---
title: 'Senior Data Engineer at Merkle Science'
canonical: 'https://feeny.ai/job/senior-data-engineer-merkle-science-london-5jtmtx4qgs76'
type: 'job'
last_seen: '2026-11-11'
---

# Senior Data Engineer at Merkle Science

- **Company:** Merkle Science
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-11-11
- **Last confirmed live:** 2026-11-11
- **Apply:** https://jobs.lever.co/merklescience/a460dd83-be9a-45d5-8fd8-31df1d017fef

## Job description

⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.

Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.

## The Role

You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you.

## What You'll Do

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 data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices.

## What You Bring

5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve.

## Nice to Have

Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML.

## How We Work

You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce.

❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.

We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

## About Merkle Science

## Company Overview
- **One-liner**: Merkle Science is an AI-powered blockchain analytics and predictive risk intelligence platform that helps crypto companies, financial institutions, and government agencies detect, investigate, and prevent illicit cryptocurrency activity.
- **Entity Type**: Private (has raised venture funding; last known round: Series A in 2021)
- **Headquarters**: New York, NY, USA (with offices in London, Singapore, and Bangalore)
- **Founded**: 2018
- **Founders**: Mriganka Pattnaik (Co-Founder and CEO) – other co-founder(s) not publicly listed on the company site.

## Core Business
- **Primary industry**: Blockchain analytics, crypto compliance, risk intelligence, and cybersecurity.
- **Target customers**: Crypto companies (exchanges, custodians, DeFi protocols), financial institutions, banks, and government/regulatory agencies.
- **Mission or purpose**: “We’re creating the infrastructure to enable crypto’s safe & healthy growth” – the company envisions a world powered by crypto and acts as a catalyst for compliance and innovation [merklescience.com](https://www.merklescience.com/).

## Products & Services
- **Compass**: A compliance and risk monitoring platform for AML/KYC/CFT obligations. Uses a behavioral rule engine to go beyond blacklists and provide predictive risk scoring [merklescience.com](https://www.merklescience.com/).
- **Tracker**: An automated forensic investigation tool that traces illicit cryptocurrency activity across 10,000+ assets and 200+ bridges. Designed for law enforcement, exchanges, and security teams [merklescience.com](https://www.merklescience.com/).
- **Data Platform**: AI-powered analytics platform allowing custom queries, large-scale investigation (e.g., transaction lists from major scams), and deep research [merklescience.com](https://www.merklescience.com/).
- **Onchain Pulse**: A proactive risk intelligence product that provides token risk scores (sanctions, darknet, CSAM) and aggregate VASP risk scores to support stablecoin adoption and threat mitigation [merklescience.com](https://www.merklescience.com/).
- **Training & Certifications**: On-demand courses for professional investigators, compliance officers, and crypto business leaders, including certifications in MiCAR compliance, AML/CFT, and crypto investigations [merklescience.com](https://www.merklescience.com/).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of approximately $25.6M (according to public data aggregators), with the most recent public round being a $5.8M Series A led by Darrow Holdings in September 2021 [merklescience.com](https://www.merklescience.com/). Annual revenue estimated at $8.2M (third-party estimate).
- **Notable Investors/Partners**: Darrow Holdings (Series A lead), Tenity (pre-seed lead), Creative Destruction Lab (non-equity assistance). The company is “Trusted by 70+ Companies” [merklescience.com/about](https://www.merklescience.com/about).
- **Growth Signals**: The company has a global presence with offices in four countries, a growing marketing team actively recruiting across levels, and a LinkedIn following of over 30,000 with steady yearly growth [linkedin.com](https://www.linkedin.com/company/merklescience). The platform claims “industry leading crosschain coverage” and “best sanctions attribution for Russian and Iranian exchanges” [merklescience.com](https://www.merklescience.com/).

## Competitive Advantages
- **Predictive, behavior-based analytics**: Uses a proprietary Behavioral Rule Engine that goes beyond simple blacklists to identify suspicious behavior, reducing false positives and catching novel threats.
- **Broad cross-chain coverage**: Supports 10,000+ assets and 200+ bridges, giving it a wide net for forensic investigations and compliance monitoring.
- **Regulatory focus**: Products are built to meet specific regulatory frameworks (AML, KYC, CFT, MiCAR), making them directly useful for compliance teams in a fast-evolving regulatory landscape.
- **Training ecosystem**: Offers certifications that create a skilled user base and deeper adoption of the platform.

## Strategic Focus
- **Expanding into stablecoin compliance**: The Onchain Pulse product and MiCAR certification indicate a strategic push into the stablecoin and European regulatory market.
- **Scaling the team**: Active hiring across engineering, data science, customer success, and marketing – particularly in the US, India, and UK [lever.co](https://jobs.lever.co/merklescience).
- **Deepening AI capabilities**: Emphasizing “AI-powered analytics” and predictive risk scoring to maintain a technological edge.

## Why Work Here
- **Mission-driven culture**: The company is focused on enabling safe crypto growth, which appeals to those passionate about blockchain and financial integrity.
- **Global team**: Distributed workforce across India, US, UK, Singapore, and Portugal, with flexible work arrangements likely (hybrid/remote based on office locations).
- **Technical challenges**: Roles include backend engineering, data science, and blockchain intelligence – offering exposure to cutting-edge crypto analytics and AI.
- **Growth stage**: With ~48 employees (as of recent data), the company is at a scale where individual contributions have high visibility and impact.
- **Employee sentiment**: Anonymous reviews give a 3.9/5.0 overall rating, with compensation at 4.1 and work-life balance at 3.9 (based on third-party aggregator data).
- **Notable perks**: Offices in NYC, London, Singapore, and Bangalore; recent hiring push indicates growth and opportunity for career advancement.

## Sources
1. [merklescience.com](https://www.merklescience.com/) – Company homepage (products, mission, features)
2. [merklescience.com/about](https://www.merklescience.com/about) – About page (founding, locations, trust, vision)
3. [linkedin.com](https://www.linkedin.com/company/merklescience) – LinkedIn company page (headcount, culture posts, hiring updates)
4. [lever.co](https://jobs.lever.co/merklescience) – Careers page (open roles, team structure)

## Other roles at Merkle Science

- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-merkle-science-new-york-pwne7rfv2zds) — New York, NY
- [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-merkle-science-bengaluru-6m7fkszfw0y4) — Bengaluru, India
- [Account Executive - US](https://feeny.ai/job/account-executive-us-merkle-science-new-york-ec8eezhrefjh) — New York, NY
- [Content Writer - Crypto/Blockchain](https://feeny.ai/job/content-writer-crypto-blockchain-merkle-science-99hsscjt8enn)
- [Director of Finance](https://feeny.ai/job/director-of-finance-merkle-science-new-york-wfsmvcs454vr) — New York, NY
- [Customer Success Manager](https://feeny.ai/job/customer-success-manager-merkle-science-new-york-87vds9d9xd5q) — New York, NY
- [Event Marketing Manager  (London)](https://feeny.ai/job/event-marketing-manager-london-merkle-science-london-g53xbn8gejek) — London, United Kingdom
- [Event Marketing Manager  (London)](https://feeny.ai/job/event-marketing-manager-london-merkle-science-london-608zjwcc5786) — London, United Kingdom
- [Product Marketing Manager (London)](https://feeny.ai/job/product-marketing-manager-london-merkle-science-london-z7yj3aaee5mv) — London, United Kingdom
- [Customer success manager](https://feeny.ai/job/customer-success-manager-merkle-science-bengaluru-cvw34x326tdd) — Bengaluru, India