Scala Senior Data Engineer

JR United Kingdom; Warrington; Remote; GBP 50,000 - 80,000; Full time

Job summary

A leading search marketing company is seeking a Senior Data Engineer to manage trillions of data points daily. The role involves collaborating with teams to develop and optimize data solutions using Scala, Spark, and Java, requiring a strong technical background and a STEM degree.

Qualifications

• Minimum of 4 years of experience with Scala, Spark, and Java.
• Strong technical skills and a passion for working with data.
• Experience with data modeling and data warehouse solutions.

Responsibilities

• Collaborate with various squads within the data team on project-based work.
• Develop and optimize data models, warehouse solutions, and ETL processes.
• Work with Scala, Spark, and Java to handle large-scale data processing.

Skills

Data Processing

Scala

Spark

Java

Education

STEM degree or equivalent experience

Job description

Social network you want to login/join with:

Scala Senior Data Engineer, warrington, cheshire

col-narrow-left

Client:

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

1

Posted:

31.05.2025

Expiry Date:

15.07.2025

col-wide

Job Description:

Job Title: Senior Data Engineer

Location: Fully Remote (UK Based)

About Us:

This growing search marketing company works with a range of multi-billion dollar companies such as Adidas and Louis Vuitton and are looking to bring in a Data Engineer, to support their growing team.

In this role, you will handle over a trillion data points daily and they are seeking a passionate Data Engineer to join their innovative and dynamic team.

Responsibilities:

• Collaborate with various squads within the data team on project-based work.
• Develop and optimize data models, warehouse solutions, and ETL processes.
• Work with Scala, Spark, and Java to handle large-scale data processing.
• Contribute to manual Databricks-like data processing solutions.

Requirements:

• Minimum of 4 years of experience with Scala, Spark, and Java.
• Strong technical skills and a passion for working with data.
• A STEM degree or equivalent experience.
• Experience with data modeling and data warehouse solutions.