Data Engineer

Southend Pharmacy; Portugal; Híbrido; EUR 55 000 - 75 000; Tempo integral

Resumo da oferta

Allia Health Group is seeking a Data Engineer to build and scale data pipelines, ensuring reliable, well-structured data for analytics and AI initiatives. You will collaborate with Senior Data Engineers, AI, and Product teams to enable accessible data across the organization.

You will contribute to documentation, CI/CD practices, and data quality initiatives, while supporting analytics and BI use cases with clean datasets.

Qualificações

• 4+ years in data/analytics engineering or equivalent hands-on experience.
• Strong SQL and at least one programming language (Python preferred).
• Experience with ETL/ELT and data modeling concepts.
• Familiarity with cloud data platforms (BigQuery preferred; AWS/Azure acceptable).
• Ability to work collaboratively in cross-functional teams.

Responsabilidades

• Design, build, and maintain ETL/ELT data pipelines.
• Ingest data from internal and external sources.
• Maintain data warehouse structures and data models.

Conhecimentos

SQL skills

Python

Data quality

Attention to detail

Collaborative

Formação académica

BSc or MSc in CS/Data-related field

Ferramentas

dbt

Airflow

Looker

BigQuery

Descrição da oferta de emprego

At Allia Health, the umbrella organization for Southend Pharmacy, Brello Health, and Woven, we don’t just follow industry trends—we redefine them. Our mission is to commoditize anti‑aging solutions, making them affordable and accessible to the average consumer—not just the wealthy. By offering customized and cost‑effective wellness products that follow cost‑containment models, we aim to improve people’s quality of life and meet them wherever they are on their health journey.

Work Location Details

• 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

Job Summary

The Data Engineer will support the growth and scaling of Allia Health Group’s data platform. This role focuses on building, maintaining, and improving data pipelines and data models that enable analytics, reporting, and AI initiatives. Working closely with Senior Data Engineers, AI, and Product teams, the Data Engineer will help ensure data is reliable, well‑structured, and accessible across the organization.

Key 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

Required Qualifications

• 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

Preferred Qualifications

• 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

Equal Opportunity Employer Statement

Allia Health Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you have any questions or require accommodations during the application process, please contact [e-mail].