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6 дней назад

Principal Engineer (Data Engineering)

Формат работы
onsite
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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Описание вакансии

Текст:
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TL;DR
Principal Engineer (Data Engineering): Building scalable data infrastructure, ingestion pipelines, and data products for advanced analytics and data science with an accent on cloud architecture, data integration, security, and strategic product thinking. Focus on designing hybrid cloud environments, leading cross-functional product execution, and delivering secure, model-ready datasets from complex sources.

Location: London, United Kingdom

Company

BCG Expand is a hirify.global subsidiary providing data-driven business intelligence and benchmarking for leading financial services firms, with a focus on technology, operations, FinTech, and market data.

What you will do

  • Architect and build scalable data ingestion pipelines, ETL/ELT processes, databases, and data models.
  • Design secure data integration frameworks for structured, semi-structured, and unstructured data.
  • Create and manage hybrid cloud data environments and support big data platforms.
  • Contribute to data product strategy, roadmaps, execution, and performance reporting.
  • Collaborate with product owners, engineers, data scientists, and senior stakeholders to produce high-quality, model-ready datasets.
  • Identify and mitigate business, operational, governance, security, and compliance risks.

Requirements

  • Hands-on experience in data engineering, software development, or analytics, including launching and scaling technical products or platforms.
  • Strong programming skills in at least two of Python, SQL, and Java.
  • Experience with distributed systems such as Spark, Hadoop, or EMR, plus RDBMS and NoSQL databases.
  • Knowledge of software engineering practices, including code reviews, testing, CI/CD, monitoring, packaging, and release management.
  • Hands-on experience with AWS, Azure, or GCP and familiarity with traditional ETL tools and data warehousing.
  • Strong understanding of data security, compliance, governance, stakeholder management, and cross-functional leadership.

Culture & Benefits

  • Inclusive, diverse, authentic, and collaborative working culture.
  • Entrepreneurial environment focused on quality, automation, and continuous improvement.
  • Opportunity to work with senior stakeholders and multidisciplinary teams on data products for financial services.

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