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# Senior data platform engineer / engenheiro de plataforma de dados senior

- **Company:** Fugro Group
- **Location:** Leidschendam, Netherlands (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Geographic Information Systems, Amazon Web Services, Amazon Elastic Compute Cloud, Bash Shell, Cloud Computing, Data Infrastructure, DevOps, Disaster Recovery, Protocol Buffers, Identity and Access Management, Python (Programming Language), Performance Tuning, Reliability Engineering, Data Streaming, Scripting, Cloud Platform System, Grafana, Amazon Virtual Private Cloud (VPC), Infrastructure Automation Frameworks, Apache Kafka, Cloudwatch, Terraform, Data Pipelines, Databricks, Microservices
- **Published:** November 4, 2026
- **Apply:** https://nl.talent.com/redirect?id=637619402736479126&source=vacant&utm_medium=xml&utm_campaign=marketing&utm_product=vacantnew_bulk&oapply=org_v2026-10&puid=edaaaddddda9addabddf9dd7eddcaddgadaebdd99ddd9ddabddcadd9bda7addfcdde9ddabea3addffddgaed2dddgaddgfddgaddgaddg9ddg6ed3gc9bbb9b3bee3ee33def3de93de73dedgddcgddafdd93de73deegddc3ee33de93deg3ee33ee33deg3ee33ee33ee33ee33ee33ee3&pos=1&xml_batch_generation_id=d07c11a4-cb75-4042-9109-04003a5066b0&falcon=1&pid=f587fef703f2&bpid=9e1a7542a636a994020f8d3f07cb95d9

## About the Role

5+ years of experience in data platform, cloud platform, SRE, DevOps, or infrastructure engineering roles, including at least 3 years of hands-on experience operating Kafka in production environments.

 - Strong knowledge of Kafka internals: partitions, replication, ISR, controller quorum, KRaft.

 - Expertise in AWS services: VPC, EC2, MSK, IAM, Secrets Manager, networking.

 - Familiarity with Databricks Structured Streaming and Kafka Connect

 - Proven experience with TLS/mTLS, SASL/SCRAM, ACLs, and secure cluster design. Proficiency in Infrastructure as Code (Terraform preferred).

 - Familiarity with CI/CD pipelines for cluster and topic configuration.

 - Monitoring and alerting using Grafana, CloudWatch, and log aggregation.

 - Disaster recovery strategies.

 - Strong scripting skills (Bash, Python) for automation and tooling.

 - Excellent documentation and communication skills.

 - At least Upper-Intermediate level of spoken and written English.

Bonus Points

 - Cloud Certifications, preferably AWS

 - Knowledge of Schema Registry (Protobuf) and schema governance.

 - Previous experience working with geospatial data.

## Description

To further develop and deploy our CDB, we want to strengthen the team with an experienced Data Platform Engineer who will expand and mature the Kafka infrastructure and Databricks implementation on AWS. This role focuses on secure cluster setup, lifecycle management, performance tuning, Databricks pipeline management and reliability engineering to ensure the data platform runs at enterprise-grade standards.

What You Will Do

 - Design, deploy, and maintain secure, highly available Kafka clusters in AWS (MSK or self-managed).

 - Perform capacity planning, performance tuning, and proactive scaling.

 - Automate infrastructure and configuration using Terraform and GitOps principles.

 - Manage and optimize Databricks workspaces, clusters, jobs, and streaming pipelines on AWS.

 - Implement observability: metrics, Grafana dashboards, CloudWatch alarms.

 - Develop runbooks for incident response, disaster recovery, and rolling upgrades.

 - Ensure compliance with security and audit requirements (ISO27001).

 - Collaborate with development teams to provide Kafka best practices for .NET microservices and Databricks streaming jobs.

 - Conduct resilience testing and maintain documented RPO/RTO strategies.

 - Drive continuous improvement in cost optimization, reliability, and operational maturity.