At a Glance
- Tasks: Design and build data migration pipelines to transition data to modern cloud platforms.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Flexible work options, continuous learning, and a supportive community.
- Other info: Inclusive workplace with diverse networks and career growth opportunities.
- Why this job: Make a real impact in data migration and cloud technologies while growing your skills.
- Qualifications: Experience in data engineering, strong analytical skills, and a passion for cloud tech.
The predicted salary is between 40000 - 50000 € per year.
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.
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, and 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.
- Execute and validate initial bulk data loads and incremental/delta data processing.
- Write and run SQL queries to validate data completeness, data accuracy, and transformation outputs.
- Support development of test scripts and validation checks.
AWS Data Platforms & Lakehouse
- Work with AWS services including AWS Glue and 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 and public sector data standards where applicable.
- Contribute to testing, validation, and audit activities.
Qualifications
- 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.
- Hands-on experience with AWS cloud services, especially AWS Glue, Python/PySpark, SQL querying and validation, YAML configuration.
- Experience testing or supporting ETL/ELT pipelines and data migration processes.
- Familiarity with data lake/lakehouse concepts (e.g., Apache Iceberg) and distributed processing frameworks (e.g., Spark).
- Basic understanding of ETL vs ELT approaches and cloud-based data architectures.
- Exposure to version control and CI/CD tools desirable.
Benefits
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. Flexible work options are also available.
Equal Opportunity Employer
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 DATA UK Ltd.
As a Data Migration Engineer, you will thrive in a dynamic and inclusive work environment that prioritises employee wellbeing and professional growth. Our commitment to continuous learning, flexible working options, and diverse inclusion networks ensures that you will not only contribute to impactful data migration projects but also develop your skills alongside a supportive team. Join us to be part of a forward-thinking company that values collaboration, innovation, and the unique perspectives of every employee.
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, especially those already working in data migration or cloud technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data migration, ETL/ELT pipelines, or any relevant tech you've worked with. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data migration scenarios and challenges. Be ready to discuss how you've tackled similar issues in the past, and don't forget to highlight your teamwork skills – collaboration is key in this field!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Plus, it shows you're proactive and keen to be part of our awesome team.
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 and cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with AWS Glue, Python/PySpark, and SQL.
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 you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges in data migration or engineering. We appreciate candidates who can demonstrate their analytical skills and ability to work collaboratively in a team.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at NTT DATA UK Ltd.
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like AWS Glue, Python/PySpark, and SQL. Be ready to discuss how you've used these tools in past projects or how you would approach using them in this role.
✨Showcase Your Testing Skills
Since testing and validation are core focuses of this role, prepare examples of how you've ensured data quality and integrity in previous positions. Think about specific challenges you faced and how you overcame them.
✨Collaborative Mindset
This position requires working closely with various teams. Be prepared to discuss your experience in collaborative environments and how you’ve contributed to team success. Highlight any instances where you’ve worked with architects or engineers on data migration projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data migration strategies and the technologies they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
