Job Description

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

What you'll be doing

• Modify existing Lambda functions, SQL queries and processing jobs to add new features
• Refactor code to ingest/process external data
• Add quality checks to existing pipelines
• Design data models leveraging Iceberg format, for “silver” and “gold” layers
• Optimize queries for performance
• Apply data validation rules
• Build automated quality checks
• Document the data preparation process clearly, including transformations, code comments, and key decisions
• Store all code in GitLab with meaningful commit messages and proper versioning for code and datasets

What we're looking for

• 4–6 years of experience as Data Engineer
• Proven experience designing and building scalable, reliable, and maintainable data pipelines.
• Familiarity with CI/CD, automated testing, and Infrastructure as Code practices.
• Strong Python-based data pipeline development skills (or equivalent), with experience applying Test-Driven Development and AI-assisted coding practices.
• Strong data modeling and schema design expertise, including analytical models and scalable, maintainable data structures.
• Familiarity with DBT (Core or Cloud), including modular SQL transformations, data modeling, testing, documentation, and dependency management.
• Familiarity with pipeline orchestration tools such as Airflow.
• Understanding of data observability, monitoring, failure recovery, and pipeline reliability.
• Strong SQL expertise, including complex queries, performance optimization, and analytical data modeling.
• Knowledge of optimizing Iceberg tables, Athena queries, and Spark workloads for performance and cost efficiency.
• Hands-on experience with AWS services, including Athena, Lambda, Aurora, EventBridge, Glue, and SageMaker.
• Clear, concise communication with engineers, product, and data stakeholders.
• Pragmatic mindset: balances engineering rigor with delivery.
• Sense of ownership
• Fluent English

We offer

Technology

AWS, Glue, S3, DBT, Python

Seniority

senior

Spotlight

yes