Senior Data Engineer - IFS Ultimo at IFS NORTH AMERICA INC

Colombo, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Analytics, AI Applications, Data Pipelines, Data Preparation, Data Transformation, SQL, C#, Machine Learning, Statistics, Agile, Cross-Functional Collaboration, Communication, Teamwork, Problem Solving, Data Integrity

Industry

Software Development

Description

Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description IFS Ultimo, an IFS company headquartered in the Netherlands with more than 2400 global customers, is a leading Enterprise Asset Management software provider with a strong reputation for the completeness, flexibility, and configurability of its SaaS EAM solutions. We’re building the next generation agentic AI framework — intelligent, agentic approach that shifts industrial asset management from reactive maintenance to autonomous, proactive operations . Our platform will empower digital agents to onboard assets, manage maintenance, optimize stock, and support technicians — all through intelligent, context-aware interaction. We are expanding our team and to make this vision a reality, we’re looking for a Data Engineer who will bring a wealth of experience in shaping the future of Ultimo. We're seeking a skilled Data Engineer who’s passionate about high-quality data, real-world AI applications. This is your chance to shape how digital agents learn, reason, and act in industrial environments. This job opening is in the Ultimo team of IFS Design and Maintain Data Pipelines: To supply high-quality, reliable data for training and testing AI agents and build and manage data pipelines. This includes setting up infrastructure, integrating diverse data sources, and maintaining data integrity. Data Preparation and Transformation: Clean, preprocess, and transform data to optimise embedding generations for semantic search. AI Behaviour: Responsible for verifying AI agent behaviour in diverse conditions by simulating and analysing variations in data, user interactions, and orchestration flows Cross-functional Collaboration: Work closely with AI Experts and software Engineers to understand agent testing requirements and co-develop datasets that reflect real-world use cases and workflows. Ability to break down a complex workflow into simple steps: Create example datasets that reflect different user actions and tasks so we can test how well the AI agents handle and make decisions in real-world scenarios. Qualifications A Bachelors/Masters Degree in Computer Science, Artificial Intelligence, Data Analytics or a related field 2–5 years of experience in data engineering or analytics engineering roles Experience with vector databases and embeddings Ability to write clean, testable, and scalable data code Passion for learning machine learning and statistics Team-oriented, communicative, and eager to work cross-functionally with software engineers, analysts, and AI/ML experts Strong in SQL Experience in programming in C# will be an added advantage Excellent verbal and written communication skills Familiar with the Agile/Scrum method of working Experience with working in a multidisciplinary team What will make you shine among other candidates: Exposure to ML libraries Interest or successful coursework completion in statistics, ML, or data science Additional Information We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Data Engineer will design and maintain data pipelines to supply high-quality data for AI agents, ensuring data integrity and reliability. They will also collaborate with AI experts and software engineers to create datasets that reflect real-world use cases.