At a Glance
- Tasks: Ensure data quality through validation and troubleshooting using SQL and modern data platforms.
- Company: Join a forward-thinking IT department focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with the chance to work across business and technology teams.
- Why this job: Be part of a team that values data integrity and drives impactful solutions.
- Qualifications: Strong SQL skills and familiarity with data quality concepts; quick learners welcome.
The predicted salary is between 40000 - 55000 £ per year.
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 employer: Arrow
As a Data QA Engineer at our company, you will thrive in a dynamic and collaborative work culture that values innovation and continuous improvement. We offer competitive benefits, including professional development opportunities to enhance your skills in data quality and Microsoft Azure services, all while working in a supportive environment that encourages growth and teamwork. Located in a vibrant area, our company provides a unique advantage with access to cutting-edge technology and a network of industry professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Data QA Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with data quality and Microsoft Azure. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your SQL skills! Prepare some examples of how you've used SQL for data validation or troubleshooting. Being able to discuss real-world applications will make you stand out during interviews.
✨Tip Number 3
Get familiar with loan lifecycle data. If you don’t have experience, do some quick research or take an online course. Showing that you’re proactive about learning can impress potential employers.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data QA Engineer
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your strong SQL skills in your application. We want to see how you can use SQL for data validation and troubleshooting, so don’t hold back on sharing specific examples of your experience!
Familiarity with Data Quality Concepts:If you've got experience with data quality concepts and tooling, let us know! Even if you're still learning, showing your understanding or willingness to ramp up quickly can really make you stand out.
Azure and Modern Data Platforms:Got any exposure to Microsoft Azure services or platforms like Synapse and Snowflake? Be sure to mention it! We love seeing candidates who are familiar with modern tech stacks.
Collaborative Spirit:We value collaboration across teams, so share any experiences where you’ve worked with both business and technology teams. It shows us you’re a resourceful, motivated self-starter who can thrive in our environment!
How to prepare for a job interview at Arrow
✨Know Your Data Quality Concepts
Make sure you brush up on data quality concepts and tooling before the interview. Being able to discuss how these concepts apply to real-world scenarios will show your understanding and readiness for the role.
✨Familiarise Yourself with Azure Services
Since familiarity with Microsoft Azure services is a plus, take some time to learn about Synapse and Snowflake. Even if you haven't worked with them directly, being able to speak about their functionalities and benefits can set you apart.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL skills during the interview. Practice writing queries for data validation and troubleshooting, as you may be asked to solve a problem on the spot or discuss past experiences where you used SQL effectively.
✨Understand the Loan Lifecycle
If you have experience with loan lifecycle data, be ready to discuss it. If not, do some quick research to understand servicing, arrears, recoveries, and asset resolution. Showing that you can ramp up quickly will impress the interviewers.
