Data Engineer

Company Description

NOWATCH is an Amsterdam-based health innovation company for the curious. By blending cutting-edge technology with the leading science around mental health, we explore the frontiers of wellbeing. The NOWATCH Awareable is our flagship product, and the first step on our

journey towards helping people recover from stress quickly and enjoy more meaningful lives – because Time is NOW.

NOWATCH pioneers in the wearable market with new algorithms and sensors. Our hardware and software solution is part of a large and growing wearable industry. NOWATCH is backed by strong investors with teams in Amsterdam (NL), Oulu (Finland), Santa Barbara (USA), Djapur (INDIA).

For more information, visit www.nowatch.com.

Job Description -
Data Engineer

We are looking for our new Data Engineer, who will become part of our team and work directly with our team in Amsterdam. 

You are responsible for designing, building, and optimising systems for data collection, storage, access, and analytics at scale. You should have strong programming skills with experience handling and managing large datasets. If you’re proactive, love tech, and are

comfortable with multidisciplinary work, we would love to hear from you. You will have the opportunity to work in a great office environment located in the heart of Amsterdam. Being surrounded by ambitious young professionals is what makes you want to be part of NOWATCH’s great culture.

Key responsibilities

• Develop, construct, test, and maintain data pipelines and data infrastructure.
• Optimizing data acquisition and processes.
• Identify ways to improve data reliability, efficiency, and quality.
• Collaborate with cross-functional teams to understand their data requirements and ensure the data pipelines meet their needs.
• Prepare data for predictive and prescriptive modeling,
• Responsible for building algorithms for accessing and processing raw data.
• Monitor and maintain the performance and scalability of the data pipelines and systems.
• Create and maintain documentation for data systems, processes, and protocols.
• Participate in code reviews and contribute to the development of best practices and standards for data infrastructure and pipeline development.

Requirements

• Advanced degree in data science, statistics, computer science, or relevant experience
• At least 3 years of professional experience, having demonstrated significant responsibility and seniority in your previous roles.
• Excellent skills in data cleaning, manipulation, and transformation.
• Very strong programming skills in Python, with fluency in relevant Python libraries (e.g. Numpy, Pandas, Scikit-Learn, Scipy).
• Experience with data storage solutions for time series data, specifically relational databases.
• You are highly experienced with cloud computing platforms (AWS).
• Experience building ETL jobs, which is currently building and maintaining data pipelines using our SaaS solutions.
• Experience with CI/CD methods (DevOps, Git).
• Based in Amsterdam, The Netherlands.