At a Glance
- Tasks: Ensure data quality across agile delivery, automate testing, and enhance data products.
- Company: Join a forward-thinking tech company in London with a hybrid work culture.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on continuous learning and career advancement.
- Why this job: Be part of an innovative team driving quality in data products and automation.
- Qualifications: Experience in Python, SQL, and data quality engineering; passion for automation is key.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, Watford or Bristol (Hybrid working options available)
We are looking for experienced Data Quality Engineers at all levels with strong Data and ETL pipeline testing. With Python and SQL skills to join our team. An understanding of Databricks and Azure ADF is also desirable. The successful candidate will form part of the Enterprise Data Platform team (NOVA) responsible for delivering on the product roadmap and enhancing automation practices.
As a part of a Nova team, you will be working at every stage of a product lifecycle from conception, design, data engineering, testing and through to implementation. With automation at the heart of everything CLUK are doing, you should have strong understanding of test automation techniques, CI/CD, and use of AI to expedite AI-Augmented Agile delivery at scale.
What You'll Do
- Responsible for ensuring quality is enforced across the agile delivery lifecycle.
- Ensuring full traceability for every delivery from Outcome through to user acceptance.
- Ensuring we deliver Data Products which are timely, trusted, and always available through strong Functional Data Testing, Integration testing of our data pipelines, as well as non-functional testing.
- Define the test approach for all business outcomes, working with the Product Owner to ensure the Acceptance criteria is met.
- Work with the BA and Solution Designers to capture the test scenarios for each epic within the delivery.
- Responsible for ensuring test cases captured and linked to user stories as part of the backlog refinements Definition of Ready.
- Design, implement, and maintain automated tests executed in CI/CD Pipelines and other data.
- Participate in technical discussions and provide recommendations for improvements.
- Providing training and guidance for Junior and less experienced team and quality practice members in CLUK.
Who You Are
- Passionate about Data and driving quality into our Data Products.
- Coding experience in Python and SQL, and development of test automation.
- Experience in Data quality engineering.
- Proven track record of driving quality focused on automation, building tools, and QA testing.
- Very hands-on in developing quality frameworks and test automation.
- Worked within a Scaled Agile delivery team, using Scrum and/or Kanban to deliver incremental business value through frequent data product releases.
- Willingness to learn and passionate about new innovations and techniques.
- Experience of defect management, triage, and understands how to take a risk assessment based approach.
- Strong analytical problem-solving skills and looking beyond what’s obvious.
- Must have worked in/applied Continuous Integration (CI) successfully.
- Excellent written and verbal communication skills.
- Working in a fast-paced environment.
Data Quality Engineer in London employer: Energy Jobline ZR
At CLUK, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working options in vibrant locations like London, Watford, and Bristol provide flexibility while our commitment to employee growth ensures that you will have ample opportunities to develop your skills in data quality engineering. Join us to be part of a forward-thinking team where your contributions directly impact the delivery of trusted data products, all within a supportive environment that values continuous learning and automation.
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We think you need these skills to ace Data Quality Engineer in London
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