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2 дня назад

Senior Data Engineer (Azure)

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
Senior Data Engineer (Azure): Building and maintaining data platforms and pipelines for public- and private-sector clients with an accent on data ingestion, storage, modelling, movement, and large-scale datasets. Focus on designing Azure-based solutions, implementing streaming and ETL systems, communicating architecture, and coaching junior engineers.

Location: London, United Kingdom

Company

hirify.global delivers IT transformation and delivery services to public- and private-sector organisations across multiple industries.

What you will do

  • Apply data engineering techniques to solve complex client problems involving data ingestion, storage, modelling, and movement.
  • Build, deploy, and maintain data platforms and pipelines, including new data features through prototyping and implementation.
  • Collaborate with technical and non-technical stakeholders to model data and engineering processes and develop data-driven solutions.
  • Communicate architecture and findings effectively and support engineering infrastructure with development and business teams.
  • Share expertise, improve engineering processes, and coach junior team members.
  • Support pre-sales, knowledge sharing, and the creation of data offerings and accelerators.

Requirements

  • 4+ years of data engineering experience.
  • Expertise in Azure services, including Databricks, Data Factory, Data Lake, and SQL.
  • Experience with streaming technologies such as Event Hubs and Kafka, as well as APIs, ETL, and large and complex datasets.
  • Proficiency in Python, R, SQL, and data modelling techniques including Kimball and Star Schema.
  • Professional certifications in data engineering.
  • Strong communication, analytical, and problem-solving abilities; self-motivated, collaborative, and committed to continuous learning.
  • Experience delivering customer value through Agile delivery methodology.
  • Must be eligible for Security Clearance.

Nice to have

  • Public- or private-sector experience and familiarity with data engineering regulations.
  • Knowledge of AWS, Oracle ODI, DataOps, or DevOps.
  • Contributions to open-source projects or data engineering forums.
  • Knowledge of Git, version control, code testing, and validation in notebooks and data pipelines.

Culture & Benefits

  • Access to the hirify.global Academy with courses, seminars, certifications, and development of technical, managerial, leadership, and strategic skills.
  • 25 days’ holiday, private medical healthcare via Vitality, pension contribution, and life assurance.
  • Support for professional certifications as part of learning and development.
  • Retail discounts and access to Employee Resource Groups.
  • Low-bureaucracy, agile, and flexible culture with opportunities for career growth in architecture, expertise, or generalist tracks.

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