Senior Data Engineer, Python, Databricks, Spark

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🕒 June 1

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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

• Design and implement scalable data architectures • Develop robust ETL pipelines • Support advanced analytics initiatives across multiple cloud platforms • Collaborate closely with engineering leadership, stakeholders, and cross-functional teams • Contribute to architectural decisions, engineering best practices, and continuous improvement initiatives • Work on modern cloud-native data platforms supporting both real-time and batch processing workloads • Design end-to-end data pipelines • Build optimized OLAP systems • Enable scalable analytics platforms for complex business domains

🎯 Requirements

• Minimum 5 years of professional experience as a Data Engineer • Strong hands-on experience with Python • Advanced SQL skills for large-scale data processing • Strong experience with Databricks and Apache Spark • Experience designing and maintaining ETL pipelines using dbt • Experience with Apache Airflow for orchestration and workflow automation • Hands-on experience with cloud platforms including AWS, GCP, or Azure • Experience with AWS S3, Google BigQuery, Google Cloud Storage, or Azure Databricks • Knowledge of Infrastructure as Code (IaC) using Terraform • Experience with event-driven or streaming technologies such as Apache Kafka • Experience with Docker and Kubernetes • Strong understanding of dimensional data modeling methodologies including Kimball • Experience designing OLAP systems, Star Schemas, and Semantic Models • Understanding of data architecture methodologies such as Inmon and Data Vault • Experience with CI/CD workflows and Git version control • Strong communication and collaboration skills • Ability to work closely with technical and non-technical stakeholders • Fluency in English