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- Tasks: Join a dynamic team to ensure top-notch data quality and streamline testing processes.
- Company: Be part of a leading UK customer-centric business focused on data-driven decisions.
- Benefits: Enjoy 28 days holiday, private medical insurance, and a non-contributory pension scheme.
- Why this job: Make an impact by enhancing data reporting solutions in a collaborative environment.
- Qualifications: Expertise in SQL, ETL testing, and experience with Oracle/Postgres databases required.
- Other info: Hybrid work model with 3 days on-site in Edinburgh; sponsorship not available.
The predicted salary is between 44000 - 52000 £ per year.
We are looking for an experienced and driven Datawarehouse QA Engineer to work for a UK leading customer centric business. As part of a centralised data function, you will work closely with Data Engineers in a multi-disciplinary team. You will need to understand complex data flows and both business and technical requirements to develop ETL/ELT reconciliation scenarios and ensure all features are fully tested.
Primarily focusing on quality, you will support the team in sourcing, compiling, and developing reliable and consistent data reporting solutions that enable strategic, insight-driven decision-making. Additionally, you will explore opportunities to streamline or further enhance the team's existing SQL/ETL test automation processes where applicable.
You will ensure that quality engineering principles are highlighted, discussed, and implemented from early design stages through to final production release. This will include reviewing acceptance criteria to determine relevant test scenarios; executing tests and collaborating with business users to ensure sign-off. You will also be responsible for the creation and maintenance of SQL based testing.
What you will bring:
- Expert level testing experience with Oracle and Postgres databases and Datawarehouses.
- Experience of ETL / MI data testing.
- Advanced / Expert level SQL skills to reconcile source/target data and to validate business rules / requirements.
- Proficient with using querying tools such as SQL Developer, Snowflake, PostgreSQL/DBeaver.
- Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports.
- Hands on and technical understanding of complex Data Warehousing, including Data Warehouse design; Star schema and dimensional modelling.
- Proficient with using OAS (or similar reporting tools) and validating subject areas and reports.
- Experience of working with and using ETL tools such as ODI.
- Understanding of data replication tools such as GoldenGate and DMS.
- Python scripting knowledge would be desirable.
- Experience of implementing CI/CD process would be an advantage.
- Experience of adding automation to Datawarehouse testing projects.
- You’ll be highly organised with the ability to own and manage testing activities and deliverables within allocated projects.
- You’ll be a team player.
- Have excellent communication and interpersonal skills, with the ability to build relationships with all levels across the business.
On top of the salary, you will receive a number of fantastic benefits which include: 28 days holiday, PMI, a non-contributory pension scheme, training and development and a discretionary performance related bonus.
Candidates must hold a British, EU Passport or Indefinite Leave to Remain. Unfortunately sponsorship cannot be offered for this role.
Please apply now for more information.
QA Engineer (Datawarehousing) employer: InterQuest Group
Contact Detail:
InterQuest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land QA Engineer (Datawarehousing)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Oracle, Postgres, and ETL tools like ODI. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your SQL skills, especially in relation to data reconciliation and validation of business rules. Being able to demonstrate your expertise in SQL during technical discussions will show that you're well-prepared for the role.
✨Tip Number 3
Prepare to discuss your experience with CI/CD processes and automation in data warehouse testing. Highlighting any past projects where you've implemented these practices can showcase your proactive approach to quality engineering.
✨Tip Number 4
Since this role involves collaboration with various teams, think of examples from your past work where you've successfully built relationships and communicated effectively. Being a team player is crucial, so be ready to share how you've contributed to team success.
We think you need these skills to ace QA Engineer (Datawarehousing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Oracle and Postgres databases, as well as your advanced SQL skills. Include specific examples of your work with ETL/MI data testing and any relevant projects that demonstrate your expertise in Data Warehousing.
Craft a Strong Cover Letter: In your cover letter, express your passion for quality engineering and how your skills align with the role. Mention your experience in developing ETL/ELT reconciliation scenarios and your ability to collaborate with multi-disciplinary teams.
Showcase Relevant Skills: Highlight your hands-on experience with data warehousing concepts, such as Star schema and dimensional modelling. If you have experience with CI/CD processes or automation in Data Warehouse testing, be sure to mention it.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any errors. Ensure that all information is clear and concise, and that it effectively showcases your qualifications for the QA Engineer position.
How to prepare for a job interview at InterQuest Group
✨Showcase Your SQL Skills
Be prepared to demonstrate your advanced SQL skills during the interview. You might be asked to solve problems or write queries on the spot, so brush up on your knowledge of Oracle and Postgres databases, as well as any relevant ETL processes.
✨Understand Data Warehousing Concepts
Make sure you have a solid grasp of data warehousing principles, including star schema and dimensional modelling. Be ready to discuss how these concepts apply to your previous work and how they can enhance the team's testing processes.
✨Prepare for Technical Questions
Expect technical questions related to ETL tools and data replication methods. Familiarise yourself with tools like ODI and GoldenGate, and be ready to explain how you've used them in past projects to improve data quality and reporting.
✨Demonstrate Team Collaboration
Since this role involves working closely with Data Engineers and business users, highlight your teamwork and communication skills. Share examples of how you've successfully collaborated in multi-disciplinary teams to achieve project goals.
