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Senior Data Engineer

Date: Feb 2, 2023

Location: London, GB, SE1 9PG Dhaka, BD, 1213 BD

Company: Optimizely

Optimizely is known for content, commerce, and optimization with our Digital Experience Platform (DXP). Millions of experiences are served with our platform every single day, helping organizations grow exponentially online. We have the honor of serving some incredible customers – which makes what we do extremely rewarding. Optimizely has over 9,000 brands, from global organizations such as Visa, Sky, Yamaha, and 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: we exceeded $300M in revenue in 2020, is profitable already, and have all strategic options ahead of us. 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, Bangladesh, UAE, Singapore, and Vietnam. We blend European and American business cultures, emphasizing teamwork, inclusion, and moving fast. People make a difference!


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





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

This team emerged as a result of the acquisition of two start-ups (Peerius and Idio) that provided personalization products for e-commerce and content. Over the past years, the consolidated company has improved customers' lives such as Intel, HP, Fitch Ratings, Sainsbury’s, and many other brands. Episerver’s acquisition of Optimizely has paved the way for interactions between data-driven experimentation and AI.

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

The team is remotely located within CET +/- 1 hour and works Monday through Friday.


Job Responsibilities

Your main responsibility is to help the Data Science team to maintain and extend the 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. Other responsibilities include: 

  • Develop and ship medium to large features independently or with minimal support from other team members
  • Architect, design and implement reliable and scalable data infrastructures
  • Support other team members by providing technical guidance and active mentoring
  • Effectively work with cross-disciplinary team members and stakeholders
  • Apply data engineering best practices


To apply for this role, you will need to demonstrate most of the following:

  • 3+ years hands-on experience in a development team
  • Experience with Python or Scala (Python preferably)
  • Experience in designing and implementing data engineering systems
  • Experience with cloud computing infrastructure (AWS/Azure/GCP)
  • Experience in DevOps and containers (mainly Docker; Kubernetes is a plus)
  • Experience with data processing pipeline frameworks (e.g., Luigi or Airflow)
  • Experience with source control tools (GitHub/GitLab)
  • Ability to work in an inclusive environment and share our values
  • Good communication skills
  • Continuous learning and improvement mindset

Bonus Points

You will get bonus points if you have experience with the following, but otherwise, these are skills you are likely to learn in this role:

  • Understanding of the ML development life cycle and/or prior experience working with teams of Data Scientists or ML Engineers
  • Hands-on experience in configuring and monitoring CI/CD platforms (GitHub Actions preferably)
  • Experience with a parallel data processing engine such as PySpark/Spark or similar cloud services
  • Experience with Infrastructure as Code (Terraform preferably)
  • Experience with functional programming concepts and architecture
  • Experience with stream processing


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


  • Driving Continuous Improvement
  • Driving for Results
  • Driving Projects to Completion
  • Interacting with People at Different Levels
  • Using Computers and Technology
  • Communicating Effectively
  • Displaying Technical Expertise
  • Developing Talent
  • Prioritizing and Organizing Work

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.