Senior Software & Data Engineer, AdTech Platforms

Roku, Inc.

Manchester

Hybrid

GBP 85,000 - 125,000

Full time

14 days+

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Hybrid work model

Competitive compensation package

Global benefits

Job summary

Roku, Inc. in Manchester is seeking a highly skilled Senior Software Engineer for a hybrid role bridging software and data engineering.

You will architect and maintain production-grade data products and APIs using Java/Scala, SQL, Spark, Airflow, and Kubernetes to deliver reliable, high-performance solutions. You will collaborate with Finance, Accounting, and Analytics, drive data quality, and contribute to AI-powered initiatives to scale financial workflows and unlock insights from diverse data

Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.
8+ years of software and/or data engineering with expertise in big data technologies such as Apache Spark and Apache Airflow.
Advanced SQL skills with expertise in query optimisation for large datasets.
Expertise in developing APIs and robust backend services with Python, Java, and/or Scala.
Experience with cloud platforms such as AWS, GCP, or Azure, and containerisation tools like Docker and Kubernetes (preferred).
Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools such as Jenkins and Terraform (preferred).
Experience with building agentic AI systems to automate decision-making and enhance analytics workflows (preferred).
Experience in AdTech and advertising data platforms (preferred).

Responsibilities

Design and build APIs and backend services using Scala and Java to support financial automation and data products.
Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews.
Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
Optimise data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
Develop and fine-tune complex queries using Apache Spark for large-scale datasets.
Monitor, troubleshoot, and improve data systems to minimise downtime and maximise efficiency.
Partner with analytics, software engineering, 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.