Senior Data Engineer

Required Senior Data EngineerAbout 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 filesEnhance our data warehouse system to dynamically support multiple analytics use casesImplement and productize complex scientific and computational algorithms as scalable, production-grade pipeline componentsDrive our data infrastructure toward becoming AI-native, enabling AI/ML systems and agents to reliably query, reason over, and act on our dataImplement data governance policies and procedures to ensure data quality, security, and privacyCollaborate with ML and AI scientists and other cross-functional teams to understand their data needs and requirementsDrive team capability growth by championing an AI-first SDLC, mentoring data engineers on AI-assisted development practices and toolingDevelop and maintain documentation for data pipelines, processes, and systemsRequirementsWe 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.Requirements: 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 PythonMust have at least 5+ years of experience as a Data Engineer, ideally with experience in multiple data ecosystemsProficiency 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 setsExperience working in a cloud environmentStrong problem-solving and communication skillsFamiliarity with biotech or healthcare data - an advantageDesired personal traits:You want to make an impact on humankindYou prioritize We over IYou enjoy getting things done and striving for excellenceYou collaborate effectively with people of diverse backgrounds and culturesYou constantly challenge your own assumptions, pushing for continuous improvementYou have a growth mindsetYou make decisions that favor the company, not yourself or your teamYou are candid, authentic, and transparent.This position is open to all candidates.