Data Engineer

Addepar Inc

Edinburgh, United Kingdom
On-site
Pyspark development experience
Databricks data lake knowledge
Sql and relational database concepts
Addepar empowers investment professionals by unifying complex financial data into actionable intelligence across nearly 60 countries

Job Summary

  • Addepar empowers investment professionals by unifying complex financial data into actionable intelligence across nearly 60 countries.
  • The role involves building high-throughput data pipelines using PySpark within a Databricks Data Lake to ingest and reconcile client portfolio data.
  • Engineers are expected to adopt AI-augmented workflows, utilizing LLM tools for code review, testing, and documentation as standard practice.

Matching Summary

Addepar empowers investment professionals by unifying complex financial data into actionable intelligence across nearly 60 countries.

Skills & Requirements

Must-have

  • PySpark development experience
  • Databricks Data Lake knowledge
  • SQL and relational database concepts
  • ETL pipeline design and maintenance
  • Object-oriented programming in Python
  • AI/LLM tool integration in workflow

Nice-to-have

  • Knowledge of financial instruments like stocks and bonds
  • Passion for FinTech and investment management
  • Experience with automated quality gates
  • Ability to work in an AI-augmented engineering environment
  • Strong collaboration skills with product teams

Key Requirements

  • Right to work in the United Kingdom required
  • Visa sponsorship not available
  • Prior professional data engineering experience

Work Rights

Must have right to work in UK from day one

Tailored Resume

Cover Letter