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Senior Data Platform Engineer
Deepl
Contract type
Ongoing
Work mode
100% remote
Experience
Senior · Not stated
Level inferred from job title
Job description
Key details
- Build and evolve the data platform infrastructure, including a Databricks-based lakehouse, Kafka consumers for large-scale data ingestion, and foundational layers for data engineers
- Support and extend tooling like dlt (data load tool) to make ingestion patterns reusable and robust
- Make technical decisions to scale the platform with growing data volume and use-case diversity
- Enable AI-powered data workflows by building connectors, interfaces, and integrations, including MCP connectors and workflow skills
- Design for a range of users including data engineers, analysts, business teams, and AI tools
- Make data trustworthy at scale by implementing data observability, quality frameworks, monitoring, and alerting
- Steward infrastructure, developer experience, and governance, including infrastructure-as-code (Terraform/Terragrunt), CI/CD, access management, security, audit trails, and spend governance
- Build golden-path templates and patterns to enable fast and safe data access across the company
- Company mission
- Information not specified
Primary stack
Core technologies
Python (Programming Language)TerraformDockerKubernetesGoJava
Benefits
- Diverse and internationally distributed team
- Open communication
Requirements & details
- Solid, hands-on experience building and operating cloud-based data infrastructure
- Comfortable with infrastructure-as-code (Terraform/Terragrunt), CI/CD for data workflows, and container technologies (Docker/Kubernetes)
- Production-quality Python coding skills; Python is the primary language on the Data Platform
- Familiarity with Go or Java is a plus but not required
- Reliability and operational excellence mindset: builds for observability, writes meaningful alerts, owns systems in production, and turns incidents into durable improvements
- A platform-product mindset: treats engineers, analysts, and teams as primary users; thinks deeply about developer experience and reduces friction proactively
- Clear, cross-functional communication skills
- AI-native velocity: actively uses AI-powered tools to move faster and take on harder problems
- Nice-to-have: experience with Databricks, Apache Iceberg, Kafka, or similar lakehouse and streaming technologies
- Python, Databricks, Kafka, dlt, Terraform, Terragrunt, Docker, Kubernetes, MCP, Apache Iceberg, Go, Java
- Python (Programming Language)
- Terraform
- Docker
- Kubernetes
- Go
- Java