About the role:
You will specialize in designing and building world class, scalable data architectures, ensuring reliable data flow and integration for groundbreaking biotechnological research. Your expertise in big data tools and pipelines will accelerate our ability to derive actionable insights from complex datasets, driving innovations in improving patients outcome and in delivering life savings treatment solutions.
In this role, you will work closely with data scientists, AI/ML engineers, architect and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.
Location: Ramat Gan, (Hybrid model)
What will you do?
Design, build, and maintain data pipelines that ingest, transform, and load noisy, heterogeneous biological data at scale - from single-cell sequencing, genomic, and clinical sources - across databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Implement and productize complex scientific and computational algorithms as scalable, production-grade pipeline components
Drive our data infrastructure toward becoming AI-native, enabling AI/ML systems and agents to reliably query, reason over, and act on our data
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with ML and AI scientists and other cross-functional teams to understand their data needs and requirements
Drive team capability growth by championing an AI-first SDLC, mentoring data engineers on AI-assisted development practices and tooling
Develop and maintain documentation for data pipelines, processes, and systems
Requirements
We will only consider senior data engineers that have demonstrated strong system design skills combined with an extensive background working with data orchestration, data warehousing and ETL tools.
Required qualifications:
Bachelor's or Master's degree in a related field (e.g. computer science, data science, engineering, computational biology)
At least 7 years of experience with programming languages, specifically Python
Must have at least 5+ years of experience as a Data Engineer, ideally with experience in multiple data ecosystems
Proficiency in SQL and experience with database technologies (e.g. MySQL, PostgreSQL, Oracle)
Familiarity with data storage technologies (e.g. HDFS, NoSQL databases)
Experience with ETL tools (e.g. Apache Beam, Apache Spark)
Experience with orchestration tools (e.g. Apache Airflow, Dagster)
Experience with data warehousing technologies (ideally BigQuery)
Experience working with large and complex data sets
Experience working in a cloud environment
Strong problem-solving and communication skills
Familiarity with biotech or healthcare data - an advantage
Desired personal traits:
You want to make an impact on humankind
You prioritize “We” over “I”
You enjoy getting things done and striving for excellence
You collaborate effectively with people of diverse backgrounds and cultures
You constantly challenge your own assumptions, pushing for continuous improvement
You have a growth mindset
You make decisions that favor the company, not yourself or your team
You are candid, authentic, and transparent
*Please note that when you apply for a position at Immunai, you're application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/
