Senior Analytics Engineer (AWS)

TL;DR

Senior Analytics Engineer (AWS): Building and maintaining canonical business models and data marts on Iceberg and AWS lakehouse with an accent on data modeling, dbt project structuring, and data quality frameworks. Focus on implementing schema evolution, optimizing performance for SLA-driven reporting, and integrating dbt models into CI/CD pipelines.

Location: Must be based in the European Union region and possess a valid work permit. Targeted locations: Bulgaria, Poland, Romania.

Company

Global AI-first digital transformation and engineering partner helping organizations design and build scalable products, platforms, and data-driven solutions.

What you will do

• Build and maintain canonical business models on Iceberg for project performance reporting.
• Develop curated data marts and model assembly hierarchies from Neptune graphs.
• Structure dbt projects across staging, intermediate, and marts layers to eliminate duplication.
• Implement data quality frameworks using schema tests, dbt-expectations, and dbt-elementary.
• Manage schema evolution and data contracts to prevent reporting disruptions.
• Contribute dbt models to CI/CD pipelines and manage orchestration via Airflow and Cosmo.

Requirements

• Advanced SQL and strong data modeling skills (dimensional, canonical, medallion).
• Hands-on experience with dbt (dbt-core), including tests, macros, sources, and documentation.
• Proficiency with Apache Iceberg and Athena in an AWS lakehouse environment.
• Experience with Airflow orchestration (ideally Astronomer Cosmos) and Python.
• Work from the European Union region and a valid work permit are required.

Nice to have

• Previous exposure to Neptune graph data and CDC-driven data.
• Experience with Snowflake and Sigma.

Hiring process

• CV review and HR introductory call.
• Technical interview followed by a Client interview.
• Final decision.