Data Engineer

About the Position

Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal assistant that uses hosted APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

Responsibilities

• Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
• Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
• Improve source attribution so responses reliably point to the correct documents and sections in a consistent format
• Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
• Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

Requirements

• 8+ years of hands-on experience in Data Science and 2+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects
• Strong programming skills in languages such as Python and familiarity building ETL pipelines
• Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases
• Solid experience with OpenSearch
• Familiarity with AWS cloud platform and its services
• Experience with version control systems (e.g., Git) and CI/CD pipelines
• Ability to build scalable infrastructure to embed and search very large number of documents
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
• Expertise in ML
• Strong English skills (B2 and higher)
• Strong verbal and written communication skills
• Ability to work independently and collaborate in a group

Nice to Have

• Agile certification
• Oracle/Microsoft attestations and certifications
• Domain knowledge in Trading and Capital Markets

We Offer

• Competitive salary
• Opportunity to work remotely from Bulgaria
• Professional growth and development

About the Company

Luxoft is a global provider of digital transformation and technology services, empowering businesses to innovate and thrive in the digital age. We are committed to delivering excellence and creating value for our clients, partners, and employees.

Apply Now

If you are passionate about data engineering and meet the above requirements, we would love to hear from you. Apply now to join our team in Bulgaria.