Senior Data Engineer, Python, Snowflake, Airflow, AWS

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🕒 April 8

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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

• Architect and operate data-centric systems handling large-scale datasets on AWS • Focus on Snowflake optimization including data modeling, performance tuning, and cost efficiency • Design and orchestrate complex workflows using Apache Airflow • Build data transformations with dbt including modeling, testing, and documentation • Implement both real-time and batch data pipelines leveraging AWS services like S3 • Manage core cloud infrastructure through Infrastructure as Code using Terraform • Ensure engineering excellence through CI/CD pipelines with GitHub Actions • Conduct comprehensive automated testing (unit, linting, integration, end-to-end) • Utilize observability tools like New Relic • Collaborate through Git/GitHub workflows

🎯 Requirements

• Strong Python development skills with ability to guide and mentor other engineers • Advanced SQL expertise with experience working with large-scale datasets • Deep experience with Snowflake including data modeling, optimization, and performance tuning • Solid understanding of architectural principles, microservices design, and data-centric systems • Hands-on with Apache Airflow for designing, orchestrating, and monitoring workflows • Experience with dbt for data modeling, transformations, and testing • Proven experience building and operating both real-time and batch data pipelines • Hands-on experience with AWS S3 and core cloud services • Strong experience with GitHub Actions or similar CI/CD technologies • Proficient with Git/GitHub and collaborative development workflows • Experience using Terraform for infrastructure management • Strong practices across unit testing, linting, integration, and end-to-end tests • Experience with structured, semi-structured, and unstructured data • Experience with monitoring platforms like New Relic or similar technologies • Fluent English (mandatory)

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities