Data Engineer – Cloud Data & AI for Finance

Undisclosed; Greater London; On-site; GBP 42,000 - 64,000; Full time

Job summary

Undisclosed in London is seeking a Data Engineer / Data Scientist (Junior to Mid-Level) to join its lean technology team within an asset management environment. You will build data pipelines, models and datasets on a modern cloud platform, supporting reporting, analytics and operational processes.

You will develop dashboards using Sigma, Power BI, Tableau or Looker, while integrating investment, operational, market and risk data and contributing to AI-enabled development initiatives.

Qualifications

• 1-4 years of experience in data engineering, data science, analytics or related field.
• Strong SQL skills with Python experience and exposure to cloud data warehouses (Snowflake/Databricks/BigQuery/Redshift).
• Experience building dashboards/reports with Sigma, Power BI, Tableau or Looker.

Responsibilities

• Build and maintain data pipelines, models and datasets within a modern cloud data platform for reporting and analytics.
• Develop dashboards and reporting solutions using Sigma, Power BI, Tableau, Looker or similar BI tools for business stakeholders.
• Support integration and modelling of investment, operational, market, risk and accounting data while ensuring data quality and documentation standards.
• Contribute to analytical, data science and AI initiatives, including data quality monitoring and AI-enabled development workflows.

Skills

Communication

AI interest

Analytical thinking

Tools

Snowflake

Databricks

BigQuery

Redshift

Sigma

Power BI

Tableau

Looker

Job description

Undisclosed in London is seeking a Data Engineer / Data Scientist (Junior to Mid-Level) to join its lean technology team within an asset management environment. You will build data pipelines, models and datasets on a modern cloud platform, supporting reporting, analytics and operational processes.

You will develop dashboards using Sigma, Power BI, Tableau or Looker, while integrating investment, operational, market and risk data and contributing to AI-enabled development initiatives.