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Scala Senior Data Engineer

JR United Kingdom

United Kingdom

Remote

GBP 60,000 - 80,000

Full time

7 days ago
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Job summary

An innovative and growing search marketing company is seeking a passionate Data Engineer to join their dynamic team. In this exciting role, you will work with over a trillion data points daily, developing and optimizing data models and ETL processes. This fully remote position offers the chance to collaborate with various squads within the data team and contribute to large-scale data processing using Scala, Spark, and Java. If you are driven by data and eager to make an impact in a collaborative environment, this opportunity is perfect for you.

Qualifications

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

Responsibilities

  • Collaborate with data team on project-based work.
  • Develop and optimize data models and ETL processes.

Skills

Scala
Spark
Java
Data Modeling
ETL Processes
Data Warehouse Solutions

Education

STEM Degree or Equivalent Experience

Tools

Databricks

Job description

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EU work permit required:

Yes

Job Views:

8

Posted:

18.04.2025

Expiry Date:

02.06.2025

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:

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

Requirements:

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