Data Engineer

Summary

Allia Health Group develops accessible, cost-effective wellness and anti-aging solutions through its health-focused organizations. The Data Engineer will help scale the company’s data platform by building and maintaining pipelines, data models, and reliable datasets that support analytics, reporting, and AI initiatives.

Responsibilities

• Assist in designing, building, and maintaining ETL/ELT data pipelines
• Support data ingestion from internal and external data sources
• Help maintain and improve data warehouse structures and data models
• Ensure data quality through validation, testing, and monitoring processes
• Support analytics and BI use cases by preparing clean, well-documented datasets
• Collaborate with senior engineers and stakeholders to understand data requirements
• Contribute to documentation and continuous improvement of the data platform
• Follow software engineering best practices including version control, testing, and CI/CD

Skills

• ● Ideal Degree(s): BSc or MSc in Computer Science, Data Engineering, Data Science, or a related field
• ● 4+ years of experience in data engineering, analytics engineering, or a related role (or equivalent hands-on experience)
• ● Strong SQL skills
• ● Experience with at least one programming language (Python preferred)
• ● Basic understanding of ETL/ELT processes and data modeling concepts
• ● Familiarity with cloud data platforms (Google BigQuery preferred; AWS/Azure acceptable)
• ● Ability to work collaboratively in cross-functional teams
• ● Strong attention to detail and interest in data quality
• ● Exposure to data orchestration or transformation tools (e.g., dbt, Airflow)
• ● Experience with BI or analytics tools (Looker preferred)
• ● Familiarity with Google Cloud Platform and modern data stacks
• ● Interest in analytics, AI, or machine learning use cases

Qualifications

Must Haves

• ● Ideal Degree(s): BSc or MSc in Computer Science, Data Engineering, Data Science, or a related field
• ● 4+ years of experience in data engineering, analytics engineering, or a related role (or equivalent hands-on experience)
• ● Strong SQL skills
• ● Experience with at least one programming language (Python preferred)
• ● Basic understanding of ETL/ELT processes and data modeling concepts
• ● Familiarity with cloud data platforms (Google BigQuery preferred; AWS/Azure acceptable)
• ● Ability to work collaboratively in cross-functional teams
• ● Strong attention to detail and interest in data quality

Nice to Haves

• ● Exposure to data orchestration or transformation tools (e.g., dbt, Airflow)
• ● Experience with BI or analytics tools (Looker preferred)
• ● Familiarity with Google Cloud Platform and modern data stacks
• ● Interest in analytics, AI, or machine learning use cases

Benefits

• Working in Madeira in a shared office space, remote in Portugal, or remote in a Portuguese time zone–friendly location
• Flexibility to adjust working hours to increase overlap with US CST when needed