Hybrid Data Platform Engineer – Finance Tech & Analytics

Aberdeen Standard Investments; City of Edinburgh; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading investment firm is seeking a Data Engineer for its Edinburgh office, offering a hybrid work model. The successful candidate will work in a cross-functional team, focusing on building and maintaining data platforms critical to investment operations and reporting. Responsibilities include designing scalable data solutions and ensuring data quality and integration using tools like Azure Data Factory and SQL. Ideal candidates will have strong experience in data modelling, ETL development, and governance, and a commitment to engineering best practices.

Benefits

40 days annual leave

16% employer pension contribution

Discretionary performance-based bonus

Private healthcare

Gym discounts

Qualifications

• 2+ years of practical experience in data engineering.
• Proficient in SQL and data modelling techniques.
• Strong understanding of ETL processes and data governance.

Responsibilities

• Design and develop scalable data pipelines.
• Maintain data integration workflows and ensure data quality.
• Support data governance initiatives and compliance.

Skills

Data modelling

SQL

ETL development

Data governance

Agile methodologies

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake

Snowflake

Python

Power BI

Job description

A leading investment firm is seeking a Data Engineer for its Edinburgh office, offering a hybrid work model. The successful candidate will work in a cross-functional team, focusing on building and maintaining data platforms critical to investment operations and reporting. Responsibilities include designing scalable data solutions and ensuring data quality and integration using tools like Azure Data Factory and SQL. Ideal candidates will have strong experience in data modelling, ETL development, and governance, and a commitment to engineering best practices.