Data Engineer II — Build Scalable Data Pipelines (Python/Spark)

LexisNexis Risk Solutions; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Comprehensive Pension Plan

Generous vacation entitlement

Flexible working hours

Job summary

LexisNexis Risk Solutions is looking for a Data Engineer II to build and maintain data pipelines within a collaborative team environment. Ideal candidates will have 2-3 years of experience and proficiency in Python, SQL, and Spark.

The position supports core products by utilizing various technologies and participating in project delivery while contributing to a culture of innovation and excellence.

Qualifications

• 2–3 years of commercial experience as a data or software engineer.
• Proficiency in Python, SQL, and Spark.
• Basic understanding of data engineering concepts.

Responsibilities

• Building and maintaining data pipelines and services.
• Working with technologies such as Python, SQL, Spark, and Airflow.
• Collaborating with product, platform, and data science teams.

Skills

Python

SQL

Spark

Airflow

Job description

LexisNexis Risk Solutions is looking for a Data Engineer II to build and maintain data pipelines within a collaborative team environment. Ideal candidates will have 2-3 years of experience and proficiency in Python, SQL, and Spark.

The position supports core products by utilizing various technologies and participating in project delivery while contributing to a culture of innovation and excellence.