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Tech Lead (Senior Data Engineer)
Описание вакансии
Текст:
TL;DR
Tech Lead (Senior Data Engineer): Designing a modern clinical and real-world data platform on Databricks, focusing on scalable data pipelines, semantic layers, and strong data quality foundations. Focus on building end-to-end data pipelines and shaping the canonical data model to deliver high-quality clinical data to product and analytics teams.
Location: Almaty, Astana, Belgrade, Cluj-Napoca, Krakow, Larnaca, Lodz, Lublin, Remote.Bulgaria, Remote.Georgia, Remote.Kazakhstan, Remote.Poland, Riga, Sofia, Tbilisi, Varna, Warsaw, Wroclaw, Yerevan
Company
is a global software engineering firm that designs, develops, and supports unique software solutions.
What you will do
- 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.
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.
Culture & Benefits
- Vacation as per the laws of your country, with a request to take a proper rest.
- Health insurance to help you and your loved ones.
- 10 days of sick pay without a doctor's note, with additional days as per the laws of your country.
- Time off for state holidays according to the official calendar.
- Pleasant environment with two large corporate parties and many small get-togethers for colleagues.
- Comfort service to solve technical and everyday problems at work.