Senior Data Developer (SQL) in London

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, prediction, and crypto markets.

With over 20 years of experience in developing Wall Street-grade Fin Tech, 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 on 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.

We’re looking for a strong Software Engineer with experience in Data Engineering.

Someone who is proficient in building robust, scalable, maintainable, and thoroughly monitored data pipelines on cloud environments.

Design and optimize the Click House data layer - including table engines, partition strategies, materialized views, and storage policies - to ensure high performance at billions-of-events scale.

Own Click House clusters sizing, topology decisions, and capacity planning across both real-time ingestion and T+1 batch workloads, balancing cost, latency, and throughput.

Drive data reliability and deduplication strategies within Click House, leveraging engine-level features (Replacing Merge Tree, Collapsing Merge Tree, etc.) and pipeline-level controls to guarantee data completeness and consistency.

Establish and continuously improve monitoring, alerting, and observability for the Click House layer — covering replication health, merge performance, query latency, and resource utilization.

Serve as the internal Click House authority, coaching engineering teams across the organization on query optimization, data modeling best practices, and efficient use of Click House-specific constructs.

Act as the primary liaison with the Click House vendor team - triaging issues, incorporating product feedback, evaluating new features, and translating vendor guidance into actionable improvements for our deployment.

Collaborate with downstream consumers (analytics, ML, product) to understand access patterns and continuously refine how data is stored and served — improving query performance, schema design, and data formats for diverse client needs.

BSc. in Computer Sciences.

~ Strong background as a software engineer with at least 5+ years of hands-on experience with Java, Rust, or Python.

~8+ years in data engineering and data pipeline development on high-volume, low-latency production environments.

~ Experience engaging with the Click House vendor team or community is a strong plus.

~ Proficiency across the broader data engineering stack: Expert-level SQL and query optimization skills, with a strong emphasis on Click House-specific patterns - materialized views, projections, TTLs, and merge tree tuning.

~ Experience with monitoring and observability tools (Prometheus, Grafana, or similar), with the ability to define and own operational health metrics for a Click House deployment.

~ Excellent verbal and written communication skills, including the ability to coach and influence engineers across teams in a remote environment.