(Senior) Lead Data Engineer

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.

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.

Are you ready to make waves in the world of AI? We are on the hunt for a Senior/Lead Data Engineer to join our dynamic global R&D organization. You will be at the forefront of infusing cutting-edge advanced analytics and AI into IFS Cloud, revolutionising Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimisation, and unleashing generative AI.

Your data engineer wizardry will power our solutions, crafting efficient data pipelines, expanding our data platform capabilities, and pushing the envelope of data-driven innovation across our product lineup. Your sharp critical thinking and knack for real-world business dilemmas will be instrumental in orchestrating end-to-end solutions.

This role is all about hands-on technical prowess, and we expect you to bring your A-game. Your mission includes:

• Spotting high-value data opportunity within our IFS offerings, translating raw data into powerful features and reusable data assets.
• Serving as our data expert, guiding us towards the latest and greatest data technology and platform trends.
• Leading the Data Engineering team in crafting and integrating data projects from the ground up.
• Locking arms with ML Engineers, Data Scientists, Architects, and Product/Program Managers to define, create, deploy, monitor, and document data pipelines to power advanced AI solutions.
• Becoming our data technology evangelist, sharing your discoveries with clients and internal stakeholders, offering actionable insights that drive change.

To succeed in this role, you will need:

• 7+ years of data engineering experience, skilled in scalable solutions like Data Lakes/Lakehouse, Graph and Vector Databases (e.g., ADLS, Elasticsearch, MongoDB, Azure AI search, etc.).
• Proficient in data pipelines across cloud/on-premises, using Azure and other technologies.
• Experienced in orchestrating data workflows and Kubernetes clusters on AKS using Airflow, Kubeflow, Argo, Dagster or similar.
• Skilled with data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources.
• Expert in large-scale data processing with Spark or Dask.
• Strong in Python, Scala, C# or Java, cloud SDKs and APIs.
• AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow).
• Solid in DevOps, CI/CD automation with Bitbucket Pipelines, Azure DevOps, GitHub.
• Experienced in leveraging Azure AI Search, MongoDB, Elasticsearch or other hybrid/vector stores for content analysis and indexing.
• Proficiency in building IoT data pipelines, encompassing real-time data ingestion, transformation, security, scalability, and seamless integration with IoT platforms.
• Design, develop, and monitor streaming data applications using Kafka and related technologies.

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.

Sounds exciting? Then we look forward to receiving your complete application through our online applicant management system, stating your salary requirements and earliest possible starting date.