DataOps Engineer

4 weeks ago


London, Greater London, United Kingdom Causaly Full time
About Causaly

Causaly is a cutting-edge technology company that 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. Our mission is to accelerate scientific breakthroughs for all humankind.

Job Description

We are seeking a talented Data Engineer with a passion for DataOps and a demonstrable background in SQL and Python-based automation. As a member of our Data & Semantic Technologies team, you will be responsible for delivering the scalable and highly flexible data fabric that is the foundation of Causaly's product suite.

You will join a multi-disciplinary team working in a fast-paced and collaborative environment, who value honest opinion and open debate. We are looking for someone with a problem-solving mindset, a hands-on attitude, and a passion for designing and building innovative solutions that leverage the value of data.

Key Responsibilities
  • Gather and understand data based on business requirements
  • Regularly import and transform big data from various formats to data stores like BigQuery and Neo4j
  • Process data further using SQL and/or Python, e.g., to sanitize fields, aggregate records, combine with external data sources
  • Work with other engineers on highly performant data pipelines and efficient data operations, adhering to industry best practices and technologies for scalability, fault tolerance, and reliability
  • Export data in well-defined target formats and schemata, ensure and validate data output and quality, produce corresponding reports and dashboards
  • Manage and improve legacy data pipelines in the cloud - enable other engineers to run them efficiently
  • Innovate on our data warehouse architecture and usage
  • Work directly with technical, product, and business stakeholders
  • Mentor and guide junior members, shape our technology strategy, and innovate on our data backbone
  • Collaborate with the DevOps team to help manage our infrastructure
Requirements
  • Significant industry experience working with SQL, automation, ETL, Linux
  • Proven database skills and experience with traditional RDBMS like MySQL as well as modern systems like BigQuery
  • Experience with data versioning, data-backup, and data-recovery strategies
  • Solid understanding of modern software-development practices (testing, version control, documentation, etc.) and hands-on coding experience in Python
  • Experience with cloud computing providers like GCP/AWS
  • Strong engineering background enabling rapid progression from ideation to proof-of-concept
  • A product and user-centric mindset
  • Excellent problem-solving, ownership, organizational skills, with high attention to detail and quality
Preferred Qualifications
  • Experience with more data-storage and retrieval technologies, such as ElasticSearch, data warehouses, NoSQL, Neo4j
  • Command-line and Linux scripting skills in production
  • Have utilised DevOps tools and practices to build and deploy software
  • Knowledge of Terraform, Kubernetes, and/or Docker Containers
  • Programming skills and experience in other languages, such as Node.js
Benefits
  • Competitive compensation package
  • Private medical insurance (underwritten on a medical health disregarded basis)
  • Life insurance (4 x salary)
  • Individual training/development budget through Learnerbly
  • Individual wellbeing budget through Juno
  • 25 days holiday plus public holidays and 1 day birthday leave per year
  • Hybrid working (home + office)
  • Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product
Why Causaly?

We are a company that values diversity, equity, and inclusion. 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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