At a Glance
- Tasks: Join our team to build and validate data migration pipelines in cloud environments.
- Company: Dynamic tech company focused on data and AI with a commitment to diversity.
- Benefits: Flexible work options, continuous learning opportunities, and a supportive environment.
- Other info: Inclusive workplace with a focus on equity and support for individuals with disabilities.
- Why this job: Make an impact by transforming data for modern cloud platforms using cutting-edge technologies.
- Qualifications: Experience in data engineering, strong analytical skills, and a passion for cloud technologies.
The predicted salary is between 50000 - 65000 € per year.
We are seeking a detail-oriented and capable Data Migration Engineer to join our Data & AI practice. The successful candidate will bring solid experience in data migration, ETL/ELT pipeline development, and cloud-based data platforms, with a focus on AWS Data Lakehouse environments. This role is key to supporting the design, build, and validation of data migration pipelines, enabling the successful transition of data from legacy systems to modern cloud platforms. You will contribute to ensuring data quality, integrity, and performance, particularly through structured testing and validation activities.
You will work closely with architects, senior engineers, and analysts to deliver scalable and reliable migration solutions, using technologies such as AWS Glue, Apache Iceberg, Python/PySpark, SQL, and YAML configurations. You should be comfortable working in a collaborative, delivery-focused environment and have a strong interest in data migration, cloud technologies, and modern data engineering practices.
What you’ll be doing:
- Client Engagement & Delivery
- Support delivery within data migration programmes, contributing to key workstreams
- Collaborate with architects, engineers, and stakeholders to implement migration solutions
- Assist in planning and executing data migration tasks and deliverables
- Data Migration Engineering
- Build and maintain data migration pipelines from legacy data warehouses to AWS-based platforms
- Develop ETL/ELT pipelines using AWS Glue, Python/PySpark, SQL, YAML configurations
- Support execution of bulk data migrations and incremental/delta loads
- Assist with pipeline repointing and migration to cloud environments
- Data Pipeline Testing & Validation (Core Focus)
- Test ETL/ELT data pipelines on AWS services, including AWS Glue and Apache Iceberg
- Support validation of data pipeline migrations to AWS Data Lakehouse architectures
- Test pipelines using Python/PySpark transformations, SQL-based validation logic, YAML-driven configurations
- Execute and validate initial bulk data loads, incremental/delta data processing
- Write and run SQL queries to validate data completeness, data accuracy, transformation outputs
- Support development of test scripts and validation checks
- AWS Data Platforms & Lakehouse
- Work with AWS services including AWS Glue, S3-based data lakes
- Support implementation of Data Lakehouse architectures, including Apache Iceberg
- Contribute to improving pipeline performance and reliability
- Data Transformation & Support
- Apply transformation logic based on defined data mapping rules
- Support preparation of data for target-state models
- Assist in ensuring consistency between source and target datasets
- Collaboration & Best Practices
- Work collaboratively with Solution Architects, Data Engineers, Data Migration Architects, Analysts and QA teams
- Follow established engineering standards and best practices
- Contribute to documentation and reusable components
- Quality, Governance & Security
- Support maintenance of data quality and integrity during migration
- Follow secure data handling practices
- Assist with compliance requirements including GDPR, Public sector data standards (where applicable)
- Contribute to testing, validation, and audit activities
What experience you'll bring:
- Experience in data engineering or data migration delivery
- Strong focus on testing, validation, and data quality assurance
- Ability to work across data pipelines and transformation workflows
- Good analytical and problem-solving skills
- Effective communication and teamwork skills
- Willingness to learn and develop in data migration and cloud technologies
Technical Expertise
- Hands-on experience with AWS cloud services, especially AWS Glue
- Python / PySpark
- SQL querying and validation
- YAML configuration (desirable)
- Experience testing or supporting ETL/ELT pipelines, Data migration processes
- Familiarity with Data lake / Lakehouse concepts (e.g., Apache Iceberg), Distributed processing frameworks (e.g., Spark)
- Basic understanding of ETL vs ELT approaches, Cloud-based data architectures
- Exposure to version control and CI/CD tools desirable
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 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.
Data Migration Engineer in London employer: NTT America, Inc.
Join a forward-thinking company that prioritises employee wellbeing and professional growth, offering tailored benefits and flexible work options. Our collaborative work culture fosters innovation and inclusivity, ensuring that every team member feels valued and empowered to contribute to impactful data migration projects. With a strong commitment to diversity and continuous learning, we provide an excellent environment for Data Migration Engineers to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data migration projects, especially those involving AWS Glue or Python/PySpark. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data migration scenarios and challenges. Be ready to discuss how you've tackled issues in past projects, particularly around data quality and pipeline testing.
✨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 are proactive about their job search!
We think you need these skills to ace Data Migration Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data migration, ETL/ELT pipelines, and AWS services. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data migration and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with tools like AWS Glue, Python/PySpark, and SQL. We love seeing specific examples of how you've used these technologies in past projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at NTT America, Inc.
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially AWS Glue, Python/PySpark, and SQL. Brush up on your knowledge of ETL/ELT processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your analytical and problem-solving abilities. Think of specific challenges you faced during data migration or pipeline testing and how you overcame them. This will demonstrate your capability to handle real-world scenarios.
✨Emphasise Collaboration
Since this role involves working closely with architects and engineers, be ready to talk about your teamwork experiences. Share instances where you collaborated effectively to deliver a project, focusing on communication and shared goals.
✨Prepare for Testing Scenarios
Given the focus on testing and validation, be prepared to discuss your approach to ensuring data quality and integrity. You might even want to run through some mock testing scenarios or SQL queries to show your hands-on experience.
