Data Engineer Analyst

About the role

We are looking for a Data Engineer Analyst to design and implement scalable, domain‑oriented data solutions for a high‑impact enterprise initiative. You will work within a specific data domain such as Ingestion, Customer Data, Enrichment or Marketing Signals, ensuring high‑quality pipelines that power analytics and business‑critical workflows.

Key responsibilities

• Design and develop scalable data pipelines on AWS (Glue, S3, Athena, Step Functions).
• Build and optimise batch and streaming ingestion pipelines, including CDC‑based architectures.
• Support data model design aligned with business and analytics needs.
• Ensure data quality, reliability and performance across pipelines and datasets.
• Collaborate with cross‑functional teams to align technical solutions with business requirements.

Required profile

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering or equivalent.
• 3+ years of experience in Data Engineering or related disciplines.
• Advanced English communication skills.

Required skills

• Hands‑on experience with AWS Glue, S3, Athena and Step Functions.
• Proficiency in Python and PySpark.
• Experience with Snowflake or similar cloud data warehouse (optional).
• Understanding of data pipeline architecture, CDC patterns and streaming ingestion.

What we offer

• Learning opportunities: AWS, Databricks and Snowflake certifications, AI learning paths, Udemy Business courses.
• Travel opportunities to industry conferences and client meetings.
• Mentoring and career development programs.
• Flexible working options and company‑provided equipment.