Senior Data Engineer (Databricks, Clinical Data)

TL;DR

Senior Data Engineer (Databricks, Clinical Data): Designing and developing a modern clinical and real-world data platform on Databricks with an accent on scalable data pipelines, semantic layers, and robust data quality. Focus on shaping the canonical data model, building end-to-end data pipelines, and ensuring high-quality clinical data delivery to product and analytics teams.

Location: This role supports a distributed team and offers options for working onsite in Almaty, Astana, Belgrade, Cluj-Napoca, Krakow, Larnaca, Lodz, Lublin, Riga, Sofia, Tbilisi, Varna, Warsaw, Wroclaw, or Yerevan, or remotely from Bulgaria, Georgia, Kazakhstan, or Poland.

Company

hirify.global is a global technology consulting firm that creates unique solutions at the cross-section of business and technology.

What you will do

• Design and develop a Databricks-based data platform and reusable pipelines for data ingestion, transformation, and delivery.
• Design Proof-of-Concept (PoC) solutions and validate ideas using real clinical datasets.
• Define and maintain clinical and canonical data models for priority domains.
• Build and improve the semantic layer and ontologies, including concepts, metrics, and mappings.
• Implement and automate data quality rules and monitoring within all data pipelines.
• Lead and mentor a small group of data engineers, reviewing designs and code, setting engineering standards, and guiding technical decisions.
• Collaborate with product teams, clinical experts, data scientists, and BI specialists to clarify needs and priorities.

Requirements

• Seven years of experience in data engineering or data architecture with production pipelines.
• Strong experience working with Databricks, including Spark, Delta Lake, jobs, and performance tuning.
• Experience designing canonical or domain data models, preferably for clinical or healthcare data.
• Experience working with ontologies or semantic layer design.
• Practical experience implementing data quality rules and frameworks in pipelines.
• Experience leading or mentoring engineers and driving technical decisions.
• Strong communication skills and effective stakeholder collaboration.
• Domain knowledge in clinical research, healthcare, or pharma tech.

Nice to have

• Familiarity with clinical data standards such as FHIR, CDISC, or OMOP.
• Knowledge of medical terminologies.
• Experience with semantic web or knowledge graph technologies.
• Experience working in international distributed teams.

Culture & Benefits

• Vacation as per local laws.
• Assistance with health insurance for you and your loved ones.
• Sick pay of 10 days without a doctor's note, then as per local laws.
• Time off for state holidays according to the official calendar.
• Pleasant environment with large corporate parties and smaller get-togethers.
• Comfort service for technical and everyday work problems.
• Work on global projects and support for IT certifications, courses, and learning platforms.