QA Automation Engineer (Data)

Jobgether; Remote; GBP 22,000 - 24,000; Full time

Job summary

A technology recruiting service is looking for a QA Automation Engineer to ensure data quality across complex pipelines in the United Kingdom. This role involves designing and maintaining automated testing frameworks for ETL processes and validating data accuracy. Ideal candidates will have extensive experience in QA automation, a strong command of SQL, and proficiency in Python. This remote-first position includes competitive compensation and provides a collaborative environment with a focus on delivering reliable data for analytical purposes.

Benefits

Competitive annual compensation

Flexible working hours

Collaborative environment

Qualifications

• 6-10+ years of QA automation experience in data‑intensive or analytics‑focused environments.
• Strong proficiency in SQL for data validation, profiling, and regression testing.
• Hands‑on experience with Python for automation scripting.

Responsibilities

• Design, develop, and maintain automated test frameworks for ETL/ELT.
• Automate regression tests, schema validation, and data contract checks.
• Perform root‑cause analysis for data inconsistencies.

Skills

SQL

Python

Data Validation

Root-Cause Analysis

Problem-Solving

Troubleshooting

Tools

Snowflake

Databricks

AWS Glue

Airflow

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a QA Automation Engineer (Data) in United Kingdom.

This role offers an exciting opportunity to ensure data quality and reliability across complex, large-scale data pipelines in a fast-paced, analytics-driven environment. You will design, develop, and maintain automated testing frameworks for ETL/ELT workflows, validate data integrity, and implement monitoring for streaming and batch pipelines. Your contributions will directly impact the accuracy, consistency, and performance of mission-critical data systems. This position combines hands‑on automation, SQL‑based data validation, and collaboration with cross‑functional engineering teams to solve challenging data quality problems. It is ideal for someone passionate about building scalable testing solutions, driving best practices in QA, and working in a remote, flexible, and highly collaborative setting. You will help accelerate the delivery of trustworthy data for analytics and AI initiatives.

Accountabilities:

• Design, develop, and maintain automated test frameworks for ETL/ELT and streaming data workflows.
• Build reusable components for Snowflake, Databricks, ADF, Airflow, and other data platforms.
• Automate regression tests, schema validation, data contract checks, and monitoring of data quality.
• Validate data accuracy, completeness, and consistency across ingestion, transformation, and downstream layers.
• Perform root‑cause analysis for data inconsistencies and collaborate with engineers to implement corrective actions.
• Participate in Agile ceremonies, review requirements, estimate tasks, and verify deployment outcomes.
• Document QA best practices and create reusable testing assets to elevate overall data quality standards.

Requirements:

• 6–10+ years of QA automation experience in data‑intensive or analytics‑focused environments.
• Strong proficiency in SQL for data validation, profiling, and regression testing.
• Hands‑on experience with Python for automation scripting and data quality frameworks.
• Extensive experience testing ETL/ELT pipelines and cloud‑based data workflows.
• Familiarity with CI/CD pipelines, version control (Git), and automated execution environments.
• Strong analytical, problem‑solving, and troubleshooting skills.
• Excellent written and verbal communication skills.
• Experience with Snowflake and at least one test automation framework; knowledge of Databricks, ADF, AWS Glue, streaming platforms, or orchestration tools is a plus.

Benefits:

• Competitive annual compensation: $30,000 – $32,000 USD.
• Remote‑first role with flexible working hours and autonomy.
• Opportunity to design and implement scalable data QA frameworks.
• Exposure to modern cloud‑based analytics platforms and automation tools.
• Collaborative environment with globally distributed engineering teams.
• Contribution to mission‑critical data systems used for analytics and AI innovation.

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.