Senior Data Engineer

Merkle Science

. Design, build, and run systems behind data products, covering ingestion, processing, analytical storage, and serving .

Posted 11/11/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production data systems, with a strong focus on designing scalable data pipelines and backend services using Python and Go. Proficient in optimizing data models and workloads for performance and cost efficiency in cloud environments.

Highest-signal resume keywords

Production Data Systems ExperienceExpert Python ProgrammingClickHouse Data ModelingDatabricks Pipeline DevelopmentKafka and Airflow Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL and ELT PipelinesSQLConcurrency and AsyncioIncremental Data ModelsGo ProgrammingPySparkDelta LakeKubernetesDockerHelm

Soft Skills

Mentoring EngineersCollaboration with TeamsProblem-Solving

Tools & Technologies

ClickHouseDatabricksKafkaAirflowGoogle CloudAWS

Industry Keywords

Blockchain DataInfrastructure as CodeObservabilityFintechCompliance

Tech Stack

Tools & technologies

AirflowAWSCloudDockerETLKafkaKubernetesPySparkPythonSQLUnityGo

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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