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3 дня назад

Senior Data Engineer (Fintech)

76 760 - 95 950GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Data Engineer (Fintech): Building and operating scalable real-time and batch data infrastructure for Curve’s data platform with an accent on streaming, data warehousing, and production reliability. Focus on designing distributed systems, optimizing pipelines and databases, and supporting machine learning workloads across GCP and AWS.

Location: London, UK; hybrid working with at least two days per week or 40% of working time at an office site

Salary: £76,760–£95,950 per year

Company

hirify.global is a UK banking and financial services organisation building data-driven products and platforms.

What you will do

  • Design, build and operate scalable real-time and batch data infrastructure.
  • Collect, process and serve data from internal and external sources.
  • Maintain the reliability, performance and availability of data warehouses and pipelines.
  • Enable analytics, machine learning, real-time decisioning and operational reporting.
  • Collaborate with engineers, data scientists, machine learning researchers and business stakeholders.
  • Promote best practices in data engineering, architecture and data quality.

Requirements

  • At least five years of production experience as a Data Engineer working with real-time and batch data.
  • Strong experience with streaming technologies such as Kafka, Pub/Sub or Kinesis.
  • Knowledge of data warehousing, relational modelling, query optimisation and database administration.
  • Strong programming experience with Python, Go and/or SQL, plus experience with dbt and Apache Airflow or similar tools.
  • Experience designing and building production systems on GCP and/or AWS, with knowledge of event-driven architectures and distributed systems.
  • Experience supporting machine learning workloads, distributed processing technologies such as Spark or Apache Beam, and production data systems.

Nice to have

  • Experience with Terraform, Infrastructure as Code, Kubernetes and containerised environments.
  • Experience working with LLMs and agentic workflows.
  • Experience mentoring engineers and designing large-scale distributed architectures.
  • Knowledge of security considerations in data engineering.
  • Experience in fintech, financial services, payments or retail banking.

Culture & Benefits

  • Inclusive environment focused on diversity, equity and inclusion.
  • Support for workplace adjustments, including flexibility in office attendance and working patterns.
  • Pension contribution of up to 15% and an annual performance-based bonus.
  • Share schemes, including free shares, and lifestyle benefits such as discounted shopping.
  • 30 days’ holiday plus bank holidays, wellbeing initiatives and generous parental leave.

Hiring process

  • Reasonable adjustments are available throughout the recruitment process.
  • Applicants meeting the minimum criteria who have a disability, long-term health condition or are neurodivergent may qualify for an interview through the Disability Confident Scheme.

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