Data Warehouse Engineer

Overview

We’re searching for a Data Warehouse Engineer with a proven track record of developing Business Intelligence solutions to drive key outcomes. The role is responsible for different layers of the data hierarchy - including database design, data collection and storage techniques, to a deep understanding of data transformation tools and methodologies, the provisioning and managing of analytical databases, and building infrastructures that bring machine learning capabilities into production. The role will operate within the Business Analytics unit under the Business Analytics Global Manager.

At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.

You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.

Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Why You’ll Enjoy It Here

• Be Part of Something Big - A growing company where your contributions matter.
• Make an Immediate Impact - Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech - AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team - A culture built on trust, collaboration, and respect.
• We Care - Integrity, empathy, and purpose guide every decision.
  
  

We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

We Are TeKnowledge. Where People Lead and Tech Empowers.

Responsibilities

• End to end development of data models, including gathering the data sources, developing ETL processes, and developing front end data model solutions for our business to help our users make smarter decisions
• Full responsibility on our DWH including infrastructure, data modeling, audit logging, etc.
• Building automated validation processes to ensure data integrity
• Optimizing processes run-time and solving problems in a scalable manner
• Taking full ownership of designing, building and deployment of data products
• Collaborating with Backend, Data Science, Data Analysis, and Product teams
  
  

Qualifications

• Bachelor’s degree in Information Systems, Industrial Engineering, or equivalent experience is required
• Professional fluency in English is essential, both written and spoken
• Three or more years of experience in BI solutions development (DWH, ETL) as well as in SQL and ETL tools like SSIS\Informatica is required
• Experience with building automated validation processes to ensure data integrity is considered an advantage
• Experience in data modeling, with no SQL data platform, working ETL tools and methodology, as well as with BI reporting tools is required
• Strong analytical skills are required