Data Engineer (AWS)

TL;DR

Data Engineer (AWS/Snowflake/Databricks): Designing, building and delivering cloud-native data solutions and scalable ETL/ELT pipelines for enterprise clients with an accent on data modeling and performance optimization. Focus on implementing production-grade pipelines using dbt, AWS services, and high-performance data platforms.

Location: Remote, UK

Company

hirify.global is a consultancy at the forefront of AI, Big Data, and Cloud technologies, helping global organizations solve complex data challenges.

What you will do

• Design, develop, and maintain scalable ETL/ELT pipelines using dbt, Snowflake, and Databricks.
• Build and optimize cloud-native data lake solutions utilizing Amazon S3.
• Develop production-grade data pipelines using AWS Glue, Lambda, Step Functions, or MWAA.
• Build scalable data models to support advanced analytics and business reporting.
• Optimize SQL transformations for maximum performance and cost efficiency.
• Create reporting solutions and dashboards using Databricks Dashboards, Snowsight, or Amazon QuickSight.

Requirements

• Must be based in the UK
• 3+ years of commercial experience delivering production data engineering solutions.
• Strong hands-on expertise with dbt for data transformation and modeling (essential).
• Proficiency in SQL and Python programming.
• Commercial experience with Snowflake or Databricks as enterprise data platforms.
• Experience working within AWS cloud environments and implementing CI/CD practices.

Nice to have

• Databricks or Snowflake certifications.
• Experience in consulting or client-facing environments.
• Infrastructure as Code experience (Terraform or CloudFormation).
• Knowledge of data governance and security best practices.

Culture & Benefits

• Fully remote work arrangement.
• Opportunity to work on enterprise-scale projects across multiple industries.
• Access to AWS, Microsoft, and Databricks certifications.
• Clear career progression path toward Senior Data Engineer.
• Collaborative engineering culture focused on technical excellence.

Hiring process

• Screening and Technical Interviews.
• Technical Exercise.
• Second Stage and Final Interviews.