Senior Data Engineer
JobgetherLatvia11 days ago
Full-timeRemote FriendlyInformation Technology
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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.
This is a hands-on role where you will design and improve data pipelines, manage non-relational databases, apply NLP techniques, and support ML workflows using existing models.
What You Will Do
Mandatory
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Your work will directly improve the accuracy of our job listings, classification systems, and matching algorithms.
This is a hands-on role where you will design and improve data pipelines, manage non-relational databases, apply NLP techniques, and support ML workflows using existing models.
What You Will Do
- Data Enrichment
- Build and improve processes to clean, enrich, and structure large datasets.
- Increase the quality and depth of the information powering our job search engine.
- Support Machine Learning Workflows
- Integrate and manage existing ML models used for classification and enrichment.
- Ensure that model outputs feed correctly into downstream processes.
- NLP and Text Processing
- Apply NLP techniques to understand and categorize job descriptions and candidate profiles.
- Help refine our tagging, clustering, and matching logic.
- Database Management
- Maintain and optimize non-relational databases (MongoDB, NoSQL).
- Support relational databases when needed.
- Data Pipelines
- Build and operate ETL/ELT pipelines for ingestion, transformation, and delivery.
- Guarantee reliability, scalability, and monitoring across all pipelines.
- Cross-team Collaboration
- Work with product and engineering teams to understand data requirements.
- Document workflows in a clear, maintainable way.
Mandatory
- 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.
- 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.
- 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.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
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