Data Engineer (Hybrid) – Build Reliable Pipelines

SoCode Recruitment

Greater London

Hybrid

GBP 55.000 - 80.000

Vollzeit

vor 8 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

SoCode Recruitment is partnering with a growing wealth management business to hire a Mid-Level Data Engineer in London. The role focuses on building and maintaining a reliable, scalable data platform, with emphasis on data quality and consistency across multiple sources.

You will own pipeline development in Python and SQL, and contribute to data modelling and API integrations. The position offers a hybrid working arrangement in a fast-moving financial services environment, with room to take

Qualifikationen

  • 2–5 years experience in data engineering or similar role.
  • Strong Python and SQL for data processing.
  • Experience building and maintaining data pipelines.
  • Experience with Snowflake or PostgreSQL.
  • Knowledge of data modeling and working with multiple data sources.
  • Experience with data validation or quality checks.
  • Familiarity with APIs and integrating external datasets.
  • Awareness of Medallion Architecture or similar frameworks.

Aufgaben

  • Develop and maintain data pipelines using Python and SQL.
  • Ingest, transform and normalize data from multiple sources in Snowflake/PostgreSQL.
  • Build and maintain data models with consistent structure.
  • Implement data quality checks and reconciliation processes.
  • Collaborate with the team to improve data quality and lineage.
  • Support integration of external data sources and APIs.

Kenntnisse

Python
SQL
Data pipelines
PostgreSQL
Snowflake
Data modelling
APIs
Medallion Architecture

Jobbeschreibung

SoCode Recruitment is partnering with a growing wealth management business to hire a Mid-Level Data Engineer in London. The role focuses on building and maintaining a reliable, scalable data platform, with emphasis on data quality and consistency across multiple sources.

You will own pipeline development in Python and SQL, and contribute to data modelling and API integrations. The position offers a hybrid working arrangement in a fast-moving financial services environment, with room to take

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