Tech Lead (Senior Data Engineer)

Remote.Bulgaria
Remote.Georgia
Remote.Kazakhstan
Remote.Poland
Алмати
Астана
Белград
Варна
Варшава
Вроцлав
Ереван
Клуж-Напока
Краков
Ларнака
Лодз
Люблин
Рига
София
Тбилиси

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Project overview

You will work on a modern clinical and real world data platform that brings together EHR, EDC, lab data, and registries into a shared clinical data model. The goal is to build a scalable environment on Databricks with reusable data pipelines, semantic layers, and strong data quality foundations.

Position overview

You will take on a hands on technical leadership role where you design the platform architecture, drive engineering decisions, and guide a small team. You will be responsible for building end to end data pipelines, shaping the canonical data model, and ensuring the platform delivers high quality and well structured clinical data to product and analytics teams.

Technology stack

Databricks
Apache Spark
Delta Lake
Python
SQL
Data quality frameworks
Clinical data models and terminologies

Responsibilities

Design and develop the Databricks based data platform and reusable pipelines for ingestion, transformation, and data delivery
Design PoC solutions and validate ideas on 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 pipelines
Lead and mentor a small group of data engineers and review designs and code
Set engineering standards and guide 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
Proven experience as a Tech Lead or Team Lead, with end-to-end ownership of team execution, stakeholder communication, and technical quality
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

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