At a Glance
- Tasks: Ensure data quality through testing and validation in a dynamic tech environment.
- Company: Global recruitment specialist with a focus on innovative solutions.
- Benefits: Competitive pay, flexible work setup, and opportunities for skill development.
- Other info: Work in Glasgow with potential for career growth and exciting projects.
- Why this job: Join a forward-thinking team and enhance your skills in data testing and automation.
- Qualifications: Experience in ETL, SQL, and data testing; automation skills are a plus.
The predicted salary is between 66000 - 66000 £ per year.
Overview
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Location
Location
- Glasgow
- Duration
Duration
- 31/12/2026
- Work setup
Work setup
- 2-3 days onsite/week
- Pay Rate
Pay Rate
£331 per day all inc. (PAYE through Umbrella)
Responsibilities
- The role requires strong expertise in ETL concepts and hands-on experience in data testing, with the ability to work as an individual contributor.
- Mandatory Skillset
- ETL/Data Testing
- Data validation and reconciliation
- SQL and database testing
- Data warehousing concepts
- Automation testing experience as an added skill
- Highly Valued Skills
- Experience working with Databricks Notebooks for exploratory testing and validation
- Familiarity with Databricks platform and workflows
- Knowledge of data pipeline validation and ETL testing
- Experience in Cloud testing, with preference for AWS
- Proficiency in Spark SQL for validating data across distributed systems (not traditional RDBMS SQL)
- Experience with CI/CD pipelines and test automation integration
- Understanding of data quality frameworks and validation techniques
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible.
Please note, candidates are often shortlisted within 48 hours.
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Quality Assurance Engineer in Glasgow employer: eTeam
As a Global Recruitment specialist, we pride ourselves on fostering a collaborative and innovative work culture in Manchester, where our Service Designers can thrive. With a focus on employee growth, we offer opportunities for professional development and the chance to work on impactful projects across diverse regions. Our commitment to work-life balance, with a flexible onsite schedule, ensures that our team members can excel both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Quality Assurance Engineer in Glasgow
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Quality Assurance Engineer in Glasgow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at eTeam. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at eTeam
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
