problems, the solutions you implemented, and the outcomes. This will demonstrate your analytical thinking and ability to drive towards Level 4 maturity in observability.
✨Communicate Clearly and Effectively
Since this role involves collaboration with various teams, practice articulating your thoughts clearly. Be ready to explain complex technical concepts in simple terms. Good communication skills are essential, so consider doing mock interviews with friends or using online platforms to refine your delivery.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and how they approach diversity and inclusion. This shows your genuine interest in the company and helps you assess if it's the right fit for you.
