Data Platform Engineer

This is a remote position.

·       Collaborate closely with internal and external stakeholders, developers, and managers to ensure timely deliverables.

·       Design, deploy, and operate data platforms, including real-time streaming and processing (Kafka, Flink, Debezium/CDC), on Kubernetes and as managed services.

·       Operate and evolve cloud-native data services, from databases on Kubernetes using operators (e.g. CloudNativePG for PostgreSQL) to managed data platforms (DBaaS), evaluating and prototyping new technologies and providers while ensuring security and compliance.

·       Apply DevOps and SRE principles with a strong focus on automation and scalability, managing infrastructure as version-controlled, reviewed, and tested code (Terraform/Terragrunt, Ansible, GitLab CI/CD, Argo CD, Vault, Python, Bash).

·       Build reusable modules, automation, and golden paths that let development teams provision and consume data services through self-service.

·       Reduce manual processes, operational toil, and technical debt, and contribute to migration and modernisation of remaining legacy data systems.

·       Design for resilience, high availability, and fault tolerance, including backup, recovery, and failover strategies.

·       Monitor and improve reliability and performance using observability tooling (Prometheus, Grafana). Analyse, troubleshoot, and resolve complex incidents, and address root causes to prevent recurrence.

·       Analyse resource usage, growth patterns, and capacity, and promote cost efficiency and FinOps principles across data platforms.

Participate in the 24/7 rotational hotline to maintain system resilience

• Proven experience operating production databases (e.g. PostgreSQL, MongoDB, Valkey): replication, high availability, backup and recovery, and upgrades.

·       Hands-on experience with data streaming and real-time processing technologies (e.g. Kafka, Flink).

·       Solid experience applying DevOps principles in production, including CI/CD, automation (Python, Bash, or similar), and Infrastructure as Code (e.g. Terraform, Terragrunt, and Ansible).

·       Strong SQL skills and experience with database performance tuning (queries, indexing, engine configuration).

·       Operational experience with public cloud, preferably Azure.
Working knowledge of Kubernetes and containers.

·       Strong autonomy and critical thinking skills, with a sense of ownership, a continuous-improvement mindset, and the ability to work in cross-functional teams.

·       Excellent communication skills (written, listening, and speaking), a collaborative mindset, and a proactive attitude.

·       Strong Kubernetes/AKS knowledge, particularly with stateful or data-intensive workloads and database operators (e.g. CloudNativePG), including storage and autoscaling.

·       Good Linux administration and troubleshooting.

·       Experience with managed data services (DBaaS), e.g. managed PostgreSQL, Kafka, or MongoDB offerings.

·       Experience with CDC (e.g. Debezium).

·       Proficiency with GitLab CI/CD and GitOps.