Data Engineer (BIOTECH)

at  Nexer Group

ABOUT US

Nexer Czech republic is a division within DANIR AB – an IT consulting and R&D company. We have the opportunity to work with world-renowned brands from Scandinavia, the USA, the UK, and Western Europe. Our goal is to grow strong but rather in competencies than in numbers.
If you like what we do, see our offer, maybe it is you we will have the pleasure to meet! :)

MOREOVER, WE APPRECIATE SKILLS IN THESE AREAS:

• Experience working with metadata models, controlled vocabularies and ontologies
• Experience with deploying data pipelines using orchestration services:Airflow/Prefect/AWS Glue/Dagster/etc.
• Experience using AWS services: S3/EBS, EC2, CloudWatch, SNS and Lambda.
• Understanding of software development, testing and quality processes, experiencewith testing frameworks and documentation
• Expertise with biological/health data, especially NGS and other ‘omic technologies.
• Ability to understand, map, integrate, and document complex data relationship andbusiness rules

THE PROJECT AND THE ROLE DESCRIPTION:

We are looking for a highly skilled and experienced Senior Data Engineer to join our dynamic team. You will significantly impact the role of data engineering on the delivery of Data Products to the Oncology R&D organisation. Ensuring we are continuously advancing our data stack as well as our automation and observability capabilities will be central to your work.
Our German client is an AI-driven biopharmaceutical company focused on the discovery and development of advanced medicines. Their vision is to make data science a driver of innovation in oncology.

KEY RESPONSIBILITIES:

• Building and maintaining the infrastructure and pipelines for extracting, transforming,and loading data for use in data products and analyses.
• Working with data scientists and other stakeholders to understand the data needsand requirements of the organization and designing data systems and pipelines to meet these needs.
• Implementing data ingestion, transformation, and storage systems in a FAIR and high-quality way
• Ensuring the reliability, scalability, and performance of data systems and pipelines.
• Implementing data governance policies and procedures to ensure the security, privacy, and integrity of data.
• Collaborating with other members of the data team to build and maintain data products and services.
• Staying up-to-date with new technologies and best practices in the field of data engineering