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Telefónica Tech (EN) • London, England, United Kingdom
Role & seniority: QA Engineer (contract, mid-level to senior, data quality focus)
Languages: Python, Java
Testing: PyTest, Behave, unittest; TDD/BDD
Data/ETL: data pipelines, schema validation, data quality frameworks
Cloud: AWS (S3, Glue, Lambda, EventBridge, Step Functions)
CI/CD and DevOps integration
APIs and data workflows; synthetic data generation
Design and implement automated data quality frameworks for data pipelines
Develop and execute data tests ensuring consistency, accuracy, completeness, and timeliness
Build automated test scripts for functional/integration/regression testing of AWS-based pipelines and APIs; create synthetic datasets; perform source-to-target reconciliation and schema validation
Strong QA experience across data pipelines, APIs, and ETL workflows
Degree in CS/Software Engineering or related field
Practical experience with Python/Java and testing frameworks (PyTest, Behave, unittest)
Expertise in data validation, schema checks, and data integrity testing
AWS experience (S3, Glue, Lambda, EventBridge, Step Functions)
CI/CD knowledge; ability to embed automated tests in DevOps workflows
Excellent analytical skills, attention to detail, and Agile/stakeholder collaboration
Financial compliance/security testing (MiFID II, GDPR)
Data governance/regulatory framework knowledge
Performance testing for
Company Description At Telefónica Tech (part of the Telefónica Group) we believe in building a better world through secure digital enablement, focusing on empowering organisations through every stage of their digital journey, and solving their most complex business challenges with our comprehensive suite of technology solutions across Data & AI, Cyber Security, Cloud, Business Applications, and Modern Workplace. Job Description 3–6 Month Contract | Inside IR35 | London (Hybrid) Telefónica Tech is seeking an experienced QA Engineer with a strong background in data quality and test automation to support a high-profile programme for our Customer. This role focuses on assuring complex data pipelines and cloud-based platforms, ensuring accuracy, reliability, and regulatory compliance across end-to-end data workflows. You will work closely with data engineers, developers, and business analysts to embed quality at every stage of delivery, designing robust automated frameworks and driving best practice in data assurance. Key Responsibilities Design and implement automated data quality frameworks across data pipelines. Develop and execute data tests to ensure consistency, accuracy, completeness, and timeliness. Build automated test scripts for functional, integration, and regression testing of AWS-based pipelines and APIs. Create and manage synthetic datasets to validate ingestion and transformation logic. Implement source-to-target reconciliation and schema validation. Document test cases, validation rules, and QA processes. Support root-cause analysis and remediation of production data issues. Collaborate with engineers and analysts to identify defects early and clarify requirements. Monitor and report on test coverage, defects, and quality KPIs. Validate security, privacy, and regulatory controls (encryption, access, retention). Continuously improve QA approaches using emerging tools and best practice. Qualifications Essential Experience Strong QA experience across data pipelines, APIs, and ETL workflows (financial services preferred). Degree in Computer Science, Software Engineering, or related field. Proven delivery of test strategies for complex data workflows. Solid understanding of TDD/BDD and modern testing methodologies. Hands-on experience with Python/Java and frameworks such as PyTest, Behave, unittest. Expertise in data validation, schema checks, and integrity testing. Experience with AWS (S3, Glue, Lambda, EventBridge, Step Functions). Strong knowledge of CI/CD and embedding automated tests in DevOps pipelines. Excellent analytical skills and attention to detail. Strong stakeholder communication and Agile delivery experience. Desirable Financial compliance and security testing (e.g., MiFID II, GDPR). Knowledge of data governance and regulatory frameworks. Performance testing for large-scale data platforms. QA, automation, or cloud certifications. Exposure to Athena, Snowflake, or similar data warehouses. Understanding of financial markets and trading platforms. This is an excellent opportunity for a contract QA Engineer who thrives in data-intensive, regulated environments and wants to make a tangible impact on quality and delivery. Additional Information Ready to Make an Impact? Join us in shaping the future of digital transformation at Telefónica Tech UK&I. Be part of a team that values your expertise, supports your growth, and fosters a positive work environment. Apply now to embark on a rewarding journey!
We encourage applications from a wide range of individuals, irrespective of: age, disability, gender, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or beliefs and sexual orientation. We look forward to hearing from you! At Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger.
Be yourself with us, and feel that you belong. We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation.
We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability. We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.
Department: Flex
Employment Hours: Full time