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2 дня назад

Data Engineering Specialist (AWS/GCP)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineering Specialist (AWS/GCP): Designing, building, and supporting data products and end-to-end pipelines for telecommunications services with an accent on Ab Initio, Apache Spark, Apache NiFi, and multi-cloud engineering. Focus on optimizing parallel data processing, tuning batch and streaming workloads, improving CI/CD automation, and developing junior data engineers.

Location: Belfast or London, United Kingdom; hybrid working with 3 days per week in the office and 2 days from anywhere

Salary: Competitive plus benefits

Company

hirify.global is a UK communications group operating brands including BT, EE, Openreach, and Plusnet, serving consumers, businesses, public-sector organizations, and communications providers.

What you will do

  • Design, develop, and maintain end-to-end data pipelines using Ab Initio.
  • Build scalable batch and streaming workloads with Apache Spark, PySpark, and Scala.
  • Develop and orchestrate real-time and near-real-time data ingestion flows with Apache NiFi.
  • Optimize ETL/ELT jobs and analyze bottlenecks across Spark jobs, NiFi processors, and Ab Initio graphs.
  • Improve automated testing and deployments through CI/CD pipelines.
  • Present product developments, share knowledge with stakeholders, and line-manage a small team of junior data engineers.

Requirements

  • Experience building Big Data solutions with Hadoop, AWS, or GCP.
  • Strong expertise in Ab Initio, including GDE, PDL, Conduct>IT, Express>IT, and EME, with parallel processing and component optimization.
  • Hands-on experience with Apache Spark, including Spark SQL, Spark Streaming, and performance tuning.
  • Practical experience designing and securing Apache NiFi flows, tuning processors, and handling errors.
  • Working knowledge of Scala, Java, Python, Kafka, Kinesis, BigQuery, Dataflow, BigTable, Terraform, and SQL.

Nice to have

  • Knowledge of Infrastructure as Code and Continuous Integration and Deployment practices.
  • Experience with Atlassian tools, Git, or SVN.
  • Experience presenting technical issues and outcomes to team members and Product Owners.
  • Experience or interest in managing and developing team members.
  • Experience building new solutions and supporting existing data products and platforms.

Culture & Benefits

  • Agile principles centered on openness, transparency, and continuous improvement.
  • Opportunities for internal and external training, learning, and applying new technologies.
  • 10% on-target annual bonus.
  • Private GP access, paid carers leave, and equalized maternity, paternity, and adoption leave.
  • Pension scheme with 5% employee and 10% employer contributions, holiday purchase, and optional healthcare, dental, and gym benefits.

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