Π­Ρ‚Π° вакансия Π² Π°Ρ€Ρ…ΠΈΠ²Π΅

ΠŸΠΎΡΠΌΠΎΡ‚Ρ€Π΅Ρ‚ΡŒ ΠΏΠΎΡ…ΠΎΠΆΠΈΠ΅ вакансии ↓
Company hidden
ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 18 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Principal Data Engineer (Databricks)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ United_kingdom)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
UK

ОписаниС вакансии

ВСкст:
/
TL;DR
Principal Data Engineer (Databricks): Designing and delivering resilient, scalable cloud data platforms and high-impact data pipelines with an accent on Databricks, PySpark, SparkSQL, governance, and client strategy. Focus on shaping multi-year architectures, leading incident resilience and compliance, and coordinating team-of-teams delivery.

Location: Remote, UK; fully remote

Company

Emerging-technology consultancy creating secure, scalable solutions for businesses, including projects for global brands and public-sector organisations.

What you will do

  • Act as the primary technical authority and strategic partner for client business owners.
  • Design complex, large-scale data architectures and multi-year technology roadmaps.
  • Oversee team-of-teams delivery, capacity planning, team velocity, and the quality of resilient data pipelines.
  • Lead critical platform incident triage, resolution, root-cause prevention, and client communication.
  • Implement data governance, security, risk mitigation, and compliance controls.
  • Drive platform efficiency, engineering budgets, strategic hiring, knowledge sharing, and delivery standards.

Requirements

  • Proven experience in a principal engineering role.
  • Extensive experience with Azure or AWS cloud data platforms, particularly Databricks.
  • Strong skills in Pythonic data processing with PySpark and SparkSQL.
  • Knowledge of relational and non-relational data modelling, SQL, data integration, and ETL tools.
  • Excellent knowledge of big data technologies, data governance, and data security best practices.
  • Strong analytical, communication, consultative, and stakeholder management skills.

Culture & Benefits

  • Remote-first working with flexibility around client needs.
  • Private health insurance and a competitive salary with bonus structure.
  • Access to AWS and Databricks certifications, training, and partner tools.
  • Collaborative culture focused on technical excellence and continuous learning.
  • Opportunity to shape future Data & Consulting practices and delivery standards.

Hiring process

  • Screening interview.
  • Technical exercise.
  • Principal interview followed by a final interview.