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2 дня назад

Senior Data Engineer (Databricks)

50 000 - 64 000GBP
Формат работы
remote (только United_kingdom)/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

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TL;DR

Senior Data Engineer (Databricks): Driving the design and implementation of robust, high-performance data solutions with an accent on Databricks for industrialised pipelines and data science model feeds. Focus on shaping scalable, innovative data solutions and mentoring junior engineers.

Location: Remote UK or office based (there is an opportunity to work remotely or be office based depending on your preference)

Salary: £50k - £64k plus benefits

Company

hirify.global Resourcing is proud to be partnered with an innovative leading retailer that’s transforming how data powers decision-making.

What you will do

  • Lead the technical delivery of data initiatives in a collaborative squad environment.
  • Translate functional designs into scalable, reusable technical solutions.
  • Build and test high-performance ELT pipelines in Databricks.
  • Mentor junior engineers and promote engineering best practices.
  • Ensure high quality, reliable, and well-documented deliverables through peer reviews.
  • Optionally support on-call platform duties as needed.

Requirements

  • 4 years expertise in Databricks, Spark, and cloud data architecture
  • Coding skills in Python and SQL.
  • Experience with orchestration tools like Azure Data Factory and Databricks Workflows.
  • Knowledge of lakehouse architectures, modern data engineering, and data warehousing principles.
  • Understanding of data modelling, ELT/ETL pipelines, and testing frameworks.
  • Familiarity with CI/CD, version control, and DevOps practices.
  • Strong problem-solving, debugging, and technical leadership skills.
  • Awareness of security, governance, and cost optimisation practices.

Nice to have

  • Degree in IT or related business discipline.

Culture & Benefits

  • Work at the forefront of data innovation in a dynamic retail environment, shaping solutions that deliver real business impact.
  • Autonomy to drive technical excellence.
  • Opportunity for developing others in a supportive and high-performing team.

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