DataOps Engineer, Causaly
3-5 days a week in office
AI for biomedical cause & effect discovery
Open for applications
AI for biomedical cause & effect discovery
101-200 employees
Open for applications
3-5 days a week in office
101-200 employees
Company mission
Causaly’s mission is to accelerate the pace of human discovery in biomedicine and to power the research organizations of the world’s largest life sciences companies to accelerate their drug discovery and development programs.
Role
Who you are
- We are looking for talented Data Engineers with a passion for DataOps and a demonstrable background in SQL and Python-based automation
- You have a problem-solving mind-set with a hands-on attitude, you are keen to design and build innovative solutions that leverage the value of data, you are passionate and creative in your work, you love to share ideas with your team and can pick the right tool for the job?
- 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
Desirable
- 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
What the job involves
- You will join our Data & Semantic Technologies team, responsible for delivering the scalable and highly flexible data fabric that is the foundation of Causaly’s product suite
- This team is enabling and empowering new product developments as well as innovations in AI to create true business value
- You will be unleashing the value of data for our customers through building and operating automated data pipelines, feeding our constantly growing data warehouse and knowledge graph, evolving our data architectures, etc
- We are a multi-disciplinary team working in a fast-paced and collaborative environment, who value honest opinion and open debate
- 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
Salary benchmarks
Our take
Our generation’s repositories of human knowledge have become massive, and digital, which is why Causaly's solution to boost research productivity has received much acclaim.
Swiss Novartis is Causaly’s first customer, quickly followed by an array of pharma and biotech companies that are leveraging the platform to accelerate their execution.
The company collaborates with strong research labs on developing its Machine Learning algorithm, including UCL, King’s College London and AUEB’s NLP group.
The company's aim is to reach human performance for understanding single sentence causality, as well as to visualise this evidence with network graphs.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
36% female employees
52% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2023
$60m
SERIES B
May 2021
$17m
SERIES A
Total funding: $82.6m
Company benefits
- Personal Learning Budget
- Hybrid Working Environment
- Wellbeing Allowance
- Comprehensive Private Medical Insurance
- Pension Contribution
Company values
- Ownership - A sense of personal responsibility is our team’s superpower. We go above and beyond to deliver value to our colleagues, company and customers at pace, time and time again. We take the initiative to do more, better, every day. We put in 110%, even when no-one’s looking. We are dedicated team players, who own our actions and our mistakes.
- Perseverance - Growing a company 3x every year is hard. Very hard. Processes are constantly breaking. Change is frequent. It takes effort and grit. If there is no way forward, we make one. We push through setbacks with patience and determination. We stay focused no matter what happens, and challenge ourselves to always go the extra mile and reach our goals. We are tenacious problem solvers.
- Personal Growth - Every day, we strive to become better versions of ourselves. In every challenge, we see an opportunity to be faster, smarter, stronger. We are introspective. We are energised by a love of learning new things and applying ourselves to new situations and new challenges. We are restlessly curious and ask ‘why?’ and ‘so what?’ constantly. We’re relentless self-improvers.
- Fellowship - We are confident, but not arrogant. Honest, but not cynical. Hungry, but not selfish. Mutual respect and trust fuels our high-performing team. When we lean in, pull together and lift each other up, great things happen. We care about and inspire each other to be the very best we can be.
- Ambition - Exceptional results require extraordinary ambition. We tirelessly pursue our mission. We set obsessively high standards and continue to raise the bar. We never stop innovating. We respectfully challenge existing solutions when we see a new angle to an old problem. We don't believe good enough is ever good enough.
Company HQ
Holborn, London, UK
Articles
Leadership
Yiannis Kiachopoulos
(CEO)Trained as an Information Technology Consultant at Accenture before working in business development in Germany
Artur Saudabayev
(CTO)Accomplished an M.Sc in Informatics from Edinburgh before working as an Instructor of Robotics at Nazarbayev University
Diversity, Equity & Inclusion at Causaly
Dan Atkinson (VP People)
- 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.
Share this job
View 12 more jobs at Causaly