Data engineer

We’re proud to be recruiting on behalf of a forward-thinking, data-driven organization that uses the latest technologies to transform information into powerful insights. Our client’s mission is to leverage data to drive smarter business decisions across marketing, sales, and service — and they’re looking for an experienced Data Engineer to help make it happen.

Data Engineer – Leading Data-Driven Organization

We’re proud to be recruiting on behalf of a forward-thinking, data-driven organization that uses the latest technologies to transform information into powerful insights. Our client’s mission is to leverage data to drive smarter business decisions across marketing, sales, and service — and they’re looking for an experienced Data Engineer to help make it happen.

As a Data Engineer , you’ll be part of a skilled team building a modern data platform that supports real-time analytics and enables crucial insights into fraud detection, compliance, and customer behavior. You’ll play a key role in developing reliable, scalable solutions that help the business innovate and grow.

Designing and implementing technical solutions for engineering, data, and business teams.

Building, testing, and deploying infrastructure using automation and code.

Writing documentation and tutorials, while supporting users with a range of technical skills.

Collaborating with cross-functional teams including architecture and platform experts.

Delivering high-quality software solutions that solve real business challenges.

You’ll join a dynamic Data Management department composed of several teams. This position sits within the Datalake team , focused on building a state-of-the-art Big Data & AI platform for internal analytics users.

The team works with cutting-edge tools and technologies such as Azure Databricks , Delta Live Tables , Python , and Dbt .

Our client is seeking a collaborative and technically strong professional with a passion for data engineering and problem-solving.

A degree or equivalent experience in Computer Science or Engineering.

3+ years of hands-on experience in data engineering, including structured/unstructured data and data lake environments.

Strong proficiency in Python , Spark , and modern data engineering practices.

Solid understanding of Cloud Computing , Containerization , CI/CD , and DevOps .

Experience with SQL , NoSQL , and database design.

Strong analytical skills, a curious mindset, and a goal-oriented, team-focused attitude.

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