Data Engineer (SQL/ETL/Cloud) (Greece)

About us

Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine. We enable researchers and decision-makers to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources... in minutes. Using our AI technology, we are developing the world’s biggest knowledge platform in Biomedicine powered by a high-precision Knowledge Graph.

We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. For example, read how Causaly is used in Target Identification here: AI-supported-target-identification-for-systemic-lupus-erythematosus.

We are backed by top VCs including Index Ventures, Pentech and Marathon.

What we are looking for

We are looking for a Data Engineer to join our AI team. In this role, the lead data engineer will:

• Gather and understand data based on business requirements.
• Import big data (millions of records) from various formats (e.g. CSV, XML, SQL, JSON) to BigQuery.
• Process data on BigQuery using SQL, i.e. sanitize fields, aggregate records, combine with external data sources.
• Implement and maintain highly performant data pipelines with the industry’s best practices and technologies for scalability, fault tolerance and reliability.
• Build the necessary tools for monitoring, auditing, exporting and gleaning insights from our data pipelines
• Work with multiple stakeholders including software, machine learning, NLP and knowledge engineers, data curation specialists, and product owners to ensure all teams have a good understanding of the data and are using them in the right way.
• Manage backend data processes related to data delivery, curation and machine learning operations

Requirements

Minimum Requirements

At a bare minimum, successful candidates will have:

• Master’s degree in Computer Science, Mathematics or a related technical field
• 3+ years experience in backend data processing and data pipelines
• Excellent knowledge of Python and related libraries for working with data (e.g. pandas, Airflow)
• Excellent SQL and database skills
• Solid understanding of modern software development practices (testing, version control, documentation, etc…)
• Excellent knowledge of data processing principles
• A product and user-centric mindset
• Proficiency in Git version control
• Excellent problem solving, ownership, organizational skills, high attention to detail and quality
• Excellent knowledge of verbal and written English

Bonus Requirements

Any of the following requirements will be considered a plus:

• Experience with NoSQL and big data technologies (e.g. Spark, Hadoop)
• Experience working with Full-Text search databases, such as ElasticSearch
• Experience with Knowledge Graphs and graph databases, such as Neo4J
• Experience with MLOps and machine learning in production
• Knowledge of Terraform, Kubernetes and or/Docker Containers
• Experience with cloud computing providers (especially GCP or AWS)
• UNIX scripting skills
• Experience with TypeScript or JavaScript

Benefits

• Competitive Salary (see below)
• Hybrid working (home + office)
• Apple or Dell equipment (based on your OS preference)
• Annual training budget for professional development (e.g. books, video tutorials)
• Excessive sick-leave package
• Plenty of opportunity to take on more responsibility as we grow
• Be part of a multinational, diverse and exceptional team to build a transformative knowledge product that has real impact
• Annual team retreat to secret destination

The salary we offer is based on skills, professional experience and team fit. The applicant will be required to prove their qualifications via interview and written assignment.

Causaly welcomes applications from all backgrounds. We are committed to diversity regardless of gender, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.