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QA Engineer II - Data Discovery and Test

Live Nation (Music) UK Limited

United Kingdom

On-site

GBP 40,000 - 55,000

Full time

2 days ago
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Job summary

A leading live entertainment company in the UK is looking for a Data QA Engineer II to join their Core Data Services team. This role involves developing automation tests, advocating for quality in service development, and working with advanced data technologies such as Python and Apache Spark. Candidates should have experience in Agile development and a strong understanding of data platforms. The position offers opportunities for professional growth in an inclusive environment.

Benefits

Inclusive work environment
Support for professional growth
Diversity and inclusion commitment

Qualifications

  • Experience with Agile development using JIRA, Confluence.
  • Proficiency in Python, Spark, Scala, R, or Java in Data Science.
  • Knowledge of cloud services like AWS, GCP, or Azure.

Responsibilities

  • Document use-case based validation plans to prevent defects.
  • Develop automation tests for Core Data Platform services.
  • Serve as a quality advocate on Data Engineering teams.

Skills

Agile development
Python
Apache Spark
Data Warehouses
JIRA
SQL

Tools

Databricks
Snowflake
Google BigQuery

Job description

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QA Engineer II - Data Discovery and Test

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Client:

Live Nation (Music) UK Limited

Location:

United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

d8acf662555c

Job Views:

6

Posted:

01.08.2025

Expiry Date:

15.09.2025

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Job Description:

Job Summary:

Job Title: Data QA Engineer

Who are we?

Live Nation Entertainment is the world’s leading live entertainment and eCommerce company, comprising Ticketmaster.com, Live Nation Concerts, Front Line Management Group, and Live Nation Network. We are the global leader in event ticketing and one of the top five eCommerce sites, with over 26 million monthly visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists worldwide. Front Line Management Group manages over 250 artists. These entities power Live Nation Network, providing entertainment marketing solutions to over 800 advertisers, reaching 200 million consumers annually through live events and digital platforms.

Who are you?

Passionate, motivated, driven with an entrepreneurial spirit. Resourceful, innovative, forward-thinking, and committed. If this describes you, please read on!

THE TEAM

The Core Data Services team is central to Data and Analytics initiatives. We build a modern data platform to support enterprise data needs, empowering data engineers, scientists, analysts, product teams, and decision-makers to create value.

Our team includes Platform Engineering, Data Engineering, Data Enablement, and Operations. We focus on building a high-performance, modern enterprise Data Lake, supporting current data platforms, maximizing functionality, creating valuable data assets, optimizing costs, and ensuring usability of data delivery and services. Our success is measured by these outcomes. We are seeking a Data QA Engineer — You!

WHAT THIS ROLE WILL DO

  • Document use-case based validation plans and testing strategies to prevent defects
  • Develop automation tests for Core Data Platform services and tools using Python, Apache Spark, Delta Lake, AWS S3, etc.
  • Participate in building our internal testing framework
  • Influence service development towards quality-centric methodologies
  • Develop and maintain quality standards supporting SDLC for data pipelines from development to release
  • Analyze requirements to understand positive, negative, and edge test scenarios
  • Execute functional and regression tests; log issues in JIRA for service enhancements
  • Serve as a quality advocate on Data Engineering teams to ensure Test Driven Development processes are followed

TECHNICAL SKILLS/COMPETENCIES

  • Experience with Agile development using Jira, Confluence
  • Understanding of Data Lakes and Data Warehouses
  • Proficiency in Python, Spark, Scala, R, Java in Data Science
  • Visualization experience is a plus
  • Experience with ANSI SQL and Spark SQL
  • Knowledge of Databricks, Snowflake, Teradata, Oracle, Google BigQuery, Hadoop, and related stacks
  • Understanding of cloud services like AWS, GCP, or Azure
  • Knowledge of streaming (Kafka) and batch data sources
  • Understanding of various data formats (xml, json, yaml, parquet, avro, delta)
  • Experience with version control (Git) and CI/CD workflows

We are committed to diversity and inclusion. You will work in an inclusive environment, encouraged to bring your whole self to work. We support your professional and personal growth, and welcome applications regardless of gender identity, race, sexual orientation, religion, age, disability, or caring responsibilities.

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