At a Glance
- Tasks: Develop and execute test strategies for data pipelines and products.
- Company: Join Arrow Global Group, a leader in data solutions.
- Benefits: Competitive salary, full-time role, and opportunities for growth.
- Other info: Collaborative environment with a focus on continuous improvement.
- Why this job: Be part of a dynamic team ensuring data quality and reliability.
- Qualifications: Degree in relevant field and experience in QA/testing for data applications.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for a highly skilled, experienced QA Engineer to play a foundational role in a newly formed Data-focused team. This position demands a quality-first mindset, strong test engineering capabilities, and proven experience validating data-intensive, cloud-native solutions. In this role, you'll partner closely with Data Engineers, Data Stewards, and business stakeholders to ensure data products and pipelines are reliable, accurate, and fit for purpose while proactively identifying opportunities for continuous improvement.
Key Responsibilities
- Develop, maintain, and execute comprehensive test strategies, test plans, and test cases for data pipelines, datasets, and related data products.
- Proactively identify quality risks, testing gaps, and areas for improved QA coverage.
- Identify, document, and track defects in Azure DevOps.
- Partner closely with Data Engineers to drive timely defect fixes and verify remediation.
- Collaborate with cross-functional stakeholders to strengthen quality processes, documentation, and overall release readiness.
- Provide input into long-term QA strategy and continuous improvement initiatives.
- Perform other duties as assigned.
About You
- Degree in Computer Science, Software Engineering, Information Systems, or a related field is preferable.
- Proven QA/testing experience with data-intensive applications, ideally within cloud-native environments.
- Strong command of testing methodologies (functional, regression, integration, performance) and defect lifecycle management.
- Hands-on experience with test automation (e.g., Python or similar) and writing SQL queries for data validation and reconciliation.
- Experience testing data warehouses/lakes and pipelines; familiarity with data quality concepts and tooling is a plus.
- Exposure to Microsoft Azure services and modern data platforms (e.g., Synapse, Snowflake).
- Strong SQL skills for data validation, reconciliation, and troubleshooting.
- Understanding of loan lifecycle data (servicing, arrears, recoveries, asset resolution) or the ability to ramp up quickly.
- Resourceful, motivated self-starter with the ability to collaborate across business and technology teams.
Data QA Engineer in Manchester employer: Arrow Global
Arrow Global is an excellent employer, offering a dynamic work environment in Manchester where legal professionals can thrive. With a strong focus on employee growth and development, the company fosters a collaborative culture that encourages innovation and teamwork, making it an ideal place for those looking to make a meaningful impact in real estate finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data QA Engineer in Manchester
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data QA Engineer in Manchester
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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Craft a Tailored Cover Letter:For a full-time role at Arrow Global, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Arrow Global. 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 Arrow Global
✨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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Arrow Global!
✨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.
