Senior Data Engineer (Infra)

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

As an ambitious start-up in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, with a self-starter attitude and a willingness to get our hands dirty with day-to-day work that might fall outside our official scope, while keeping an eye on our goals and the big picture

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

Own ClickHouse 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 ClickHouse, leveraging engine-level features (ReplacingMergeTree, CollapsingMergeTree, etc.) and pipeline-level controls to guarantee data completeness and consistency

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

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

Act as the primary liaison with the ClickHouse 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

Define and enforce schema versioning and governance standards within the ClickHouse environment, ensuring schema evolution does not compromise pipeline reliability or consumer compatibility- Strong background as a software engineer with at least 5+ years of hands-on experience with Java, Rust, or Python

Deep, hands-on ClickHouse expertise - including cluster architecture, table engine selection, replication, sharding, and query optimization. Experience engaging with the ClickHouse vendor team or community is a strong plus

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

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

Curiosity, ability to work independently, and a track record of proactively identifying and driving solutions

BSc. in Computer Sciences

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

Expert-level SQL and query optimization skills, with a strong emphasis on ClickHouse-specific patterns - materialized views, projections, TTLs, and merge tree tuning

Proficiency across the broader data engineering stack: Apache Kafka, Spark, Airflow, Kubernetes, Redis, Snowflake, and caching technologies

Experience working in low-latency, real-time systems processing billions of events a day