Senior Data Platform Engineer, Python, Azure, Kubernetes

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🕒 March 24

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HumanIT Digital Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🤝 B2B

🎯 Recruiter

B2B • Recruitment

HumanIT Digital Consulting is a human-centered digital consulting and talent services firm that helps organizations find, onboard and grow people while delivering digital transformation and IT-related consulting. The company emphasizes people-first values and offers services to both jobseekers and hiring companies across offices in Portugal and Switzerland. HumanIT positions itself as a partner for businesses seeking human talent and for professionals seeking career opportunities in digital and IT roles.

📋 Description

• Join a world-class technology consultancy as a Senior Data Platform Engineer, bridging data and software engineering to build scalable, reliable infrastructure. • You'll design and maintain cloud-native data platforms using Python, Terraform, and Kubernetes while creating smooth data processing and deployment experiences. • You'll build software services and APIs using Python frameworks (ideally FastAPI) to create reliable data processing and deployment experiences. • The role involves designing and maintaining secure cloud infrastructure from a software engineering perspective, handling core networking components including WAF and CDN on Azure. • You'll use Terraform to manage infrastructure as code and deploy scalable services using AKS (Azure Kubernetes Service) and Docker. • Implementing end-to-end data solutions, you'll ensure data flows correctly across real-time streaming architectures (Kafka/Kinesis) and batch processing systems. • Working with data platforms like Databricks, Snowflake, and Airflow, you'll apply data modeling methodologies including Kimball, Inmon, and Data Vault. • Strong focus on CI/CD workflows, engineering principles, and architectural best practices to deliver high-impact solutions in fast-paced environments.

🎯 Requirements

• 5+ years in data roles with proven track record of end-to-end delivery in fast-paced environments • Strong Python development : Deep expertise organizing Python projects and building web services using frameworks like FastAPI • Azure cloud mastery : Deep experience with Azure cloud infrastructure including Networking, WAF, and CDN configurations • Multi-cloud exposure : Solid familiarity with AWS and GCP platforms • Infrastructure as Code : Proficient in Terraform for managing cloud infrastructure • Container orchestration : Strong hands-on experience with AKS (Azure Kubernetes Service), Kubernetes, and Docker • Data modeling expertise : Strong understanding of Kimball dimensional modeling, Inmon enterprise data warehouse, and Data Vault methodologies • Data platform experience : Hands-on with Databricks, Snowflake, and Apache Airflow for data processing and orchestration • Streaming technologies : Experience with real-time data streaming using Apache Kafka or AWS Kinesis • Software engineering mindset : Solid understanding of engineering and architectural principles applied to infrastructure and data challenges • CI/CD collaboration : Experience implementing and maintaining CI/CD workflows and pipelines • Communication excellence : Ability to translate technical concepts to leadership, partners, and diverse audiences • Language requirement : Fluent English (mandatory)