Data Engineer

DEUS EX MACHINA is a cutting-edge AI company specializing in life science computational methods, including Artificial Intelligence (AI), Machine Learning (ML), and Digital Twins. We leverage Generative AI and Large Language Models (LLMs) to accelerate the analysis of biological, clinical, agronomical, and marketing data, driving innovation in life sciences, food, nutrition, and health. At the heart of our success are our people—strategic thinkers, problem solvers, and innovators—who collaborate with Fortune 100 organizations and startups alike to deliver impactful solutions.

We are currently seeking a Data Engineer with a critical thinking and problem solving mindset to join our Software Engineering team in Thessaloniki or Athens. As a Data Engineer, you will participate in building the data infrastructure that will be powering our products and platform and report to the Software Engineering Manager. You will be joining a talented team of Engineers, Data Scientists, and Bioinformaticians working on state-of-the-art technology products and solutions.

Therefore, a clear sense of ownership, communication and excellent problem solving skills are essential for good cross-domain communication and support.

• Develop, maintain and update ETL catalog.
• Build, maintain and update repeatable and trackable data pipelines.
• Collect, analyze and organize raw data in collections of datasets.
• Design databases and data stores for big datasets with performance considerations in mind.
• Collaborate with engineers and data scientists to develop and productize prototypes.
• Participate in architectural decisions regarding our data architecture.
• Participate in our Agile processes like planning and daily stand-up meetings.

• 3+ years of professional experience as a data engineer or in a similar role.
• Proven experience with Relational and No
  
  SQL data stores.
• Proven experience with data models, data mining, and segmentation techniques.
• Experience with big data tools, specifically Spark (preferably with Databricks).
• Experience with data pipeline / workflow orchestration tools (Azure Data Factory, Prefect).
• Experience with cloud compute frameworks like Azure Batch.
• Experience with Python.
• Experience with SQL query authoring.
• Experience with Git and collaborative development workflows.
• Experience with data manipulation and transformation using Pandas and/or Polars.
• Experience working with cross-functional teams in agile environments.
• Excellent verbal and written communication in English.
• Ability to provide clear and concise step-by-step technical help, verbally and in writing.
• Ability to interact effectively with audiences of varying technical backgrounds & seniority.

• BS/MS degree in Computer Science, Information Technology or a related field.
• Familiarity with Atlassian stack of tools(Jira, Jira service management & Confluence).
• Familiarity with microservices-based architectures.
• Familiarity with bioinformatics or life sciences data .
• Experience with Azure.
• Experience with Databricks Delta Lake.
• Familiarity with logging, monitoring, and debugging batch data workloads.
• Experience in Machine Learning or AI frameworks.
• Experience with handling GDPR concerns for data within the platform will be considered as an asset.

• Competitive compensation packages based on qualifications.
• Flexible work schedule.
• Professional and personal development opportunities.
• Private life & health insurance.
• Room to experiment, learn and have fun.
• Peers with big smiles and fascinating ideas.
• A multi-disciplinary, multinational team that values trust and autonomy.

If this sounds like the challenge you're looking for, we’d love to hear from you. Apply with your latest CV in English and let's build something amazing together!