Job Search and Career Advice Platform

Enable job alerts via email!

Databricks Data Engineer - Cloud Pipelines and APIs

General Atlantic

Greater London

On-site

GBP 50,000 - 70,000

Full time

3 days ago
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading global investment firm is seeking an Associate-level Data Engineer to join their Data Strategy team in Greater London. You will be responsible for designing, developing, and maintaining cloud-based data pipelines and integration frameworks. Ideal applicants have strong experience in Python and SQL, along with familiarity in tools like Databricks and Snowflake. This role supports collaboration across various teams, contributing to enterprise-level data solutions while advancing your expertise in modern data engineering practices.

Benefits

Medical insurance
Retirement savings contributions
Mental health resources
Annual discretionary bonuses
Long-term incentive programs

Qualifications

  • 2-4 years of experience in data engineering or analytics engineering.
  • Experience with data platforms and cloud services.
  • Strong problem-solving skills and attention to detail.

Responsibilities

  • Design and maintain cloud-based data ingestion pipelines.
  • Build and maintain ETL workflows using Python and SQL.
  • Support creation of centralized data services and APIs.

Skills

Python
SQL
Data modeling
ETL / ELT concepts
Cloud data services
Data integration

Education

Bachelor’s degree in Computer Science
Equivalent practical experience

Tools

Databricks
Snowflake
Power BI
Tableau
Job description
A leading global investment firm is seeking an Associate-level Data Engineer to join their Data Strategy team in Greater London. You will be responsible for designing, developing, and maintaining cloud-based data pipelines and integration frameworks. Ideal applicants have strong experience in Python and SQL, along with familiarity in tools like Databricks and Snowflake. This role supports collaboration across various teams, contributing to enterprise-level data solutions while advancing your expertise in modern data engineering practices.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.