At a Glance
- Tasks: Lead quality assurance for a large data transformation programme on AWS platforms.
- Company: Join a forward-thinking tech company committed to diversity and inclusion.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Be part of a diverse team that values equity and personal growth.
- Why this job: Make a real impact in a dynamic environment while leading innovative testing strategies.
- Qualifications: 15+ years in testing and quality engineering with strong technical expertise.
The predicted salary is between 80000 - 100000 € per year.
We are seeking an experienced Test Director / Quality Engineering Director with a deep technical background to join the Programme Leadership Team of a large, complex, multi‑supplier data transformation programme. This role requires a technologist first and foremost, providing authoritative technical oversight and independent assurance of data solutions delivered on AWS ‑based platforms from someone who has progressed into senior leadership but retains strong hands‑on understanding and credibility across data engineering, cloud platforms and modern data architectures.
Operating at Director level, the role will guide and monitor quality, engineering standards, governance and ways of working across multiple delivery partners, while engaging confidently with senior client stakeholders. The successful candidate will bring substantial experience leading technical testing at scale, with the ability to deep‑dive into architecture, data pipelines and automation when required, while also operating effectively at programme and executive level. The QAE Lead is accountable for end‑to‑end quality assurance and testing strategy, ensuring that data solutions delivered on AWS ‑based data platforms meet business, regulatory and operational expectations.
What you’ll be doing:
- Programme ‑Level Accountability & Leadership
- Sit as a full member of the Programme Leadership Team, accountable for quality outcomes across the delivery.
- Act as the single point of accountability for all testing and quality engineering activity.
- Provide clear, evidence‑based recommendations on go ‑live readiness, data integrity and operational risk.
- Lead, coach and motivate a team of Test Leads and SDETs.
- Serve as the primary point of contact for the client and third ‑parties on all testing matters.
- Coordinate testing across multiple suppliers, ensuring consistency in standards, tooling and reporting.
- Challenge delivery partners constructively on test coverage, defect quality, dependencies and risk exposure.
- Communicate complex technical test outcomes in clear business terms to senior stakeholders.
- Define, own and maintain the Test Strategy, aligned to a Data Factory testing model.
- Author and assure Programme ‑level Master Test Plans and Test Phase / Test Level Plans.
- Establish and govern the end ‑to ‑end test operating model, including vendor integration, dependencies and hand‑offs.
- Define quality gates, entry/exit criteria, test coverage expectations and acceptance thresholds.
- Governance, Reporting & Assurance
- Establish and run testing governance forums, cadences and escalation paths.
- Implement and maintain quality policies, controls and assurance mechanisms, including Test Exit Reports.
- Monitor, track and report progress across multiple teams using clear, executive ‑level dashboards and metrics.
- Ensure testing artefacts and outcomes are auditable and support internal/external quality and audit reviews.
- Technical Quality & Data Testing Oversight
- Maintain deep understanding of the AWS infrastructure, data platforms and data products/pipelines under test.
- Oversee and assure testing across multiple test levels.
- Lead SDET teams testing bulk and delta data loads, reconciliation and data quality outcomes.
- Provide assurance over ETL / ELT pipelines testing, data migrations and platform repointing activities.
- Engineering, Automation & Innovation
- Lead core programme SDETs responsible for testing AI ‑enabled and automated data pipelines.
- Promote pragmatic use of automation solutions and AI to improve coverage, quality and efficiency at scale.
- Oversee testing of AWS ‑based Lakehouse architectures, including: AWS Glue, Apache Iceberg, AI ETL accelerators, Neo4j, Python / PySpark, SQL and YAML‑driven configurations.
What experience you’ll bring:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Extensive experience (typically 15+ years) in testing, quality engineering or data delivery roles, with a strong technical background.
- BPSS minimum, SC not mandated but strong likelihood to be required.
- Proven Director level experience leading testing and quality engineering on large, complex data-centric programmes.
- Excellent stakeholder management skills, with the ability to influence at Programme Board level and to convey complex technical concepts to both technical and non-technical stakeholders.
- Experience managing large SDET and QA teams, including test data and environment management.
- Demonstrated experience producing Programme-level Test Strategies and Master Test Plans for functional and non-functional testing in a data environment with a strong focus on data quality and integrity.
- Strong understanding of data engineering concepts, including data pipelines, data migration, data architecture and related testing methodologies.
- Experience leading teams responsible for designing, building and maintaining automated data testing frameworks, leveraging scripting and orchestration where appropriate.
- Strong problem‑solving skills and ability to think critically.
- Proven experience delivering direction, guidance and hands‑on input into test data testing using scalable robust automation frameworks.
- Experience managing test coverage, defect management and quality metrics, ensuring results are measurable, traceable and auditable with common tooling such as JIRA, Azure DevOps, XRAY (or equivalent).
Preferred Skills and Qualifications:
- Experience of data feeds architectures and best practices using AWS cloud services delivering Data Warehouse to Data Lakehouse migrations.
- Relevant AWS certifications (e.g. AWS Certified Data Engineer – Associate/Professional).
- Strong knowledge of AWS cloud services and data architectures.
- Experience with leveraging AI accelerators in data processing or testing.
- Hands on or oversight experience with API testing, Python/PySpark scripting, Oracle, SQL and YAML.
- Knowledge of Non-Functional Testing (Performance, security, isolation, scalability).
- Knowledge of CI/CD pipelines, including GITHUB Actions (or similar).
What we’ll offer you:
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensures that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Qaulity Engineering Lead in London employer: NTT DATA Europe & Latam
At NTT DATA UK & Ireland, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored learning and development opportunities, alongside flexible work options that promote a healthy work-life balance. Join us in a diverse and inclusive environment where your contributions are valued, and you can make a meaningful impact on large-scale data transformation projects.
Contact Detail:
NTT DATA Europe & Latam Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Qaulity Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their projects, especially those related to AWS and data engineering. This will help you tailor your responses and show that you're genuinely interested in the role.
✨Tip Number 3
Practice your technical skills! Brush up on your knowledge of data pipelines, automation, and testing frameworks. Being able to discuss these topics confidently will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Qaulity Engineering Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Quality Engineering Lead. Highlight your experience in testing, quality engineering, and data delivery, especially in AWS environments. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your leadership in testing and quality assurance, and how you've tackled complex data-centric programmes.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Mention your hands-on experience with data pipelines, automation, and AWS services. We love seeing candidates who can dive deep into technical details while also communicating effectively with stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NTT DATA Europe & Latam
✨Know Your Tech Inside Out
As a Quality Engineering Lead, you need to demonstrate a strong technical background. Brush up on AWS platforms, data pipelines, and modern data architectures. Be ready to discuss specific technologies you've worked with and how they relate to the role.
✨Prepare for Stakeholder Engagement
This role involves communicating complex technical concepts to both technical and non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on outcomes and how you managed stakeholder expectations.
✨Showcase Your Leadership Skills
You'll be leading teams of Test Leads and SDETs, so be prepared to share examples of how you've motivated and guided teams in the past. Highlight your experience in establishing testing governance and ensuring quality standards across multiple suppliers.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your critical thinking and problem-solving skills. Prepare scenarios where you've tackled challenges in testing or quality assurance, particularly in large, complex programmes. Use the STAR method (Situation, Task, Action, Result) to structure your responses.