TL;DR

AI Data Engineer: Building and optimizing robust data foundations for CRM insights and customer support tools with an accent on scalable data models, ELT pipelines, and system efficiency. Focus on enhancing data delivery, processing performance, and cost optimization in cloud-based big data environments.

Location: Hybrid remote work from Portugal, Dublin, Ireland, or Berlin, Germany, with flexibility to work remotely for part of the week and come together in person in %hirify_global% offices.

Company

%hirify_global% is a company that simplifies business complexity and enables strong customer relationships through its customer experience software.

What you will do

Collaborate to define requirements and translate them into scalable data models and pipelines.
Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics.
Build and optimize SQL-based data models using dbt and other ETL tools.
Identify and implement improvements in data delivery, processing performance, and system efficiency.
Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.

Requirements

3+ years of data engineering experience building, maintaining, and working with data pipelines and ETL processes in big data environments.
Extensive experience with SQL, ideally in the context of data modeling (Kimball, Inmon).
Hands-on production experience with dbt.
Programming skills in Python or a similar language, with an emphasis on data transformation and automation.
Experience with cloud columnar databases, primarily Snowflake, and query authoring.
Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems.
Excellent communication and collaboration skills.

Nice to have

SnowPro Core certification.
Hands-on production experience with Apache Spark (Spark SQL / PySpark).
Familiarity with Lean/6 Sigma principles and CRM analytics.

Culture & Benefits

Hybrid way of working with flexibility for remote work for part of the week.
Opportunities to purposefully come together in person at %hirify_global% offices around the world for connection, collaboration, and learning.
Commitment to fairness, transparency, and fostering global diversity, equity, and inclusion.
Provision of reasonable accommodations for applicants with disabilities and disabled veterans.

Hiring process

Artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position.