At a Glance
- Tasks: Design and implement Java tools for data migration and validation in a modernisation project.
- Company: Join a leading US insurance company transforming their legacy systems.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a collaborative environment.
- Why this job: Be at the forefront of tech transformation and make a real impact on data integrity.
- Qualifications: Strong Java skills and experience with Universe DB and SQL required.
The predicted salary is between 36000 - 60000 £ per year.
We are executing a phased modernization program to migrate a legacy enterprise system built on Rocket UniVerse (UniVerse / UniData) database technology and a PowerBuilder client-server application stack to a modern Java-based platform with a relational SQL backend for a large US insurance company. As part of this initiative, we are looking for a Senior Data Migration Engineer to play a key role in the data and data-driven logic migration. The primary responsibility of this role is to design and implement Java-based tooling for data extraction, transformation, validation, and reconciliation, ensuring that the migrated data in the target Database environment is accurate, consistent, and functionally equivalent to the legacy system. This is a migration-focused role. Success in this position requires strong experience with Universe DB / MultiValue data models, combined with the ability to build robust, repeatable migration and validation components in Java within a phased or parallel-run modernization program.
Responsibilities
- This role focuses on Java-driven migration tooling and data validation, combined with deep expertise in Rocket UniVerse.
- Developer will design and implement Java-based solutions to extract, transform, validate, and reconcile data and data-driven business logic from Universe DB, while also accounting for how this data is consumed and interpreted by the legacy PowerBuilder application.
Skills
- Must have
- Java: Strong experience with Java for backend development, batch processing, or migration tooling. Experience with Java frameworks (Spring / Spring Boot preferred). Familiarity with data processing, concurrency, error handling, and logging. Ability to design and build reliable, reusable migration and data validation components.
- Universe DB: Hands-on experience with Rocket UniVerse (UniVerse and/or UniData). Strong understanding of MultiValue data models and record structures, DICT files and metadata definitions, data extraction, access patterns, and performance considerations. Experience supporting Universe-based systems or participating in migration initiatives.
- Databases & SQL: Strong SQL skills with experience in relational databases. Practical experience with PostgreSQL or similar platforms. Experience mapping MultiValue data structures to relational schemas. Understanding of data integrity, transactions, indexing, and query performance.
- Nice to have
- Experience in Universe DB to SQL migration projects.
- Familiarity with ETL concepts and data validation frameworks.
- Basic understanding of Java backend data access patterns.
- Experience working in phased or parallel-run migrations.
- Exposure to enterprise or regulated environments.
Senior Data Migration Engineer (Java, Universe DB, SQL) in London employer: Luxoft
Join a forward-thinking company that values innovation and collaboration, where as a Senior Data Migration Engineer, you will play a pivotal role in transforming legacy systems into modern solutions. Our supportive work culture fosters continuous learning and professional growth, offering you the chance to enhance your skills while working on impactful projects for a major US insurance client. Located in a vibrant area, we provide a dynamic environment that encourages creativity and teamwork, making us an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Migration Engineer (Java, Universe DB, SQL) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Luxoft!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Migration Engineer (Java, Universe DB, SQL) at Luxoft.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Luxoft.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Migration Engineer (Java, Universe DB, SQL) at Luxoft, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Migration Engineer (Java, Universe DB, SQL) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Luxoft, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Luxoft. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Luxoft
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Luxoft!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
