Job description
Overview
Who are we?
CBTW is a global tech solutions company. We empower businesses with tailored tech and business solutions that drive innovation and sustainable growth.
With over 2 500 experts across 21 countries, we deliver results through flexible engagement models like: whether augmenting teams, managing complex projects, or building long-term operations.
Thanks to our 5 service lines, we specialize in:
AI & Data Platforms,
Cloud & Enterprise Platforms,
Cybersecurity,
Software Engineering,
Strategy, Product & Transformation.
More info on our website:
What service line will you be part of?
As a Data Engineer B.I., you will join our AI & Data Platforms expertise.
AI & Data Platforms is CBTW's service line dedicated to supporting organizations in leveraging their data and fulfilling their AI ambitions to achieve tangible results. We focus on adoption and measurable impact from day one, combining our comprehensive, end-to-end expertise with our ecosystem of leading partners such as SAS, Snowflake, Microsoft and Databricks.
Our clients rely on us to support with:
Data Platform modernisation, migration and optimisation
AI-driven Business Insights & Customer Analytics
Cutting-edge GenAI products & Agentic AI automation
Unified Data Platform & Cloud Infrastructure
Data & AI Governance
BI & Analytics for business teams
Responsibilities
What is your role?
You will be part of a journey where you will have two impacts: a client impact and an internal impact.
For the internal impact, based on your skills and availability, you will join our internal Data community at CBTW to share knowledge and best practices.
For the client impact, tasks may vary depending on the project, but you will mainly:
Design, develop, and maintain data pipelines and ETL processes using SAS Enterprise Guide and SAS Viya
Work on data preparation, transformation, and integration to ensure high data quality and consistency
Develop and optimize SAS programs and queries for performance and scalability
Contribute to the migration or implementation of SAS Viya platforms
Design and maintain data models and reporting layers for BI use cases
Collaborate with business stakeholders, analysts, and data scientists to translate business needs into technical solutions
Ensure data governance, security, and compliance within SAS environments
Monitor and troubleshoot data workflows and improve system performance
Stay up to date with SAS ecosystem evolutions and BI best practices
Qualifications
What are we offering?
EVOLUTION:
A career development expert will follow up on your professional path within the company and support you in shaping and growing your career,
Catalogue with a wide variety of trainings for hard and soft skills, private language classes, unlimited access to an E-learning platform (Udemy, Code Academy... ) and possibility to get certified every year,
Training days credits.
COLLABORATION:
You will join a community of [job title] experts where colleagues support each other on projects, share knowledge through workshops and events to keep learning and evolving, and build international connections, while also enjoying great moments and drinks together,
Participate in internal projects to innovate and develop our solutions portfolio,
Join one of our collectives (Wellness, Agile, RSE, Gaming ...) and share your interests with other positive thinkers,
You’ll also enjoy several unforgettable company parties throughout the year. Events that CBTW has truly mastered the art of organizing.
ON TOP OF THAT:
We offer a competitive salary with a flexible mobility package that allows you to choose options such as having mobility benefits (electric cars, electric bikes, public transportation subscription).
Your next adventure starts at CBTW!
Do you see a match? We would love to see your application coming in! 😉
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.