Share this Job

Senior Cloud Data Engineer

Date: Jul 23, 2022

Location: Amsterdam, NL, 102 KE

Company: Optimizely

Optimizely is focused on unlocking digital potential and we are the recognized category leader in Digital Experience Platform (DXP) and created the category for A/B Testing and experimentation software. We have incredible customers – isn’t that one of the most important aspects of looking for your next job? Optimizely has over 9,000 brands from global organizations such as Visa, Sky, Yamaha, Wall Street Journal to tech innovators like Atlassian, DocuSign, FitBit and Zillow.

 

Not only are we financially sound and growing but we have unicorn status: Exceeded $300M in revenue in 2020, is profitable already, and has all strategic options ahead of itself. Optimizely continues to invest and addresses a market opportunity north of $30 billion, providing significant personal career growth opportunities.

 

We are an inclusive culture with a global team of 1200+ people across the US, Europe, Australia, and Vietnam. We blend European and American business culture with emphasis on teamwork, inclusion, and moving fast. People make the difference!

 

If you are looking to work on the next generation of digital technologies in a fast-paced, hyper-growth environment, apply! We’re just getting started...

Introduction

Our data science team harnesses big data, natural language processing, and machine learning to help create next generation products for Episerver’s CMS and e-commerce platforms.

Optimizely's data science team emerged as a result of the acquisition of two start-ups (Peerius and Idio) that provided personalisation products for e-commerce and content. Over the past years, the consolidated company has improved the lives of customers for brands such as Intel, HP, Fitch Ratings, Sainsbury’s and many other brands. Recently, Episerver’s acquisition of Optimizely will pave the way of the interactions between data-driven experimentation and AI. We are a truly global company and have offices in most continents.

The job post available is within a team whose primary focus lies in the areas of: Natural Language Processing (NLP), Machine Learning (ML), Recommendation Systems (RS). Our stack employs a variety of technologies, including (i) code written in Python & Scala &, (ii) data pipelines using Spark, Luigi, Kubernetes and Terraform, (iii) prototyping deep learning and classic ML solutions using Gensim, PyTorch, TensorFlow, and scikit-learn.

Job Responsibilities

Your main responsibility is to help the Data Science team to maintain and extend data processing pipelines related to Natural Language Processing (NLP) and Recommender Systems (RecSys). You will touch codebases written in Python and Scala that interact with our provisioning infrastructure that uses Docker, Kubernetes and Terraform.

  • In order to apply for this role, you will need to demonstrate the following:
  • Intermediate understanding of Python
  • Experience in DevOps and containers (Docker, Kubernetes)
  • Experience with Infrastructure as Code (Terraform / Pulimi)
  • Experience with cloud computing infrastructure (AWS / Azure / GCP)
  • At least 3 years of experience in a development team
  • Experience with source control tools (GitHub/GitLab)

 

You will get bonus points if you are able to demonstrate any of the following:

  • Experience with data processing pipeline frameworks, such as Luigi, Airflow, Pinball or other
  • Experience with a parallel data processing engine such as PySpark / Spark or cloud services such as Amazon EMR, Google Cloud Dataproc or Azure HDInsight
  • Experience working with teams of Data Scientists or ML Engineers
  • Experience with functional programming concepts and architecture
  • Experience with stream processing

Knowledge and Experience

Education

Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent

Competencies

Driving Continuous Improvement
Driving for Results
Driving Projects to Completion
Interacting with People at Different Levels
Using Computers and Technology

Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

 

#LI-TW1

#LI-Remote