UK Full-time Description About Solidus Labs At Solidus, we are shaping the financial markets of tomorrow by providing cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets and crypto markets. With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered in Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day. The Role We’re looking for a strong Software Engineer with Data Engineering experience. Someone proficient in building robust, scalable, maintainable, and thoroughly monitored data pipelines on cloud environments. As a young and ambitious company in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized. We value self-starters who are willing to get their hands dirty with day-to-day work that might be out of their official scope, while keeping an eye on their goals and the big picture. Responsibilities Design and develop the data team's microservices - Java / Python services running on K8S. Address data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more. Develop, design, and maintain end-to-end ETL workflows, including data ingestion and transformation logic, involving different data sources. Enrich financial data through third-party data integrations. Develop and maintain our data pipeline written mostly in Java and running on K8S in a microservice architecture. Plan and communicate integrations with other teams that consume the data and use it for insights creation. Continuously improve data storage and serving methods. Optimize queries and data formats for various clients. Required skills BSc. in Computer Sciences from a top university, or equivalent. Strong software engineering background with at least 3+ years experience with Java. 5+ years in data engineering and data pipeline development in high-volume production environments. 5+ years experience with monitoring systems (Prometheus, Grafana, Zabbix, Datadog). Experience working in fintech, crypto, or trading industries; familiarity with FIX is a plus. Experience in object-oriented development with strong software engineering foundations. Experience with data-engineering cloud technologies such as Apache Airflow, K8S, Clickhouse, Snowflake, Redis, cache technologies, and Kafka. Proven experience with relational and non-relational databases; proficient in SQL and query optimization. Experience designing infrastructure at scale to maintain high availability SLAs. Experience managing production environments and monitoring systems. Curiosity, proactive problem-solving skills, and strong communication skills. Excellent verbal and written communication skills suitable for a remote environment.
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