Data & Analytics Data Quality Engineer

We use innovation to shape data, so it works for everyone and as part of this we collate, enhance and improve data assets and develop new ones, as well as transform how we work with the business to use our data better.

As part of a product team focusing on customer data, you will be working 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 data 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 regression packs.

• An expert in testing Snowflake and Oracle databases and data warehouses/Lakehouse’s.
• Hands on experience of delivering fully reconciled data tables, Facts and Dimensions and accurate end user reports.
• Strong technical understanding of Data Warehousing concepts and terminology, including star schema and dimensional modelling.
• Excellent analytical skills and a technical aptitude
• Ability to challenge and provide input in system architecture and design decisions.
• Good interpersonal skills in dealing with staff of varying abilities and technical proficiencies.
• You will be a highly organised individual with the ability to manage multiple test activities simultaneously and an aptitude to pick up challenging development and test items.
• Strong experience of agile/scrum techniques and ceremonies
• Capable of owning all testing related disciplines and deliverables within allocated projects
• Self‑starter with initiative and enthusiasm
• Experience of ETL / MI data testing
• Advanced to Expert level SQL skills to reconcile source/target data and to validate business rules / requirements.
• Proficient in using Snowflake for data lake testing
• Skilled in using tools such as SQL Developer and Postgre
  
  SQL/DBeaver
• Experience of working with and using ETL tools such as ODI
• Proficient with reporting tools such as Power BI and OAS
• Familiarity with AWS services such as Sage Maker, Lambda, Step Functions, S3 is highly desirable.
• Python scripting knowledge would be desirable.
• Experience of implementing CI/CD process would be an advantage.
• Experience of adding automation to Data warehouse testing projects.

The Data & Analytics Team within MO provides tools and methods for the wider business to garner insights and analysis from our Data Warehouse and Data Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. The team consists of both product and project‑based groups, working on various MI reporting requirements across multiple strategic business units.

Our Data & Analytics technology stack consists primarily of:
Oracle tools, Snowflake, Postgres and various AWS Services in the AWS Cloud.

Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry‑free mobility solutions to over 890,000 customers and their families across the UK. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10.

• Competitive reward package including an annual discretionary bonus
• 28 days annual leave with option to purchase and sell days
• Free fresh fruit and snacks in the office
• 1 day for volunteering
• Funded Private Medical Insurance cover
• Electric/Hybrid Car Salary Sacrifice Scheme and…