Data Engineer

Description

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.

What we offer

• Global Relocation - (Relocation options; Experience in an international environment; Cross-cultural experience)

• Recognition and Evaluation - (Feedback culture; Regular appraisals)

• Time Off - (Annual holiday - 20 or 26 days. The duration of the leave depends on the overall seniority; Occasional leave - 1 or 2 days/ depending on the circumstances; Child care leave - 2 days or 16 hours per year; Absence due to force majeure - 2 days or 16 hours per year; Maternity Leave - 20 weeks; Parental Leave - 41 weeks; Paternity Leave - 14 days)

• Luxoft Training Center - (Expert-led tech courses covering basic to advanced topics; Internal instructor-led soft skills courses; Comprehensive in-house self-learning resources for both soft and hard skills; Access to external self-learning libraries like ProQuest eBook and Udemy for Business; Cloud Programs: MS Cloud Academy, AWS Partner Academy, Google Cloud Academy; Custom Learning Programs: upskilling, reskilling, technical mentorship; Leadership Programs for Managers)

• Well-being and Work-life Balance - (Multisport card; Possibility to order Multisport card at the corporate rate for family members; LuxGood Program: wellbeing seminars, contests, relaxation sessions, yoga sessions, etc.; One Team Program: Buddy for each New Joiner; seminars, meeting and workplace space to support integration with local community and culture; “Hire me” workshops for partners; Preferential banking offer; Preferential car leasing offer; Cafeteria program discounts for shops, cinema tickets, holiday offers; Luxoft Social Benefit Fund: sport and recreation benefits, the possibility to receive financial support)

• Health Care - (Private Healthcare Insurance with unlimited access to specialists; Full dental support; Travel Insurance; Possibility to add private healthcare coverage for family members at the corporate rate; Life insurance at the corporate rate for employees and family members, including payment of the basic package for the employee by the employer; Reimbursement for corrective glasses)

• Company Events and Friendly Environment - (Many fun social activities organized by the Luxoft team offline in your city; Online entertainment events for whole company and local team events; A workplace where you’re treated with respect within a multicultural team)

• Internal Mobility - (Rotation between projects and accounts; New career opportunities)

• Self-Learning Library

• CSR Projects

Other

• Languages: English: C1 Advanced

• Seniority: Senior

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.

• Agile certification

• Oracle/Microsoft attestations and certifications

• Domain knowledge

• Trading and Capital Markets

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