Scala Senior Data Engineer

JR United Kingdom; Watford; Remote; GBP 50,000 - 70,000; Full time

Job summary

A rapidly growing search marketing company seeks a Senior Data Engineer to work with major brands like Adidas and Louis Vuitton. The role involves managing trillions of data points daily and requires strong skills in Scala, Spark, and Java for data modeling and ETL processes.

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

Scala

Spark

Java

Data Modeling

Data Warehouse Solutions

Education

STEM degree or equivalent experience

Job description

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Scala Senior Data Engineer, watford, hertfordshire

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Client:

Location:

watford, hertfordshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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.