Senior Data Engineer

TL;DR

Senior Data Engineer: Developing and maintaining intelligent data infrastructure that powers advanced analytics with an accent on ETL pipeline and dimensional modeling skills. Focus on building complex data pipelines from the ground up, delivering data into and enhancing a database infrastructure that powers advanced analytics, AI-driven decision-making, and autonomous data operations.

Location: Remote (Spain)

Salary: Remote Working Stipend: €40/month automatically applied in payroll

Company

hirify.global™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences.

What you will do

• Design and implement scalable ETL/ELT workflows using AWS primitives.
• Architect and maintain cloud-native data platforms with automated ingestion, transformation, and governance pipelines using modern tools like DBT, Apache Spark, Delta Lake, Airflow, and Databricks.
• Ensure data quality, lineage, and observability.
• Optimize data lake/lakehouse infrastructure, to support AI workloads and large-scale analytics.
• Leverage AI coding assistants to accelerate development cycles, generate complex SQL queries, and automatically optimize data pipeline code.
• Mentor junior engineers on both traditional data engineering practices and effective use of AI development tools.

Requirements

• 3+ years of experience in data engineering, including building and maintaining large-scale data pipelines.
• Extensive experience in SQL RDBMS (SQLServer or similar) with dimensional modeling using star schema, and foundational data warehousing concepts.
• Hands-on experience with AWS services such as Redshift, Athena, S3, Kinesis, Lambda, Glue.
• Experience with DBT, Databricks or similar data platform tooling.
• Experience working with structured and unstructured data and implementing data quality frameworks.
• Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, or similar).

Nice to have

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Experience in a SaaS or e-commerce environment with AI/ML products.
• Experience with containerization and orchestration tools like Docker and Kubernetes.

Culture & Benefits

• Partner with the leading brands and retailers.
• Achieve work-life balance through remote-first working conditions and generous time off.
• Receive industry-competitive compensation and total rewards benefits.
• Competitive time off package with 25 Days of PTO, 8 Company-paid Holidays, 5 paid floating holidays (new in 2026!), 2 Wellness days and 1 Paid Volunteer Day.
• Remote Working Stipend: €40/month automatically applied in payroll.