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1 дСнь назад

Data Engineering Manager (Azure)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR

Data Engineering Manager (Azure): Leading a high-performing data engineering team to build and maintain scalable data platforms with an accent on Databricks, Azure ecosystems, and robust data pipelines. Focus on defining engineering standards, mentoring team members, and delivering high-quality, reliable data products to support business-wide analytical needs.

Location: Must be based in or able to work from Southampton or London

Company

hirify.global is a leading wealth management business helping to enable brighter financial futures with a diverse range of investment solutions and financial planning services.

What you will do

  • Lead, coach, and mentor a team of data engineers while fostering an inclusive, high-performance culture.
  • Define data engineering standards and best practices to ensure secure and efficient delivery.
  • Review architecture and code while providing technical direction on complex engineering challenges.
  • Partner with product managers, data scientists, and business stakeholders to translate needs into actionable engineering plans.
  • Promote operational stability and excellence through robust monitoring, alerting, and incident response frameworks.
  • Drive improvements in data quality, governance, and compliance including GDPR adherence.

Requirements

  • Proven experience in managing and growing technical teams in a complex business environment.
  • Strong hands-on experience building data pipelines on Databricks and Fabric within Azure.
  • Deep knowledge of Spark internals, performance tuning, and partitioning.
  • Expertise in batch and stream pipelines using kappa architecture.
  • Proficiency in Python and SQL with experience in data modelling techniques like Kimball or Data Vault.
  • Experience with Azure DevOps for CI/CD and data engineering deployments.

Nice to have

  • Experience with Scala programming.
  • Advanced knowledge of data lineage, cataloguing, and access control tools.

Culture & Benefits

  • 26 days of annual leave (182 hours).
  • Company pension scheme with non-contributory options.
  • Private medical insurance provided with family cover options.
  • Life assurance at 4x your salary.
  • Income protection scheme providing 75% salary coverage after 26 weeks of absence.
  • Eligible for the hirify.global Incentive Scheme based on business performance.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’