At a Glance
- Tasks: Ensure data quality across agile delivery, automate testing, and enhance data products.
- Company: Join Canada Life UK, a diverse and inclusive employer committed to building better futures.
- Benefits: Enjoy competitive salary, generous pension, private medical insurance, and personal development opportunities.
- Other info: Flexible working arrangements available to support work-life balance.
- Why this job: Be part of a transformative team driving innovation in data quality and automation.
- Qualifications: Experience in Python, SQL, and data quality engineering; passion for automation and problem-solving.
The predicted salary is between 40000 - 50000 £ per year.
This job is with Canada Life UK, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation. Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues. Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.
Job Summary
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 expediate 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.
Benefits of working at Canada Life
We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that's regularly reviewed. As a Canada Life UK colleague, you'll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development.
How we work at Canada Life
Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That's why we offer a range of training, flexible working and opportunities to grow and develop.
Diversity and inclusion
Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we're making in DEI, and we continue for it to be a significant focus.
We appreciate that everyone has different work and life responsibilities. We're happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you.
Data Quality Engineer employer: Canada Life UK
Canada Life UK is an exceptional employer that prioritises inclusivity and employee development, making it a fantastic place for Data Quality Engineers to thrive. With a strong commitment to diversity, a competitive salary and benefits package, and a culture that encourages curiosity and collaboration, employees are empowered to grow their careers while contributing to meaningful projects that help build better futures for customers and communities. The company's focus on automation and innovation, combined with flexible working arrangements, ensures a dynamic and supportive work environment in the heart of the UK.
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We think this is how you could land Data Quality Engineer
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We think you need these skills to ace Data Quality Engineer
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
