Senior Data Engineer

iKnowHow Group is a dynamic, international technology company with 24+ years of experience and a team of 300+ talented professionals delivering innovative technology solutions across Energy, Telecommunications, Banking & Financial Services, and the Public Sector.

Through its specialized subsidiaries, it brings domain expertise in areas such as Health and Robotics, blending deep industry knowledge with advanced, future-ready technologies.

At its core, iKnowHow S.A. delivers end-to-end project development - both internal and client-facing - turning strategy into scalable, real-world solutions. Our portfolio spans Data & AI platforms, enterprise integration, cloud-native applications, and large-scale digital transformation initiatives, enabling leading organizations across the public and private sectors to evolve and grow.

We’re looking for curious, driven people who want to create impact through technology and grow with us.

Requirements

- At least 4 years of experience implementing Data Analytics solutions.

- At least 4 years of experience in building and maintaining BI Solutions using the Microsoft BI Stack

- Solid knowledge of DAX, MDX, TSQL Scripting

- Solid knowledge of Microsoft Business Intelligence data tools, such as Power BI, SSIS, SSAS tabular, SSAS multidimensional, SSRS.

- Strong understanding of ETL processes, dimensional modelling and data marts construction.

- Experience with Microsoft Azure Data Factory

- Experience with Tabular Editor Advanced Scripting

Nice to have Skills

- Python / R Scripting

- Insurance background

Personal Skills

- Excellent written and spoken communication skills in English with the ability to state things persuasively for a variety of audiences, internal, business, and technical

- Strong analytical and problem solving skills

- Ability to demonstrate proactivity in all aspects of operation

- Ability to work alone as well as a part of a team

Benefits

• Opportunity to work on large-scale enterprise projects.
• Collaborative and professional working environment.
• Exposure to modern testing tools and technologies.
• Hybrid working model (3 days on-site / 2 days remote).
• Continuous learning and professional development opportunities.