Lead Data & AI Engineer: Analytics & Automation

Pharos Resource Partners

Greater London

On-site

GBP 90,000 - 130,000

Full time

3 days ago
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Job summary

Leading Global Investment Bank in London is seeking a Data & AI Development Lead to steer the design and delivery of data analytics, AI tooling and data infrastructure across the firm. You will lead the development of Power BI dashboards and reports, build scalable data solutions, and drive automation across the technology stack, ensuring data quality and governance from day one.

This leadership role requires 5+ years in data analytics, strong SQL and Snowflake expertise, plus Python and

Qualifications

  • 5+ years in data analysis, reporting or data engineering.
  • Hands-on Power BI experience (DAX, Power Query).
  • Proficient in Snowflake and SQL for data storage and queries.
  • Experience with Power Automate and Microsoft 365 integrations.
  • Knowledge of data governance and data lineage.

Responsibilities

  • Lead design, development and maintenance of analytics dashboards and reports.
  • Drive automation using Power Platform and ServiceNow App Builder.
  • Write and optimize SQL queries across Snowflake and other DBs.
  • Partner with stakeholders to gather requirements for analytics solutions.
  • Develop and maintain ServiceNow and Workday reporting and integrations.
  • Champion data governance, quality and best practices.
  • Provide SME on data lineage and downstream system dependencies.

Skills

Power BI
SQL
Python
Data analysis
Data engineering
Data governance
Stakeholder engagement
Power Platform
Workday reporting

Tools

Snowflake
Power Automate
ServiceNow
Workday
Microsoft 365 integrations

Job description

Leading Global Investment Bank in London is seeking a Data & AI Development Lead to steer the design and delivery of data analytics, AI tooling and data infrastructure across the firm. You will lead the development of Power BI dashboards and reports, build scalable data solutions, and drive automation across the technology stack, ensuring data quality and governance from day one.

This leadership role requires 5+ years in data analytics, strong SQL and Snowflake expertise, plus Python and

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