Remote Data QA Engineer — Databricks & Pipelines

Harnham; Manchester; On-site; GBP 50,000 - 70,000; Full time

Job summary

Harnham in the United Kingdom is hiring a Data QA Engineer to strengthen a growing data function supporting a Lakehouse, Databricks programme and analytics products. You will focus on testing data platforms, pipelines and analytics outputs to ensure robust, production-ready data products.

Reporting into the data engineering team, you will own testing activities, define quality standards, and collaborate with Data and Analytics Engineers in a Databricks/PySpark environment.

Qualifications

• Experience testing data platforms, pipelines, and analytics products.
• Ability to operate independently with minimal supervision.
• Strong communication and stakeholder management skills.
• Familiarity with Databricks and PySpark environments is a plus.

Responsibilities

• Test the Data Platform and associated data products.
• Define and improve testing approaches, standards, and frameworks.
• Perform functional, integration, regression, and data validation testing.
• Collaborate with Data and Analytics Engineers to identify issues early in the development lifecycle.
• Log, manage, and track defects through to resolution.
• Drive continuous improvement across testing practices and tooling.
• Participate in development and collaboration activities within Databricks and PySpark environments.
• Help establish quality standards across the wider data team.

Skills

Databricks

PySpark

SQL

Python

Data testing

QA testing

Communication

Independent

Agile

Job description

Harnham in the United Kingdom is hiring a Data QA Engineer to strengthen a growing data function supporting a Lakehouse, Databricks programme and analytics products. You will focus on testing data platforms, pipelines and analytics outputs to ensure robust, production-ready data products.

Reporting into the data engineering team, you will own testing activities, define quality standards, and collaborate with Data and Analytics Engineers in a Databricks/PySpark environment.