Senior Data Engineer

Who we are

Billennium is an international IT company with over 20 years of experience, specializing in the design and development of advanced technology solutions. We support clients across various industries, delivering projects based on partnership, expertise, responsibility, and long‑term cooperation.

About the role

You will join the Data team, which is building a modern, cloud‑native data platform for an organization in the energy sector. The project focuses on developing data services in a hybrid environment (private and public cloud) based on Kubernetes, with strong emphasis on automation, scalability, and reliability.

Your responsibilities

• Development and testing of containerized data services (e.g. MongoDB, Kafka, Spark) on Kubernetes using Helm and GitOps

• Building Kubernetes Operators and/or custom controllers to automate the full lifecycle of stateful workloads (provisioning, scaling, backup, restore)

• Designing and maintaining observability for data workloads (logging, metrics, alerting)

• Implementing an observability stack (Prometheus, Grafana, Fluentd)

• Automating deployment and operational processes using CI/CD pipelines

• Designing, configuring, and maintaining Kubernetes clusters (production and non‑production) using Infrastructure as Code (Terraform)

• Ensuring high availability, scalability, and security of the platform

• Configuring RBAC, security policies, secrets management, and network policies

• Deploying and maintaining a Service Mesh (mTLS, traffic management, policy enforcement)

Must have

• Minimum 5 years of experience in IT

• At least 2 years of experience in data services / data engineering

• Strong knowledge of SQL and NoSQL databases, data processing, and streaming solutions

• Hands‑on experience with Kubernetes (including Kubernetes Operators)

• Proven experience in designing scalable data architectures

• Experience working with agile methodologies (Scrum, Kanban)

• Very good command of English (minimum C1)

Nice to have

• Experience in Platform Engineering

• Advanced expertise in Kubernetes and the cloud‑native ecosystem

• Practical experience with GitHub Copilot and responsible use of AI tools

• Experience in hybrid cloud environments (private and public cloud)

What we offer

• Remote work model with occasional visits to the office in Hamburg and/or Berlin

• Participation in a long‑term, international, high‑complexity project

• Real influence on the data platform architecture and standards

• Stable cooperation and transparent rules

• Access to modern technologies and tools

• Support from experienced experts and a strong knowledge‑sharing culture

Recruitment process

• HR interview

• Online technical interview

• Decision and feedback