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Data Platform Engineer – Cloud Pipelines & Analytics

Aberdeen

City of Edinburgh

Hybrid

GBP 55,000 - 70,000

Full time

2 days ago
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Job summary

A prominent investment firm in Edinburgh is seeking a Data Engineer with over 2 years of experience in data engineering. In this hybrid role, you will design and maintain scalable data platforms critical to investment operations. You'll work collaboratively with cross-functional teams, ensuring high data quality and performance. Strong skills in SQL and various Azure tools, as well as a solid understanding of ETL processes, are essential for success. Benefits include generous annual leave and a competitive pension contribution.

Benefits

40 days’ annual leave
16% employer pension contribution
Discretionary performance-based bonus
Private healthcare
Gym discounts
Season ticket loans

Qualifications

  • 2+ years of experience in data engineering.
  • Experience creating scalable data platforms.
  • Ability to ensure data quality, performance, and reliability.

Responsibilities

  • Design and develop scalable data pipelines.
  • Build data integration workflows with Azure tools.
  • Ensure observability and operational readiness of data solutions.
  • Support data governance initiatives.

Skills

SQL
Data modelling
ETL development
Experience in Asset Management or Finance Technology
DevOps tooling
CI/CD pipelines
Software development practices

Tools

Azure Data Factory
Azure Databricks
Azure Data Lake
Snowflake
Python
Power BI
DBT
Job description
A prominent investment firm in Edinburgh is seeking a Data Engineer with over 2 years of experience in data engineering. In this hybrid role, you will design and maintain scalable data platforms critical to investment operations. You'll work collaboratively with cross-functional teams, ensuring high data quality and performance. Strong skills in SQL and various Azure tools, as well as a solid understanding of ETL processes, are essential for success. Benefits include generous annual leave and a competitive pension contribution.
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