Data Engineer

TL;DR

Data Engineer: Building and optimizing scalable data platforms, pipelines, and models to support advanced analytics and machine learning solutions with an accent on ETL/ELT processes and cloud architecture. Focus on ensuring data quality, platform performance, and collaborating with cross-functional teams to deliver robust data solutions.

Location: Must be based in the UK; role is hybrid with required onsite days at Chiswick Park, London.

Company

hirify.global is a Fortune 500 live social shopping company operating six leading retail brands.

What you will do

• Design, build, and optimize scalable data pipelines and ETL/ELT processes.
• Monitor, troubleshoot, and improve data quality, reliability, and platform performance.
• Support cloud data architecture, data modeling, automation, and deployment standards.
• Partner with data scientists, analysts, and product owners to deliver practical data solutions.
• Maintain documentation and stay current with emerging cloud and data engineering technologies.

Requirements

• Degree in Computer Science, Engineering, Applied Mathematics, or equivalent experience.
• Strong experience with Oracle, SQL Server, SQL, data modeling, and ETL tools.
• Proficiency in Python and basic understanding of data science and machine learning.
• Familiarity with Spark, Jupyter Notebooks, and Linux/Windows environments.
• Experience with cloud platforms such as GCP, AWS, Azure, and Databricks.
• Knowledge of CI/CD, Docker, and ingestion tools like ADF.

Culture & Benefits

• Competitive compensation package.
• Paid time off and parental leave.
• Employee assistance program and paid volunteer hours.
• Amazing company discounts across retail brands.
• Commitment to inclusion, belonging, and a barrier-free employment process.