2 days ago
š¢ In-office - Edinburgh
ā¢ Complete individual project priorities, deadlines, and solutions. ā¢ Build pipelines that support the ingestion, analysis, and enrichment of financial data in partnership with business data analysts ā¢ Improve the existing pipeline to increase the throughput and accuracy of data ā¢ Develop and maintain efficient process controls and accurate metrics to ensure quality standards and organisational expectations are met ā¢ Partner with members of Product and Engineering to design, test, and implement new processes and tooling features that improve data quality as well as increase operational efficiency ā¢ Identify areas of automation opportunities and implement improvements ā¢ Understand data models and schemas, and work with other engineering teams to recommend extensions and changes
ā¢ 1-3 years of professional data engineering/analysis experience ā¢ Experience with object-oriented programming (we use PySpark/Python) ā¢ Knowledge of SQL or relational database concepts ā¢ Experience in data modelling, visualisation, and ETL pipelines ā¢ Knowledge of financial concepts (e.g., stocks, bonds, etc.) is helpful but not necessary ā¢ Passion for the world of FinTech and solving previously intractable problems at the heart of investment management
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