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Benefits offered by this job
Work with cutting-edge data technologies
Opportunity to drive innovation
Support data literacy and training programs
Job summary
A dynamic recruitment firm is seeking a skilled Data Engineer to join their client in the retail industry. In this mid-senior level position, you will create and automate data pipelines, build data infrastructure, and support data-driven initiatives. Ideal candidates have a degree in a relevant field, 3–5 years experience, and familiarity with big data frameworks and cloud platforms. Enjoy a collaborative environment focused on innovation and professional growth.
Qualifications
3–5 years of experience in data engineering or related disciplines.
Familiarity with DevOps, CI/CD, and Agile/Scrum environments.
Relevant certifications (AWS Big Data, Google Data Engineer, Azure Data Engineer) are a plus.
Responsibilities
Team up with engineering and enterprise architecture to define standards.
Build and automate data pipelines.
Conduct complex data analysis and respond to business and technology queries.
Skills
Experience with big data frameworks (Spark, Hive)
Data modeling
Pipeline automation
Proficiency in cloud platforms (Azure, AWS, GCP)
Strong communication and collaboration skills
Education
Bachelor’s degree in Computer Science, Information Systems, or related field
Tools
Azure Data Factory
Databricks/Spark
Snowflake
Kafka
Job description
A dynamic recruitment firm is seeking a skilled Data Engineer to join their client in the retail industry. In this mid-senior level position, you will create and automate data pipelines, build data infrastructure, and support data-driven initiatives. Ideal candidates have a degree in a relevant field, 3–5 years experience, and familiarity with big data frameworks and cloud platforms. Enjoy a collaborative environment focused on innovation and professional growth.