Data Engineer: AI-Driven Data Pipelines & APIs

CoinShares

London

Hybrid

NOK 1,141,000 - 1,902,000

Full time

14 days+

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Job summary

CoinShares is modernising its data and AI capabilities. We are seeking a Data Engineer to own design and delivery of data pipelines and services that support finance automation, reporting, operations, trading, and public data offerings.

The role is hands-on and delivery-focused, requiring deep Python, Airflow, AWS and SQL/Postgres expertise. You will translate business requirements into production systems, collaborating with finance, operations and product stakeholders to shape scope and

Qualifications

  • Proficient Python for building production data pipelines and backend services.
  • Strong SQL skills with Postgres experience and performance tuning.
  • Experience with Airflow (or similar orchestrator)
  • Hands-on AWS experience (S3, IAM, Aurora/RDS, Lambda or equivalent).
  • Ability to own delivery: scope ambiguous requirements and ship without close supervision.
  • Familiarity with AI tooling in development workflows.

Responsibilities

  • Design, build and own end-to-end ETL/ELT flows from APIs, SaaS platforms, file feeds, and internal systems.
  • Build and maintain internal and external APIs delivering data to internal systems and client-facing applications.
  • Develop analytics-ready datasets and domain-oriented schemas for reporting and automation.
  • Own delivery with stakeholders across finance, operations, product and trading; ship iteratively and land outcomes.

Skills

Python
SQL
Airflow
AWS
AI tooling
Data pipelines
Production-ready code
Communication

Tools

PostgreSQL
Airflow
AWS

Job description

CoinShares is modernising its data and AI capabilities. We are seeking a Data Engineer to own design and delivery of data pipelines and services that support finance automation, reporting, operations, trading, and public data offerings.

The role is hands-on and delivery-focused, requiring deep Python, Airflow, AWS and SQL/Postgres expertise. You will translate business requirements into production systems, collaborating with finance, operations and product stakeholders to shape scope and

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