On behalf of Eagle Genomics, GT is looking for an inspired Data Engineer to join their engineering team building products in the fields of microbiology, sustainable agriculture, food, personal care, and cosmetics, using the latest technologies to enable data-driven discovery.
Digitally reinventing life sciences to solve some of the grand challenges of our age.
Eagle Genomics is a pioneering company working at the intersection of two exciting areas: life sciences and data science. Their AI-augmented platform is revolutionizing how scientists conduct life sciences research and is bridging the gap between data and new insights in a rapid, systematic, and traceable way. They are putting data science at the fingertips of biologists to drastically reduce the time and cost of research, enabling customers to achieve radical productivity improvements and true data-driven discovery. They are also partnering with research leaders such as the Earlham Institute to bring together open science and commercial R&D to benefit society.
If you're passionate about data, algorithms, ML/AI, graph technology, and innovations, join the team and help us change what it means to do real science and drive innovations.
Project duration: 6 months.
What you will love about Eagle Genomics:
- Working for impact. Teaming up with smart and engaging people united by a shared purpose.
- Collaborating with industry-shaping clients to tackle complex, real-world challenges, sparking discoveries that impact the world around us.
- Be an active part of our growth story with the freedom to test, learn, experiment, and explore new ideas.
- Openness. Our monthly All Hands meetings bring our global teams together and encourage discussion.
- The opportunity to lead, learn and grow with continuous encouragement, professional development, and support.
Flexible working:
Our roles offer flexible working practices that support your, and the team’s, best delivery. We have co-working spaces in London, Cambridge, Berlin, Paris, Kyiv, Manhattan, and Hyderabad.
Diversity, equity & inclusion:
We strive to create and foster a working environment where everyone is free to be themselves. A commitment to diversity, equity and inclusion is in our DNA and spans everything we do, including our recruitment process.
You will need:
- Looking for an overall experience of 5 + years.
- Looking for minimum 2 to 4 years of experience in ETL/ELT tools.
- Looking for minimum 1 to 2 years of experience with Azure data factory, data lake, data bricks, azure functions, OR equivalent cloud concepts.
- Hands-on Experience in various data management libraries with related languages like python, Scala, R or any scripting language(s).
- Knowledge of design concepts towards design patterns and data modelling.
- Experience in data ingest, transform, and onboard the identified data sources with data pipelines.
- Experience in delivery and deployment of data pipelines.
- Experience in database technologies like Graph DB or Relational database to deliver the schema and data retrieval.
- Have strong communication, analytical and interpersonal skills.
- Experience in writing automated tests and testable code.
- Experience user of GIT/GITHUB repository.
A bonus if you have:
- Knowledge of Docker or Kubernetes.
- Knowledge of Microservices architecture.
- Experience of working in an Agile environment, particularly Scrum, and JIRA.
We go beyond usual perks… By working with us, you will get:
- Monthly education allowance for courses, training, books, and events.
- Lunches coverage.
- Mentorship club from GT executives.
- Lectures from experts.
- Vacation (18 working days a year), and sick leaves.
- Health insurance.
Working Model:
GT builds remote engineering teams for outstanding product companies. Our future mate will work directly with Eagle Genomics. We call this the ‘Extended Team model’, and it means that each team member is integrated as deeply as possible into the client's team. You will work with the same tools and technologies as they do and communicate directly with a client without any intermediary in between. We also encourage trips to a client and joint teambuilding and after-work activities.