Data Engineer

🕒 September 11

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Southend Pharmacy

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Southend Pharmacy is a 503A compounding pharmacy based in Houston, Texas that provides customized pharmaceutical preparations and clinical pharmacy services to clinics and healthcare providers across the United States. The company emphasizes clinical excellence, regulatory compliance, and trusted pharmacist expertise, and supports providers with digital tools such as LifeFile and real-time coverage mapping. Trusted by thousands of clinics, Southend Pharmacy focuses on delivering precise, provider-facing pharmaceutical solutions and logistical support for expanded geographic coverage.

📋 Description

• 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 • Work closely with Senior Data Engineers, AI, and Product teams to support the growth and scaling of Allia Health Group’s data platform

🎯 Requirements

• BSc or MSc in Computer Science, Data Engineering, Data Science, or a related field (listed as ideal) • 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 such as dbt or Airflow (preferred) • Experience with BI or analytics tools such as Looker (preferred) • Familiarity with Google Cloud Platform and modern data stacks (preferred) • Interest in analytics, AI, or machine learning use cases (preferred)

🏖️ Benefits

• Flexibility to adjust working hours to increase overlap with US CST when needed • Inclusive work environment committed to diversity • Reasonable accommodations during the application process