QA Engineer

Fospha is the marketing measurement platform for eCommerce brands. We have found product/market fit in the last two years and quickly become a market leader for measurement with numerous awards and rocket-ship growth to match. We are the only business of our type to be a certified partner of Meta, TikTok and Snap, and have worked with our customers - some of the best-known eCommerce brands in the world to drive massive growth and value. We are now expanding globally and are looking for excellent candidates to join the next phase of our journey.

The Role: As a QA Engineer specializing in Data and ML, you will be responsible for guaranteeing the integrity and accuracy of our product's most critical components. Your work will directly impact the effectiveness of our marketing solutions and the trust our clients place in our data. You will be a key contributor to two primary areas:

• Data Engineering QA: You will own the quality assurance of our data pipelines. While experience with dbt (data build tool) is a plus, it is not mandatory. We do, however, require a strong understanding of SQL to verify data consistency, accuracy, and ensure product outputs remain correct across different releases and new features. You will help us further refine our processes by developing and implementing even more comprehensive automated QA solutions for our data pipelines. During the initial setup and evolution phases, you will also perform thorough manual QA to identify and address any discrepancies, helping us to strengthen our quality assurance efforts. You will be a champion for data integrity, identifying and flagging any anomalies or regressions in our data outputs.
• ML Engineering QA: You will be responsible for rigorously testing the outputs of our machine learning models. This involves ensuring that model predictions and behaviours are accurate and align precisely with the expectations and research conducted by our Data Science team. You will help us enhance our existing testing frameworks for ML models, driving greater confidence in our predictive capabilities. You will also work to validate the performance and accuracy of our ML models against defined metrics and benchmarks.

Key Responsibilities:

• Design, develop, and execute comprehensive test plans and test cases for data pipelines and ML models.
• Implement and maintain automated testing frameworks for data and ML quality assurance, helping us advance our automation efforts.
• Perform thorough manual testing during initial development and complex feature releases, ensuring we maintain a high standard of quality.
• Collaborate closely with Data Engineers, Data Scientists, and Product Managers to gain a deep understanding of features under development, including technical implementation details, to inform effective testing strategies.
• Proactively identify, document, and track bugs and quality issues.
• Communicate and justify changes in data to wider audiences, including non-technical stakeholders, clearly and concisely.
• Contribute to the continuous improvement of our QA processes and methodologies, actively seeking ways to optimize our approach.
• Participate in code reviews and provide constructive feedback from a QA perspective.
• Advocate for quality throughout the software development lifecycle, helping us deepen our commitment to quality.

Skills & Experience:

• Essential: 2+ years of experience in Quality Assurance, with a strong focus on data-centric products. Strong proficiency in SQL is a must. Proficiency in Python is essential for test automation and data manipulation. Solid understanding of data warehousing concepts. Familiarity with machine learning concepts and methodologies. Strong analytical and problem-solving skills with a keen eye for detail. Excellent communication skills, both written and verbal, with the ability to explain complex technical concepts to diverse audiences. Ability to work collaboratively within cross-functional teams (Engineering, Product, Data Science). Proactive and self-motivated with a strong sense of ownership.
• Desirable: Experience in testing data pipelines built with dbt (data build tool). A good understanding of PostgreSQL or other relational databases. Familiarity with cloud platforms (e.g., AWS, GCP, Azure). Experience with version control systems (e.g., Git). Understanding of agile development methodologies. Previous experience in a marketing technology or ad-tech company.

Benefits & Perks (London):

• Be part of a leading global venture builder, Blenheim Chalcot and learn from the incredible talent in BC.
• Be exposed to the right mix of challenges and learning and development opportunities.
• Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc.
• 25 days of paid holiday + your birthday off! One day extra after 3 years.
• Free snacks in the office.
• Quarterly team socials.

Working location: The Fospha UK team is based at the Scale Space tech campus in West London - where you can partake in a full social calendar of community events & classes. While we take pride in offering flexibility-accommodating working hours and personal circumstances, our team members spend 4 days a week in the office to maximize opportunities for learning and collaboration.