About us
Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine.
Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources… in minutes.
We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence.
About the role:
We are looking for a Senior Data Engineer with experience in data pipelines, backend architectures, ETL, cloud and other related fields.
You will join and help to grow our established Data & Semantic Technologies team.
This team is responsible for designing & building the highly scalable and flexible data backend that we need at Causaly in order to make our vision become real.
You will be working on incremental data pipelines supporting batch as well as targeted updates, grow and maintain massive knowledge graphs and ontologies, feed our constantly growing data warehouse, and so on.
You will enable & empower the Applied AI and Application teams, and be responsible for linking their outcomes in order to create true business value.
What you can expect to work on: 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 further on BigQuery and 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 directly with a multitude of technical, product and business stakeholders.Manage and maintain backend data processes related to data delivery, curation and machine learning operations.Help to build a strong data-engineering function, mentor and guide other engineers, shape our technology strategy and innovate on our data backbone.Minimum Requirements Successful candidates will have:
Master's degree in Computer Science, Mathematics or a related technical field5+ years experience in backend data processing and data pipelinesExcellent knowledge of Python and related libraries for working with data (e.g.
pandas, Airflow)Excellent SQL and database skillsSolid understanding of modern software development practices (testing, version control, documentation, etc…)A product and user-centric mindsetExcellent problem solving, ownership, organizational skills, high attention to detail and qualityPreferred Qualifications Any experience of the following will be considered a plus:
NoSQL and big data technologies (e.g.
Spark, Hadoop)Full-text search databases (e.g., ElasticSearch)Knowledge graphs and graph databases (e.g., Neo4J)MLOps / DataOps in productionTerraform, Kubernetes and/or Docker ContainersBe yourself at Causaly...
Difference is valued.
Everyone belongs.
Diversity.
Equity.
Inclusion.
They are more than words at Causaly.
It's how we work together.
It's how we build teams.
It's how we grow leaders.
It's what we nurture and celebrate.
It's what helps us innovate.
It's what helps us connect with the customers and communities we serve.
We are on a mission to accelerate scientific breakthroughs for ALL humankind and we are proud to be an equal opportunity employer.
We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
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