Senior Data Engineer

About Jobgether

Jobgether is a pioneering HR Tech startup, operating entirely remotely, and leading the revolution in the world of work. As the largest job search engine designed exclusively for remote workers, we believe that flexibility is the cornerstone of the future of work. Our mission is to empower individuals to discover opportunities that align seamlessly with their unique lifestyles.

On the Jobgether platform, companies can showcase their commitment to flexibility and remote work policies, attracting top-tier talent from across the globe. Our diverse team of 30 individuals is located in Spain, Belgium, Israel, France, Colombia, Madagascar, Italy, Ukraine, Portugal, the USA, and India, embodying the true spirit of remote work.

We operate on the fundamental principle that work should be conducted on your terms—how you want, when you want, and from wherever you want. We place a premium on accountability, valuing outcomes above all else. At Jobgether, it's not about where you work; it's about what you achieve.

What Will You Do?

As our Senior Data Engineer, you will be a cornerstone of the Content and Data team, driving the evolution of our AI-powered matching algorithm. In an ecosystem that ingests over 10,000 new job listings daily, your work will directly impact how talent connects with flexibility globally.

We aren't just looking for a developer; we need a technical architect ready to:

• Architect & Build: Design and deploy scalable, high-performance data architectures that bridge relational and non-relational systems.

• Optimize Workflows: Audit and refine existing data flows to enhance efficiency, accuracy, and system flexibility.

• Master the Pipeline: Lead the end-to-end management of data pipelines, ensuring seamless integration from ingestion (scrapers) to downstream AI/ML consumption.

• Operational Excellence: Provide hands-on support for production environments, ensuring that our scrapers and ML workflows run with maximum reliability.

• Collaborate & Document: Partner with cross-functional teams to translate business needs into technical blueprints, maintaining clear and thorough documentation.

What You Bring to the Role

We are seeking a seasoned engineer with a "builder" mindset and a deep understanding of how robust data infrastructure fuels a global platform.

Mandatory Qualifications

• Academic Foundation: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

• Proven Track Record: At least 5 years of experience in data engineering, specifically building and managing large-scale pipelines.

• Python Mastery: 5+ years of professional experience developing complex solutions with Python.

• Data Modeling Expertise: Advanced skills in schema design, data modeling, and modern data warehousing concepts.

• Database Proficiency: Deep experience with relational databases (MySQL, PostgreSQL) and NoSQL environments, specifically MongoDB.

• Cloud & Big Data: Professional experience with AWS and hands-on exposure to frameworks like Spark, Kafka, or Hadoop.

• Language Skills: Full professional fluency in both English and Spanish.

Preferred Qualifications

• ML Deployment: Hands-on experience moving Machine Learning models into production environments (MLOps).

• DevOps Culture: Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines.

• Data Integrity: Solid understanding of data security best practices and privacy regulations.

• Strategic Communication: Ability to articulate complex technical architectures to stakeholders across the organization.

Why Join Us

• Remote Work Culture: Embrace the freedom to work from anywhere in the world.

• Innovative Environment: Be part of a forward-thinking team that's shaping the future of remote work.

• Professional Growth: Opportunity to work on cutting-edge technologies and challenging projects that drive real impact.

• Diverse Team: Collaborate with a global team of passionate professionals.