Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry by helping customers deliver more personalized and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.
Olo is looking for a Senior Data Engineer to help analyze, define and implement our enterprise data platform and the processes that build it. Reporting to the Data Engineering Manager, you will collaborate closely with cross-functional teams, including analytics, product, and external customer stakeholders. You will design, implement, and optimize robust data workflows that enable our customers and internal teams to make smarter, faster decisions.. This is more than a data engineering role—it’s an opportunity to shape the future of how businesses and consumers interact. By joining our team, you’ll be contributing to innovative solutions that provide a unified view of guest transactions across online and offline channels. Your work will not only be integral to Olo’s strategic initiatives but could also redefine industry standards in digital commerce. This is your chance to work on projects that are not just exciting but have the potential to make a lasting impact.
This position is fully remote and allows you to work from anywhere within the United Kingdom.
You will be contracted to Olo through Deel, our Employer of Record. An Employer of Record (EOR) is an organization hired by companies to handle the legal and administrative responsibilities of employing staff, often in countries where the company might not have a local presence. Here’s an easy way to think of it: You work for Olo in a practical sense, completing your assigned role. The EOR is your formal employer, meaning the EOR takes care of all the administrative and legal responsibilities for your employment. In line with this arrangement, you maintain your day-to-day relationship with Olo, and Deel will be your point of contact for any job-related matters of your engagement. Moreover, you’ll retain all the employment rights you typically have under local employment law when you’re hired through an EOR, and you will be eligible for private healthcare coverage in addition to being able to participate in all statutorily required benefits and pension programs.
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What You'll Do- Apply advanced knowledge of Data Engineering principles, methodologies, and techniques to design and implement data loading and aggregation frameworks across broad areas of the corporation.
- Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
- Implement and optimize data solutions in enterprise data warehouses and big data repositories, leveraging distributed processing systems such as Snowflake or Databricks.
- Design and develop robust data solutions utilizing Kimball data modeling techniques to support scalable analytics and external data products.
- Develop, test, and maintain data pipelines using Python and dbt (data build tool) for data transformation and modeling tasks.
- Work closely with product managers and stakeholders to deliver high-quality, external-facing data products, not just internal reporting.
- Understand and enforce appropriate data master management techniques.
- Lead the implementation of tools and frameworks for automating the identification of data quality issues.
- Understand the challenges that the analytics organization faces in their day-to-day work, and partners with them to design viable data solutions.
- Provide subject matter expertise and guidance for internal and external customers.
- Play a lead role in planning, providing advice and guidance, mentoring less experienced engineers, and monitoring emerging technologies.
- Recommend improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.
What We'll Expect From You- 5+ years of experience in data engineering, with a focus on data warehousing, ETL/ELT pipelines, and data modeling.
- Proven experience in designing and implementing data warehouses using the Kimball dimensional modeling methodology.
- Strong proficiency in Python for data processing and automation.
- Hands-on experience with dbt for data transformation and testing within the data warehouse environment.
- Experience with Amazon Web Services (AWS) for data storage, processing, and analytics services.
- Experience working on data products designed for external customers is highly desired.
- Experience with Customer Data Platforms (CDP) is a significant bonus.
- Familiarity with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, CloudFormation) is a bonus.
- Ability to participate in an on-call rotation to support data platform operations and incident response.
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About Olo
Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 700 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.
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