Jobgether
About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
Job Summary
We are looking for a Senior Data Engineer to strengthen our Content and Data team, with a focus on data quality. Your work will directly improve the accuracy of our job listings, classification systems, and matching algorithms.
Key Responsibilities
- Build and improve processes to clean, enrich, and structure large datasets.
- Integrate and manage existing ML models used for classification and enrichment.
- Apply NLP techniques to understand and categorize job descriptions and candidate profiles.
- Maintain and optimize non-relational databases (MongoDB, NoSQL).
- Build and operate ETL/ELT pipelines for ingestion, transformation, and delivery.
- Work with product and engineering teams to understand data requirements.
Required Qualifications
- Degree in Computer Science, Engineering, or similar.
- 5+ years of experience as a Data Engineer.
- Strong experience with data enrichment workflows.
- Solid Python skills and familiarity with data libraries.
- Experience with NLP (practical, not theoretical).
- Experience with non-relational databases (eg. MongoDB, NoSQL).
- Full fluency in English.
Preferred Qualifications
- Experience with ML frameworks (scikit-learn, TensorFlow, etc.).
- Familiarity with AWS or another cloud provider.
- Strong analytical and debugging skills.
- Ability to communicate clearly with non-technical teams.
Benefits & Perks
- Fully remote: work from anywhere.
- High-impact role: your work directly shapes the quality of our platform.
- Modern stack and room to experiment.
- Global team with a clear mission and strong ownership culture.
- Fast-moving environment where decisions are quick and contributions are visible.
To apply for this job please visit jobs.lever.co.