At a Glance
- Tasks: Author and maintain test plans, investigate failures, and collaborate with data engineers.
- Company: Join Sagacity, a leader in client data platforms and innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment in London with excellent career advancement opportunities.
- Why this job: Make an impact in data quality and work with cutting-edge technologies.
- Qualifications: Strong SQL skills and experience with Databricks and data testing.
The predicted salary is between 54000 - 66000 £ per year.
Описание
Sagacity provides a client data platform based on Databricks Lakehouse pipelines, gold-layer views, and analytics datasets supporting marketing, billing, credit, and debt outcomes across multiple industries.
- Задачи
- Author, run, and maintain test plans across client deployment phases using SPHERE's YAML-driven test framework;
- Investigate test failures through the Databricks Lakehouse stack, identify root causes, and provide evidenced findings;
- Manage QA work items in Click Up throughout the delivery lifecycle;
- Collaborate with Data Engineers to agree expected behaviours, review data contracts, and validate fixes;
- Coordinate with UAT stakeholders on acceptance criteria and QA findings;
- Provide client-facing QA assurance in delivery meetings;
- Identify gaps and improvements in SPHERE and raise change and feature requests;
- Contribute to the platform codebase where appropriate;
- Keep QA coverage current as new views and data sources are onboarded;
- Engage with AI agents for test authoring, investigation, result analysis, and documentation.
- Требования
- Strong SQL skills, including window functions, CTEs, and aggregations;
- Hands-on experience with Databricks, Unity Catalog, and Spark job outputs;
- Working knowledge of Py Spark or Spark SQL;
- Understanding of Lakehouse and medallion architecture;
- Familiarity with YAML-based configuration and structured test definitions;
- Comfortable with Git and basic engineering practices;
- Experience with AI-assisted workflows and large language model agents;
- 3-5+ Years of experience in data quality, data testing, analytics engineering, or data engineering with a strong quality focus;
- Experience investigating data issues in complex, multi-source environments;
- Experience with structured test frameworks, data observability tooling, or formal QA methodology in a data context;
- Experience working directly with development teams in agile or iterative delivery environments;
- Client-facing or stakeholder-facing experience presenting technical findings to non-technical audiences.
- Условия
London, England, United Kingdom.
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qa engineer (manual) in data infrastructure in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
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We think you need these skills to ace qa engineer (manual) in data infrastructure in London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
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How to prepare for a job interview at Enfint
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Enfint uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
