Scala Senior Data Engineer

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

Job summary

A dynamic search marketing company is seeking a Senior Data Engineer to manage over a trillion data points daily. This UK-based remote role involves collaboration with data teams, developing data models, and optimizing ETL processes using advanced tools like Scala, Spark, and Java.

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.
• Contribute to manual Databricks-like data processing solutions.

Skills

Data modeling

ETL processes

Data analysis

Education

STEM degree or equivalent experience

Tools

Scala

Spark

Java

Databricks

Job description

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Client:

Location:

oxford district, 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.