Senior Data Engineer
Date: Nov 16, 2025
Location: London, GB, WC2N 4JS
Company: Optimizely
At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.
We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.
At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.
Join us and become part of a company that's empowering people to unlock their digital potential!
Introduction
As Senior Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, 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 design and development of the Data platform using, but not limited to, AWS technologies, Airflow and Snowflake to deliver Reporting, BI and Analytics solutions. You will be working 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 DBT, SQL, Snowflake and AWS/GCP ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Assist the data science team by preparing data for prescriptive and predictive modelling
- Collaborating with the data architects, 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 modeling, data warehousing, and building ETL pipelines
- Experience in SQL
- Experience with building data pipelines and applications to stream and process datasets
- Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
- Knowledge of Engineering and Operational Excellence using standard methodologies.
- Expertise in designing systems and workflows for handling Big data volumes
- 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.
- Experience working with AWS Big Data Technologies (EMR, Redshift, S3)
Education
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent
Competencies
Our culture is the most important thing we offer. We continuously aim to provide a high-growth space, both virtually and in person, where you can do your best work and, in the process, unlock your boundless potential. We are dedicated to providing meaningful rewards and development opportunities for our employees, recognizing performance and creating a supportive working environment.
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.
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