ΠΡΠ° Π²Π°ΠΊΠ°Π½ΡΠΈΡ Π² Π°ΡΡ ΠΈΠ²Π΅
ΠΠΎΡΠΌΠΎΡΡΠ΅ΡΡ ΠΏΠΎΡ ΠΎΠΆΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ βΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 18 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Principal Data Engineer (Databricks)
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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.