At a Glance
- Tasks: Design and build APIs, develop data pipelines, and collaborate on high-impact analytics solutions.
- Company: Join Roku's innovative Ads Analytics team driving advertising measurement and insights.
- Benefits: Enjoy comprehensive benefits including mental health support, healthcare, and flexible time off.
- Other info: Dynamic work environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact in advertising tech while working with cutting-edge big data technologies.
- Qualifications: 8+ years in software/data engineering, expertise in Apache Spark, Airflow, and strong programming skills.
The predicted salary is between 70000 - 90000 € per year.
About the Team
The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision‑making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high‑impact solutions. Looking ahead, we are exploring AI‑driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the Role
We are seeking a highly skilled Senior Software Engineer with deep expertise in API Development using Spring Boot and knowledge of Apache Spark‑based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large‑scale data processing. You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross‑functional teams to architect and manage robust, production‑grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high‑performance solutions. The ideal candidate is a proactive, self‑motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results.
What You’ll Be Doing
- Software Development: Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.
- Big Data Engineering: Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. Develop and fine‑tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large‑scale datasets. Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
- Collaboration & Mentorship: Partner with data scientists, software engineers, and other teams to deliver integrated, high‑quality solutions. Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re Excited If You Have
- 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow.
- Expertise with at least one of the following: Apache Druid, StarRocks, Trino.
- Strong understanding of SOLID principles and distributed systems architecture.
- Proven experience in distributed data processing, data warehousing, and real‑time data pipelines.
- Strong programming skills in Java, Python, or Scala.
- Advanced SQL skills, with expertise in query optimization for large datasets.
- Expertise in data modeling, schema design, and data visualization tools.
- Experience building highly scalable, low‑latency, APIs.
- Exceptional problem‑solving abilities and the capacity to work both independently and collaboratively as needed.
- Exceptional verbal and written communication skills.
- Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes.
- Experience in AdTech, advertising data platforms and campaign measurement.
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure‑as‑code tools such as Terraform.
- Experience with building Agentic AI systems to automate decision‑making and enhance analytics workflows.
- Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience).
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. Not every benefit is available in all locations or for every role. For details specific to your location, please consult your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
Senior Software Engineer (Advertising Analytics) in Cambridge employer: Roku, Inc.
Roku is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Ads Analytics team. Employees benefit from a comprehensive range of perks, including mental health support, flexible leave policies, and opportunities for professional growth through mentorship and cross-functional collaboration. With a focus on cutting-edge technologies and a commitment to employee well-being, Roku provides a rewarding environment for those looking to make a significant impact in the advertising analytics space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Advertising Analytics) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving API development or big data technologies. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in advertising analytics. Practice common coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Roku.
We think you need these skills to ace Senior Software Engineer (Advertising Analytics) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with API development and big data technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Spring Boot, Apache Spark, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our Ads Analytics team. We love seeing passion and personality, so let that come through!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems or optimised systems. We’re looking for proactive individuals who can demonstrate their ability to think critically and deliver high-quality solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Roku, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Spring Boot, Apache Spark, and Airflow. Brush up on your knowledge of API development and big data pipelines, as you’ll likely be asked to discuss your experience with these tools during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about challenges you've faced in software or data engineering and how you approached them. This will demonstrate your analytical thinking and ability to deliver high-quality solutions.
✨Collaboration is Key
Since this role involves working closely with cross-functional teams, be ready to discuss your experience collaborating with others. Highlight any mentorship roles you've taken on and how you’ve contributed to team success. This shows that you can communicate effectively and work well in a team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and their future goals, especially regarding AI-driven measurement capabilities. This not only shows your interest in the role but also helps you gauge if the company aligns with your career aspirations.
