Senior Data Platform Engineer, Causaly

Salary not provided
SQL
Docker
Kubernetes
Python
Elasticsearch
Airflow
Terraform
Hadoop
Spark
Pandas
BigQuery
Backbone
JSON
Senior level
London

3-5 days a week in office

Causaly

AI for biomedical cause & effect discovery

Open for applications

Causaly

AI for biomedical cause & effect discovery

101-200 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaS

Open for applications

Salary not provided
SQL
Docker
Kubernetes
Python
Elasticsearch
Airflow
Terraform
Hadoop
Spark
Pandas
BigQuery
Backbone
JSON
Senior level
London

3-5 days a week in office

101-200 employees

HealthcareB2BArtificial IntelligenceMachine LearningSaaS

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

  • Master’s degree in Computer Science, Mathematics or a related technical field
  • 5+ 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, version control, etc…)
  • A product and user-centric mindset
  • Excellent problem solving, ownership, organizational skills, high attention to detail and quality

Desirable

  • 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 production
  • Terraform, Kubernetes and or/Docker Containers

What the job involves

  • 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
  • We are looking for innovative engineers who are capable, talented, engaged and passionate about creating industry-strength architectures and solutions that unleash the value of data
  • We are a multi-disciplinary team working in a fast-paced and collaborative environment, who value honest opinion and open debate
  • You have a true 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? Then you should become part of our journey!
  • 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

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 headshot

Kirsty

Company Specialist

Insights

Strong hiring activity
Top investors

Many 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: $82.8m

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

Leadership

Trained as an Information Technology Consultant at Accenture before working in business development in Germany

Accomplished an M.Sc in Informatics from Edinburgh before working as an Instructor of Robotics at Nazarbayev University

Diversity & 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.

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