LOG IN
SIGN UP
Tech Job Finder - Find Software, Technology Sales and Product Manager Jobs.
Sign In
OR continue with e-mail and password
E-mail address
Password
Don't have an account?
Reset password
Join Tech Job Finder
OR continue with e-mail and password
E-mail address
First name
Last name
Username
Password
Confirm Password
How did you hear about us?
By signing up, you agree to our Terms & Conditions and Privacy Policy.

Data Engineer

at Lazard

Back to all Data Engineering jobs
Lazard logo
Investment Banking

Data Engineer

at Lazard

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

As a Data Engineer at Lazard, you will design, build and maintain scalable data pipelines and ETL processes to support analytics and financial applications. You will collaborate with data scientists, analysts and engineers to ensure data quality, availability and performance across cloud and on-prem systems. Responsibilities include optimizing SQL and big-data workflows, automating data ingestion, and implementing monitoring and data governance. The role requires strong programming (e.g., Python/SQL), experience with data platforms, and attention to security and regulatory requirements.

Data Engineer

at Lazard

Back to all Data Engineering jobs
Lazard logo
Investment Banking

Data Engineer

at Lazard

Mid LevelNo visa sponsorshipData Engineering

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

As a Data Engineer at Lazard, you will design, build and maintain scalable data pipelines and ETL processes to support analytics and financial applications. You will collaborate with data scientists, analysts and engineers to ensure data quality, availability and performance across cloud and on-prem systems. Responsibilities include optimizing SQL and big-data workflows, automating data ingestion, and implementing monitoring and data governance. The role requires strong programming (e.g., Python/SQL), experience with data platforms, and attention to security and regulatory requirements.