Senior Data Quality Engineer

Salary: £44,000 - 76,000 per year

Requirements:

• Experience driving advanced software testing techniques using modern automation approaches in data engineering projects, ensuring robust data quality
• Hands-on experience developing BDD-based automation frameworks for data, ETL, and event-driven applications using Python, Java, or Typescript
• Ability to solve complex automation use cases for new data products built on data mesh, lakehouse, and streaming architecture
• Working experience with modern data and event-driven technologies, including testing and automation tools such as PyTest, Cucumber, Behave, DBT, Great Expectations, GCP DVT, Monte Carlo, Soda, Deequ, and RestAssured
• Working experience with data engineering and orchestration technologies such as BigQuery, Spanner, Apache Kafka, Airflow, Spark, Cloud Composer, DAGs, Apache Beam, Pub/Sub, Dataflow, DataStage, Teradata, Snowflake, ETL, and SQL
• Working experience with data governance and visualisation tools such as Looker, Ataccama, Dataplex, Collibra, and Power BI
• Exposure to AI and analytics tools and frameworks such as TensorFlow, PyTorch, Scikit-learn, OpenCV, LangChain, and GenAI tools
• Experience designing and executing complex automation testing strategies and frameworks for functional and non-functional requirements of data and AI platforms
• Ability to create or accurately request complex test data, taking into account referential integrity, data quality, and governance
• Experience incorporating automated tests into CI/CD pipelines and DevOps tooling such as Jenkins, Harness, Terraform, and Dynatrace
• Strong programming proficiency in Python, Java, or JavaScript, with Python preferred
• Experience with Agile tools such as Jira, Confluence, and Xray
• Experience with source code management tools such as Git and GitHub

Responsibilities:

• Build automation frameworks and support other engineers in establishing and running quality gates using the test pyramid and other modern test automation practices
• Be involved in the design, development, and maintenance of software applications from a test automation perspective
• Help ensure successful product delivery
• Operate at feature team level as a full-stack individual contributor Senior QE/SDET
• Lead the feature team from a test automation perspective
• Focus on modern data technologies built on GCP and event-driven architecture

Technologies:

• AI
• Airflow
• BigQuery
• CI/CD
• Cloud
• Composer
• Confluence
• Cucumber
• DevOps
• Dynatrace
• ETL
• GCP
• Git
• Support
• JIRA
• Java
• JavaScript
• Jenkins
• Kafka
• Looker
• Power BI
• PyTorch
• Python
• SQL
• Snowflake
• Spark
• TensorFlow
• Terraform
• TypeScript
• dbt
• opencv
• pytest
• GitHub

More:

We are Lloyds Banking Group, and our Growth, Data & Analytics Platform (GDA), part of the Consumer Relationships Business Unit, plays a pivotal role in delivering our personalisation strategy by making customer interactions more relevant while unlocking the full potential of cloud technology. As our platform undergoes a major transformation, this is a unique opportunity to join us as a Senior Data Quality Engineer in Bristol, working full time in a hybrid pattern with at least two days per week, or 40% of your time, in our Bristol office. We offer flexible working options, including hybrid working and job share, and a wide-ranging benefits package that includes a generous pension contribution of up to 15%, an annual performance-related bonus, share schemes including free shares, adaptable lifestyle benefits such as discounted shopping, 30 days holiday plus bank holidays, wellbeing initiatives, and generous parental leave policies. We are committed to diversity, equity and inclusion, reasonable workplace adjustments, and an inclusive environment where our colleagues can learn, develop, and make a real difference.

last updated 36 week of 2026