Senior Data Engineer

Social network you want to login / join with :

col-narrow-left

Client : Location : Job Category : Other

EU work permit required : Yes

col-narrow-right

Job Reference : Job Views : 1

Posted : Expiry Date :

col-wide

Job Description : Location : Remote from Spain (Spanish employment contract)

Make retail great again through the power of technology! Intellias helps retailers provide consistent and customer-centric shopping experiences across all channels with disruptive retail tech solutions. Get on board and make your own contribution to the industry!

Project Overview :

A global quick-service restaurant (QSR) brand with a franchise-based operational model is embarking on a digital transformation journey to streamline and unify its data and operational landscape across multiple franchisees. The brand operates in highly competitive and fast-paced retail and food service markets, requiring consistent, real-time insights and operational efficiency.

This project focuses on designing and implementing a centralised data integration and reporting platform to address key systemic challenges across the organisation’s franchise network.

Requirements :

Fluent English and effective communication skills within cross-functional teams

3+ years of experience building ETL pipelines in production-grade environments

1+ year of hands-on experience with Informatica IICS , Snowflake , and AWS

Solid grasp of SQL , data modeling, and transformation techniques

Experience working in Agile methodologies , including backlog grooming, sprint planning, and reviews

A hands-on, ownership-driven mindset with attention to data quality and documentation

Responsibilities :

Design and implement ETL pipelines using Informatica IICS , aligning with business and technical requirements

Perform data validation and analysis within Snowflake to ensure pipeline accuracy and output quality

Participate in code reviews , contributing to performance, clarity, and maintainability

Create and maintain mapping documents , clearly defining source-to-target logic and transformation rules

Collaborate with analysts, data architects, and other engineers in an Agile delivery setup.

#J-18808-Ljbffr