Senior Data Engineer

Morgan McKinley; United States; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Remote work

Monthly office visits

Job summary

Morgan McKinley is seeking a Senior Data Engineer for a transformation journey, responsible for designing, building and scaling an enterprise data platform that underpins analytics, reporting, automation and AI initiatives across the business.

The role is remote with monthly office travel, requiring hands-on Databricks expertise (PySpark, Spark SQL, Delta Lake), advanced SQL and Python, and a proven ability to build and optimise enterprise-scale data pipelines on AWS using Finance data.

Qualifications

• Experience with Databricks stack (PySpark, Spark SQL, Delta Lake).
• Experience handling Finance Data.
• Strong SQL and Python development skills.
• Proven track record building and optimising enterprise-scale data pipelines on AWS.

Responsibilities

• Design, build and scale an enterprise data platform underpinning analytics, reporting and AI initiatives.
• Collaborate across teams to implement robust data pipelines and data models.
• Drive transformation and ensure scalable, reliable data architectures.

Skills

Databricks

PySpark

Spark SQL

Delta Lake

Finance Data

Advanced SQL

Python development

AWS

Tools

AWS

Job description

I'm currently looking for a Senior Data Engineer to come on board for a growing client who is going on a transformation journey. You will play a key role in designing, building, and scaling the enterprise data platform that underpins analytics, reporting, automation, and AI initiatives across the business.

This role will be remote - once a month travel into the office.

Job Overview/Technical Spec

• Strong hands-on experience with Databricks, including PySpark, Spark SQL, Delta Lake
• Worked with Finance Data
• Advanced SQL and Python development skills.
• Proven experience building and optimising enterprise-scale data pipelines
• Experience working with AWS Cloud platform