Senior Data & Backend Engineer - AI-Powered Pipelines

Coding Black Females Ltd

Manchester

Hybrid

GBP 90,000 - 130,000

Full time

13 days ago
Application generator

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Job summary

Roku is seeking a Senior Software Engineer for a hybrid role that bridges software and data engineering. You will design, build, and maintain scalable systems for application development and large-scale data processing, architecting production-grade data products and APIs using Java/Scala, SQL, Spark, Airflow, and Kubernetes.

You will collaborate with Finance, Accounting, Analytics, and engineering teams to translate business requirements into robust solutions, while driving data quality and

Qualifications

  • 8+ years of experience in 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 strong programming skills in Python, Java, and/or Scala.

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.
  • 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.

Skills

Scala
Java
Python
SQL
Airflow
Spark
Kubernetes
AWS

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Spark
Apache Airflow
Docker
Kubernetes
AWS

Job description

Roku is seeking a Senior Software Engineer for a hybrid role that bridges software and data engineering. You will design, build, and maintain scalable systems for application development and large-scale data processing, architecting production-grade data products and APIs using Java/Scala, SQL, Spark, Airflow, and Kubernetes.

You will collaborate with Finance, Accounting, Analytics, and engineering teams to translate business requirements into robust solutions, while driving data quality and

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