Scala Senior Data Engineer

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

Job summary

A leading search marketing company partnered with high-profile brands is seeking a Senior Data Engineer to enhance their data capabilities. The successful candidate will work with extensive data sets and cutting-edge technologies in a thriving and innovative environment. This fully remote position offers an exciting opportunity to make a substantial impact within a dynamic team.

Qualifications

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

Responsibilities

• Collaborate with data teams on project-based work.
• Develop and optimize data models and ETL processes.
• Work with Scala, Spark, and Java on 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, high wycombe

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Client:

Location:

high wycombe, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

1

Posted:

31.05.2025

Expiry Date:

15.07.2025

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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.