Data Engineer

Fincore Ltd develops and operates software solutions for diverse industries, including banking, finance, gaming, sports betting, healthcare, and civil service. The company provides technology services to international businesses and institutions, focusing on the delivery of scalable data systems and analytical platforms.

• Design, develop, and optimize data pipelines to ingest and process large datasets from multiple systems;
• Build and maintain the analytical data warehouse using ClickHouse;
• Develop and orchestrate workflows using Apache Airflow/Dagster, dbt, and Python;
• Collaborate with data analysts, engineers, and product teams to ensure reliable and well-structured data;
• Oversee end-to-end technical design, quality, and long-term scalable, reliable data pipelines and analytics platforms;
• Improve the reliability and maintainability of the platform through better data quality checks, testing, monitoring, and observability;
• Identify and remove technical blockers during development cycles and support teammates in solving complex technical challenges;
• Contribute to improving engineering practices and introducing scalable solutions across the data platform;
• Document data pipelines, best practices, and processes to support knowledge sharing within the team;
• Foster a culture of knowledge sharing, mentorship, and continuous learning within the team.

• 5+ Years of experience in data engineering or a related role;
• Strong expertise in Python, SQL, and data modelling;
• Experience with performance tuning and query optimization;
• Hands-on experience with tools such as ClickHouse, Airflow/Dagster, dbt, Spark or other distributed processing tools;
• Strong understanding of ETL/ELT pipelines, data warehousing principles, and distributed data processing;
• Experience working with large datasets and optimizing analytical workloads;
• Experience with data quality monitoring, logging, alerting, and governance standards;
• Proactive mindset and strong sense of ownership when solving technical challenges;
• Clear and assertive communication skills and the ability to collaborate effectively across teams;
• Interest in mentoring other engineers and helping the team continuously improve;
• Curiosity and openness to learning new technologies and approaches;
• Nice to have: Experience working with high-volume transactional data (gaming, fintech, or betting platforms), familiarity with reporting solutions and dashboards (e.g., Superset), familiarity with cloud-based data infrastructure (AWS or Azure).

• Competitive salary;
• Private health insurance;
• FitPass membership and in-house gym;
• Access to learning resources;
• Supportive and collaborative work environment.