Data Engineer

Description: Join the Data Foundation squad to build and scale the Knowledge Graph for AI initiatives. Develop pipelines for data ingestion, transformation, and serving of the Knowledge Graph. Requirements: 3+ years of experience in building production data pipelines. Proficient in Python and SQL, with clean, production-ready code experience. Familiarity with PostgreSQL or other relational databases. Strong data modeling skills and experience with multi-source data integration. Hands-on experience with Elasticsearch / OpenSearch. Comfortable with testing, code review, CI, and operating pipelines. Nice to have: experience with graph databases, entity resolution, BigQuery, Kafka, Docker, and cloud environments (AWS/GCP). Benefits: Tenure gifts including vouchers, extra holiday, and sabbaticals. Health insurance through Vitality. Remote working flexibility for up to 20 days a year. Employee Assistance Programme for health and wellbeing support. Enhanced maternity and paternity pay. 25 days annual leave plus bank holidays, with a week off over Christmas. Access to the MyMindPal app for mental fitness support. Participation in corporate events and gatherings.