Senior Data Engineer

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🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 182 days.
• No salary listed.

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Merkle Science

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

⚖️ Legal

📋 Compliance

Consulting • Legal • Compliance

Merkle Science is a next generation predictive cryptocurrency risk and intelligence platform founded in 2018, focusing on helping crypto companies, financial institutions, and government entities detect, investigate, and prevent illegal activities involving cryptocurrencies. Their proprietary Behavioral Rule Engine enables compliance teams to meet KYC/AML obligations and navigate the complexities of illicit activities in the cryptocurrency space. Merkle Science aims to create infrastructure for the safe growth of the cryptocurrency industry within the larger financial services ecosystem.

📋 Description

• Design, build, and run systems behind data products, covering ingestion, processing, analytical storage, and serving • Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains • Build backend data services and loaders in Go and Python • Design and evolve ClickHouse data models and analytical workloads, tuning them for sub-second queries • Build incremental, idempotent Databricks pipelines over billions of rows and tens of terabytes • Improve platform scale, reliability, freshness, performance, and cost efficiency • Investigate and resolve difficult performance and reliability problems • Collaborate with product, analytics, and investigations teams to translate needs into platform designs • Contribute to architecture discussions, design reviews, and code reviews • Mentor engineers and establish strong engineering and operational practices • Own work from design document through production and be accountable for pipeline results

🎯 Requirements

• 5+ years building and operating production data systems, including ETL and ELT pipelines • At least 2 years owning systems that other engineers depend on • Expert Python and strong SQL • Typed, tested code; asyncio and concurrency experience • Experience building incremental data models over billions of rows • Production experience with Go for backend services, high-throughput services, or data loaders • Production ClickHouse experience, including MergeTree schema and sort-key design, materialised views, bulk loads, and query tuning • Production Databricks experience with PySpark, Delta Lake, and Unity Catalog • Experience designing incremental and idempotent tables and monitoring compute cost • Hands-on experience with pipelines over billions of rows and tens of terabytes • Understanding of partitioning, clustering, and file sizing effects on cost and latency • Production Kafka, Airflow, and Kubernetes experience • Understanding of delivery semantics and idempotent writes • Experience handling backfills and failures • Experience running data workloads with Docker and Helm • Google Cloud preferred; AWS accepted • Ability to instrument systems, write runbooks and post-incident reviews, and write design documents • Blockchain data experience is nice to have, not required • Experience with graph or distributed key-value stores is nice to have • Infrastructure as code, GitOps, observability, and load-test design experience is nice to have • Experience building platforms serving multiple data sources, datasets, or product teams is nice to have • AI-assisted development and fintech, compliance, or AML experience are nice to have

🏖️ Benefits

• Excellent health insurance • Flexible time off • Learning & development initiatives • Hours designed to provide work/life balance • Team-building sessions • Mental health discussions/support • Industry-leading compensation • Generous equity • Career growth opportunities

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