Backend Product Engineer

hace 6 meses

Valencia, España Datamaran A tiempo completo

**Senior Backend Product Engineer (Python)**

**Valencia, Spain - Hybrid**

We are Datamaran: a fast-paced, energetic and high-growth technology company.

Datamaran is the only software analytics platform in the world that identifies and monitors external risks, including ESG. Trusted by blue-chip companies and top tier partners, it brings a data-driven business process for external risk and materiality analysis. In house - at any time. At Datamaran our mission is to positively impact the world by helping corporations to have a robust sustainability strategy with our SaaS platform. Literally, the software helps our clients to make the world a better place with ESG strategy decision-making Now, we need you to help to accelerate this transformation.

Our eclectic team of talented individuals represent over 25 nationalities, with 50% of our leaders being female. Datamaran is a fully digital and distributed company, already with over 100 members of staff working across the globe, with offices in London, Valencia, New York and the Netherlands.
- Such a unique mix makes Datamaran a unique, collaborative and ambitious workplace._

The growing and dynamic Datamaran engineering team is looking for a seasoned Backend Python Developer with a T-shaped background, with expertise in Python’s frameworks, such as FastAPI. As we are a company that uses the latest trending AI solutions, an appetite for machine learning (especially LLM like ChatGPT) will be a perfect match.

**Responsibilities**
- Consider tradeoffs when designing and implementing features in backend systems.
- Work closely with Frontend developers, Product manager and other roles engineers in the Agile team members to develop and implement new features.
- Mentor developers on back-end development best practices and industry-standard engineering practices.
- Contribute to product discovery phases, bring invaluable insights regarding user-needs and potential solutions.

**A one thousand feet view of our tech stack**:

- Our data stores include ElasticSearch and MongodB and are evaluating bringing in SQL based and vector databases
- Our server side and data pipelines are built in Python and FastAPI
- Everything is hosted on AWS, on EC2 or in lambda functions
- Our data pipelines are primarily centered around analysing textual data, looking for patterns inside the narrative of long texts (Reports, international regulations, news articles,)

**Requirements**:

- A Bachelor’s degree in Computer Science or a related field
- 3+ years of experience in backend
- Master Python, including common API frameworks (eg FastAPI) and libraries (eg pandas)
- Some experience working in the frontend area and willingness to participate in frontend work when required
- Familiarity with AWS environment, as well as unix/linux
- Good understanding of development best practices, such as SOLID, testing, CI/CD
- Fluent in English

**Bonus points**
- Experience in Vue.js or similar frontend framework
- Proven experience with Machine Learning tools in Python (pandas, spacy, langchain, etc)
- Knowledge of architecture concepts like MVC, CQRS and DDD
- Experience with relational databases, as well as MongoDB and/or ElasticSearch
- Airflow (ideally version 2)
- Data processing pipelines

**Note to recruiters**:
Thank you for your ongoing interest in Datamaran but there is no need reach out to the Hiring Team, HR, Recruiting.... We receive hundreds of approaches from recruiters but would confirm here that we are all set. We will continue to scale Datamaran successfully through our internal recruiting team and team initiatives. We appreciate your cooperation

**Benefits**
- A highly competitive salary
- Flexible hours
- Hybrid working, with typically circa 3 days with the team in the Valencia hub
- 11€ per day meal-allowance + food and snacks at the office (and paellas)
- Private health
- Private pension (company doubles your saving)
- Best equipment: choose between Mac or Linux
- Frequent training, budget for conferences, OReilly subscription
- Access to Urban Sports
- International environment (over 25 nationalities), with 50% of our leaders being women, and almost 50% of our tech team too
- Working in a climate-tech company, helping corporations to identify ESG risks

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