Senior Data Engineer

About the job:

Job Description: Senior Data Engineer

Location: Remote, in European timezone/ Israel

Department: Research & Development

Type: Full-Time

About Beaconcure:

Beaconcure is revolutionizing the way new drugs and vaccines are approved for market

by replacing manual processes with deep tech. Our company’s core product, Verify, is

an AI-powered statistical analysis workspace designed to improve workflows and

accelerate regulatory approval processes.

Accurate analysis of clinical research data is critical to helping millions of people receive

safe and effective medical treatments faster. Our flagship product, Verify, provides

assurance that the data underpinning these analyses are of the highest integrity. At

Beaconcure, you can reshape and impact the speed at which new medications aid

patients, many of whom may be your family or friends. You will also help drive the

translation of meaningful ideas into beneficial products with the support of an inclusive

and diverse group of highly talented professionals.

We are seeking a highly motivated and experienced Senior Data Engineer to join our

team!

Role Overview As a Senior Data Engineer at Beaconcure, you will:

• Design and implement robust, scalable data pipelines and workflows using modern data engineering frameworks

• Collaborate closely with Data Scientists, Analysts, Developers, and Product

• Managers to support data needs and model deployment

• Take ownership of data quality, data architecture, and production readiness across systems

• Build and optimize data extraction, transformation, and loading (ETL) processes across structured and unstructured datasets

• Develop reusable data processing components and libraries

• Troubleshoot data issues, performance bottlenecks, and maintain high data integrity across environments

• Contribute to the evolution of our cloud-based data infrastructure

• Document data workflows and participate in the development and execution of test

strategies for data systems

Requirements

• 3+ years of experience in Python development (or 1+ years Python + 2+ years in another language)
• 2+ years of experience in production data environments
• Strong experience with modern data engineering tools and libraries (e.g., Pandas, PySpark, SQLAlchemy)
• Hands-on experience with Databricks, or other distributed data processing frameworks
• Proficiency in working with structured and semi-structured data from various sources (databases, APIs, files, etc.)
• Experience with agile methodologies and tools
• Familiarity with data modeling, data warehousing, and performance optimization
• Excellent analytical and problem-solving skills
• Strong English communication skills, both written and verbal
• Team player with strong collaboration and interpersonal abilities

Advantages

• Experience with Databricks or similar platforms for large-scale data processing and analytics as well as data orchestration tools and MLOps frameworks
• Experience in delivering AI-ready datasets and knowledge of AI/ML frameworks
• Proficiency with regular expressions
• Experience with NoSQL databases (e.g., MongoDB)
• Familiarity with cloud services (AWS and/or Azure)
• Hands-on experience with Python testing and debugging tools such as PyTest
• Experience building and maintaining CI/CD pipelines
• Background in the pharmaceutical or life sciences industry
• Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent experience

Our Ethos At Beaconcure, we believe how we build is just as important as what we

build.

Here’s what drives us:

We’re a tech-forward organization – we don’t just adopt technology; we evolve with it.

We celebrate great engineering – elegant, efficient, and impactful code gets the

recognition it deserves.

We use modern, exciting tools – whether it’s Databricks, PyTorch, or CI/CD

automation, we stay at the forefront.

We embrace AI-assisted development – tools like GitHub Copilot, Cursor, and Windsurf help us code smarter and faster.

We value a growth mindset – curiosity, experimentation, and continuous learning are the keys to thriving here.