Data Engineer, Ads Auction Platform at Roku. About the role Roku is seeking a talented Data Engineer to join our Ads Auction Platform team in Cambridge, United Kingdom. In this role, you will be instrumental in developing and optimizing data pipelines that support our advertising initiatives. You will work closely with cross-functional teams to ensure that our data infrastructure is robust and scalable, enabling us to deliver high-quality advertising solutions to our clients. This position offers a unique opportunity to contribute to a dynamic team that is at the forefront of digital advertising technology.

Key facts

- Location: Cambridge, United Kingdom
- Engagement: Full time
- Salary: Competitive, commensurate with experience
- Visa: Sponsorship available for qualified candidates

What you’ll do

- Design, build, and maintain scalable data pipelines that process large volumes of data from various sources, ensuring data integrity and reliability.
- Collaborate with data scientists and analysts to understand their data needs and provide them with the necessary tools and infrastructure to perform their analyses.
- Optimize existing data workflows to improve performance and reduce latency, ensuring timely access to critical advertising data.
- Implement data quality checks and monitoring systems to identify and resolve data discrepancies proactively.
- Work with cloud-based technologies to deploy and manage data solutions, leveraging platforms such as AWS or Google Cloud.
- Develop and maintain documentation for data processes, ensuring that team members have access to clear and concise information about data flows and structures.
- Participate in code reviews and contribute to best practices in data engineering, fostering a culture of continuous improvement within the team.




- Stay up-to-date with industry trends and emerging technologies in data engineering and advertising, applying this knowledge to enhance our platform.
- Collaborate with the product team to understand business requirements and translate them into technical specifications for data solutions.
- Assist in troubleshooting and resolving data-related issues, providing timely support to internal stakeholders.
- Mentor junior team members, sharing your expertise and helping to develop their skills in data engineering.
- Engage in cross-team projects, contributing your data engineering expertise to enhance overall product offerings.

Requirements

- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- A minimum of 3 years of experience in data engineering or a similar role, with a proven track record of building and maintaining data pipelines.
- Proficiency in programming languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Kafka.
- Strong understanding of SQL and experience with relational databases, as well as familiarity with NoSQL databases.
- Experience with cloud platforms (AWS, Google Cloud, or Azure) and their data services, including data storage and processing solutions.
- Knowledge of data modeling, ETL processes, and data warehousing concepts.




- Excellent problem-solving skills and the ability to work independently as well as collaboratively within a team.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Nice to have

- Experience with machine learning frameworks and libraries, such as TensorFlow or PyTorch.
- Familiarity with data visualization tools like Tableau or Looker, enabling you to present data insights effectively.
- Knowledge of advertising technologies and metrics, particularly in the context of digital advertising and auction systems.
- Experience with containerization technologies such as Docker or Kubernetes for deploying data solutions.
- Familiarity with Agile methodologies and experience working in an Agile development environment.

Skills & tools

- Programming Languages: Python, Java, Scala.
- Data Processing Frameworks: Apache Spark, Apache Kafka.
- Databases: SQL, NoSQL (e.g., MongoDB, Cassandra).
- Cloud Platforms: AWS, Google Cloud, Azure.
- Data Visualization: Tableau, Looker.
- Containerization: Docker, Kubernetes.

Practical notes

- This role is based in Cambridge, United Kingdom, and may require occasional travel for team meetings or conferences.
- The salary for this position is competitive and will be determined based on your experience and qualifications.
- Roku is committed to fostering a diverse and inclusive workplace, and we encourage applications from individuals of all backgrounds.
- Candidates requiring visa sponsorship should indicate this in their application.

Join Roku and be part of a team that is transforming the way people experience entertainment through innovative advertising solutions.

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📌 Data Engineer, Ads Auction Platform (Cambridge)
🏢 Roku
📍 Cambridge