Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and execute data tests to ensure data quality and integrity.
- Company: Join a leading digital transformation organization focused on impactful projects.
- Benefits: Competitive pay of up to £425 a day with potential for remote work.
- Why this job: Be a key player in delivering high-quality data that drives business decisions.
- Qualifications: Experience as a QA Data Engineer with skills in SQL and data testing tools.
- Other info: This is a 3-month contract role with opportunities for growth.
-
Data Testing & Validation: Design and execute data tests to validate the correctness, consistency, and integrity of data within the pipelines.
-
Automation: Develop and maintain automated tests for data quality, data transformations, and ETL processes.
-
Test Strategy & Documentation: Collaborate with data engineers, analysts, and other stakeholders to create comprehensive test plans and documentation to ensure data systems meet functional and business requirements.
-
Performance Testing: Monitor and test the performance of data processing workflows to ensure scalability and efficiency.
-
Data Quality Assurance: Identify and resolve data issues, inconsistencies, and anomalies. Proactively work on preventing data quality issues in the pipeline.
-
Collaboration: Work closely with data engineers, developers, and other team members to review data models, query results, and testing strategies.
-
Reporting & Metrics: Monitor data health and track quality metrics, report test results to key stakeholders, and suggest improvements.
-
Troubleshooting: Diagnose and troubleshoot data quality issues in data systems, including data ingestion, processing, and storage systems.
This highly regarded digital transformation organisation are looking for a skilled and detail-oriented Contract QA Data Engineer to join and help deliver a really important project. As a QA Data Engineer, you will be responsible for ensuring the accuracy, reliability, and integrity of our data pipelines and systems. You will play a key role in developing and executing test strategies, validating data processing workflows, and ensuring high-quality data that powers business decisions., * Experience: Proven experience working as a QA Data Engineer, QA Engineer, or in a similar role focusing on data testing, validation, and automation.
-
Testing Tools & Frameworks: Testing in Databricks, ADF on Azure Cloud environment with CI/CD and automated test experience.
-
Database Technologies: Proficiency in SQL and experience with various database systems (eg, PostgreSQL, MySQL, Oracle, or NoSQL databases).
-
Data Processing & ETL: Familiarity with data pipelines, ETL tools (eg, Talend, Informatica, or custom Python/SQL-based ETL), and data transformation processes.
-
Communication Skills: Excellent verbal and written communication skills with the ability to collaborate with cross-functional teams and present findings to non-technical stakeholders.
-
Problem-Solving: A proactive problem-solver with the ability to identify issues and recommend solutions.
This role is for 3 month’s initially and can pay up to £425 a day (Inside IR35)
Contract QA Data Engineer employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
+441612370042
StudySmarter Expert Advice 🤫
We think this is how you could land Contract QA Data Engineer
✨Tip Number 1
Familiarize yourself with the specific testing tools and frameworks mentioned in the job description, such as Databricks and ADF on Azure. Having hands-on experience or relevant projects to discuss can really set you apart during the interview.
✨Tip Number 2
Brush up on your SQL skills and be prepared to demonstrate your proficiency with various database systems. You might be asked to solve real-world data problems, so practice writing queries that validate data integrity and quality.
✨Tip Number 3
Showcase your collaboration skills by preparing examples of how you've worked with cross-functional teams in the past. Highlight any experiences where you successfully communicated technical findings to non-technical stakeholders.
✨Tip Number 4
Be ready to discuss your problem-solving approach. Think of specific instances where you identified data quality issues and the steps you took to resolve them. This will demonstrate your proactive mindset and ability to tackle challenges head-on.
We think you need these skills to ace Contract QA Data Engineer
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your proven experience as a QA Data Engineer or in similar roles. Detail your work with data testing, validation, and automation, especially in environments like Databricks and Azure.
Showcase Technical Skills: Clearly list your proficiency in SQL and any experience with various database systems such as PostgreSQL, MySQL, Oracle, or NoSQL databases. Mention your familiarity with ETL tools and data processing.
Demonstrate Communication Skills: Since the role requires collaboration with cross-functional teams, highlight your excellent verbal and written communication skills. Provide examples of how you've effectively presented findings to non-technical stakeholders.
Detail Problem-Solving Abilities: Illustrate your proactive problem-solving skills by sharing specific instances where you identified data issues and recommended effective solutions. This will show your capability to handle challenges in data quality assurance.
How to prepare for a job interview at InterQuest Group
✨Showcase Your Testing Experience
Be prepared to discuss your previous experience as a QA Data Engineer or in similar roles. Highlight specific projects where you designed and executed data tests, focusing on the tools and frameworks you used, such as Databricks and ADF.
✨Demonstrate Automation Skills
Since automation is key for this role, be ready to explain how you've developed and maintained automated tests for data quality and ETL processes. Share examples of how your automation efforts improved efficiency and accuracy.
✨Collaboration is Key
Emphasize your ability to work closely with data engineers, analysts, and other stakeholders. Prepare to discuss how you've collaborated on test strategies and documentation to ensure data systems meet business requirements.
✨Problem-Solving Mindset
Prepare to showcase your problem-solving skills by discussing specific instances where you identified and resolved data quality issues. Highlight your proactive approach to preventing data inconsistencies and anomalies in the pipeline.
