DataOps Engineer

August 3

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Causaly

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Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine.

Artificial Intelligence • Natural Language Understanding • Knowledge graphs • Pharma • Life Sciences

51 - 200

💰 Venture Round on 2022-10

Description

• Gather and understand data based on business requirements • Regularly import and transform big data (millions of records) from various formats (e.g. CSV, SQL, JSON) to data stores like BigQuery and Neo4j • Process data further using SQL and/or Python, e.g., to sanitise fields, aggregate records, combine with external data sources • Work with other engineers on highly performant data pipelines and efficient data operations, adhering to the industry’s 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 a multitude of 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

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