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Senior Data Engineer

Date: Mar 2, 2023

Location: 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 the 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...


As a Senior Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modelling, ETL, and Reporting), infrastructure (e.g. hardware and software), and their integration. You will be responsible for collecting data from multiple sources and building optimal pipelines to process & leverage the data to meet various business requirements. You will be responsible for the execution of our data strategy through the design and development of the data platform using, but not limited to, AWS technologies, dbt, Kubernetes, Airflow, and Snowflake to deliver Reporting, BI, and Analytics solutions. You will work closely with business and technical stakeholders to aggregate, analyze & transform data to report insights.

Job Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble, analyze, and organize large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, Snowflake, and AWS.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
  • Collaborating with the data architects, engineers, analysts, and scientists on the team.

Knowledge and Experience

  • 5+ years of experience as a Data Engineer or in a similar role.
  • Experience with data modelling, data warehousing, and building ETL pipelines.
  • Experience and proficiency in SQL & Python.
  • Extensive experience with building, testing, and deploying dbt models.
  • Experience working with AWS Big Data Technologies (S3, MWAA, ECR, ECS) and Snowflake.
  • Good to have: experience using Terraform and Kubernetes.
  • Knowledge of Engineering and Operational Excellence using standard methodologies.
  • Knowledge of CI/CD concepts
  • Knowledge of data management fundamentals and data storage principles
  • Strong problem-solving skills and ability to prioritize conflicting requirements.
  • Excellent written and verbal communication skills and ability to succinctly summarize key findings.


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

Why you'll love working here

Our culture is the most important thing we offer. We continuously aim to provide a high-growth space where you can do your best work and, in the process, unlock your boundless potential. We work hard to provide meaningful rewards and development opportunities for our employees, recognizing performance and creating a supportive working environment. You'll also get:

  • Best-in-class compensation plans
  • Two annual festival bonuses
  • Reward and recognition programs
  • Paid Maternity (16 weeks) & Paternity Leave (12 weeks)
  • Unlimited vacation days and flexible working hours in a hybrid environment
  • Medical & life insurance for employees and dependents
  • Volunteering and opportunities to give back
  • Monthly and quarterly regional and global team-building events
  • Chance to work with our incredible global team all over the world
  • Communal transport facilities inside Dhaka and free catered lunch when we return to office
  • An agile performance review process that encourages ongoing transparency between managers and direct reports
  • Enablement program and soft skill training to support internal career growth and development
  • A free “Hacking day” per month for self-studying and researching any IT-related subjects
  • An annual performance-based increment


We currently work from home; however, we plan to return to the office by early Q2, 2023.




At Optimizely, our standardized language is English, and it is crucial to have good English communication skills to be successful in your global role. All our external and cross-location communication is done in US English (en-us), but internally you can speak in whichever native language you most identify with.


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