Senior BI Data Engineer

Location: Israel - Raanana

Department: CX - R&D Engineering

So, what’s the role all about?

The R&D Business Operations team is responsible for collecting, analyzing, and managing R&D data, change requests, and various cross-unit projects and initiatives. As a BI Data Engineer, you will be the backbone of our data infrastructure owing end-to-end data pipelines that power the analytics and dashboards used across the R&D group, connecting a wide range of data sources into a coherent, scalable platform. You will accompany the full data journey, from ingestion and transformation through to the creation of datasets and, where needed, venture into the reporting and dashboard layer to deliver complete, business-ready data products.

We are looking for a seasoned, self-driven professional with a strong sense of ownership who can take a task from start to finish independently. We also value genuine intellectual curiosity — someone who keeps up with what's happening in the data and AI space, is willing to experiment, and helps the team identify where new technologies can create real value

How will you make an impact?  

•    Design, build, and maintain scalable data pipelines feeding dashboards and analytical products across the R&D organization
•    Own and manage the cloud data warehouse — schema design, performance tuning, and access control
•    Manage data ingestion workflows connecting diverse data sources to the central data platform
•    Develop and maintain transformation models ensuring clean, well-documented, and tested data layers
•    Accompany the full data lifecycle from raw ingestion to business-ready datasets, and build the corresponding reports and dashboards where needed
•    Implement data quality checks, monitoring, and alerting to proactively identify and resolve issues
•    Translate business requirements into data solutions, working across R&D, Product, IT, and Business Operations
•    Explore emerging AI capabilities as they relate to data engineering and help identify practical opportunities for the team

Have you got what it takes?

•    At least 5 years of hands-on, production data engineering experience
•    Proven expertise with a cloud data warehouse (Snowflake)
•    Hands-on experience with a data ingestion tool (e.g., Fivetran or equivalent)
•    Hands-on experience with a data transformation framework (e.g., dbt or equivalent)
•    Strong SQL skills: advanced querying, optimization, and data modeling
•    Strong hands-on experience working with external APIs, including authentication, rate limits, pagination, and error handling
•    Ability to design, build, and maintain custom API-based data ingestion pipelines in Python
•    Hands-on experience with Python for data engineering tasks
•    Practical experience operating workflow orchestration tools such as Airflow
•    Ownership and administration of cloud data environments such as AWS or Azure, including account-level responsibility for data workloads
•    A strong sense of accountability — comfortable being the go-to person for your data domains and available to respond when issues arise outside of regular hours
•    Genuine curiosity about developments in the AI and data space — someone who actively follows trends, is eager to experiment, and brings new ideas to the table

You will have an advantage if you also have:

•    Familiarity with BI and reporting tools
•    Experience with R&D tooling ecosystems
•    Exposure to data governance or data observability practices
•    Fluent English — written and spoken

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

#LI-Hybrid

Requisition ID: 10660

Reporting into: Director, R&D Operations, CX

Role Type: Individual Contributor