Data Engineer at Astrafy

Geneva, Geneva, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

14 Oct, 26

Salary

0.0

Posted On

16 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Cloud Platform, Apache Airflow, dbt Core, Terraform, Google BigQuery, CI/CD, GitHub Actions, ELT Pipelines, Data Governance, GitOps, Python, Data Architecture

Industry

IT Services and IT Consulting

Description

Your mission You will work on different projects to help Astrafy customers get the most out of their data. You will work on the business and technical sides of the customer usecase, bridging the gap between raw cloud infrastructure and business-ready insights. On the business side: Architect Tailored Solutions: Translate client business goals into highly scalable, cost-efficient data platform designs combining Google Cloud’s power with open-source flexibility. Democratize Insights: Design and deploy modern exposition layers to keep insights accessible and cost-effective. Implement Data Governance: Set up automated data quality, lineage, monitoring frameworks and access management to guarantee high-trust data across business units. On the technical side: Build Scalable Pipelines: Design and maintain robust ELT pipelines, generally powered by Apache Airflow and dbt Core, optimized for Google BigQuery. Automate with IaC: Provision and manage GCP infrastructure (Cloud Storage, Pub/Sub, Cloud Functions) using Terraform, adhering to clean, declarative GitOps workflows. Enforce Software Rigor: Set up robust CI/CD pipelines (e.g., GitHub Actions) to automate testing, linting, and zero-downtime deployment of dbt and Airflow workflows. In addition to these core responsibilities, we strongly value knowledge-sharing and community engagement. At Astrafy, we are active contributors on platforms like Medium, where we regularly publish articles to share our expertise, insights, and innovations, helping to grow both our community and industry presence. As part of the role, the candidate will also be encouraged to write articles, offering valuable insights and thought leadership to enhance Astrafy's impact further and foster greater collaboration within our field. Your profile Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Professional Experience: 1+ years of hands-on experience in data engineering or software engineering roles, building and optimizing data pipelines. Cloud Knowledge: Familiarity with Google Cloud Platform (GCP) services for data storage, orchestration, and analytics; experience with other cloud providers is a plus. Team Player: Strong communication and collaboration skills, with the ability to work effectively within cross-functional teams to deliver impactful data solutions. Continuous Learning: Curiosity to stay updated on emerging data technologies, practices, and frameworks, and to share knowledge across the organization. You speak English and French fluently, and a word of Spanish is a plus Was this list a bit much? Don't worry, we don't expect you to tick every box from the beginning. Why us? What We Offer Attractive Salary Package: No blurry or hidden clauses. Everything is transparently outlined in our Gitbook Genuine Innovation: An exciting role where technology innovation is more than a buzzword—it's how we operate daily. Strong Values & Culture: Become part of a dynamic team that lives by solid values. Learn more in our “Culture and Values” chart Continuous Learning: We offer ongoing training and development for both soft and hard skills. Check out our training policy Flexible Work Environment: Enjoy flexible hours and remote work options. Discover more here. Team-Building & Retreats: Thrive in a supportive environment, supported by regular team activities. Learn more here And Much More: Our handbook covers all you need to know about who we are and how we work. About us At Astrafy, we are on a mission to empower every individual with a truthful vision of reality. By acting as a seamless extension of our clients' Data & AI departments, we engineer the robust foundations required to strip away bias and replace guesswork with certainty. We prioritize true craftsmanship over generic consulting, bringing strict software engineering rigor to the rapidly evolving data and Generative AI landscape. Ultimately, we don't just build technology — we democratize insights, enabling organizations to make confident, fact-driven decisions that unlock their highest potential.

Responsibilities

The role involves designing scalable data platforms and ELT pipelines using GCP, Airflow, and dbt to translate business goals into technical insights. Additionally, the candidate will implement data governance frameworks and automate infrastructure using Terraform and CI/CD pipelines.