The Role:
Data Engineering QA
dbt (data build tool) SQL further refine our processes strengthen our quality assurance efforts
ML Engineering QA
enhance our existing testing frameworks
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 usadvance our automation efforts.
- Perform thorough manual testing during initial development and complex feature releases, ensuring wemaintain 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 tooptimize our approach.
- Participate in code reviews and provide constructive feedback from a QA perspective.
- Advocate for quality throughout the software development lifecycle, helping usdeepen 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 essentialfor 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 withdbt (data build tool).
- A good understanding ofPostgreSQLor 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 Chalcotand 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.