Lead Data Engineer

VIQU Limited; Leeds; Hybrid; GBP 75,000; Full time

Job summary

Une entreprise dynamique recherche un Lead Data Engineer pour concevoir des solutions de données cloud à échelle. Ce poste, basé à Leeds mais majoritairement en télétravail, implique un leadership actif, la conception de modèles de données, et l'optimisation des processus de données tout en mentorant une équipe d'ingénieurs.

Qualifications

• Expérience en Databricks ou plateformes similaires.
• Compétences solides en Python et SQL.
• Expérience de leadership ou mentorat.

Responsibilities

• Diriger le développement de pipelines de données et solutions.
• Concevoir et maintenir des modèles de données soutenant l'analytique.
• Optimiser les processus ELT/ETL sur AWS ou Azure.

Skills

Python

SQL

Cloud Services

Data Modelling

CI/CD

Infrastructure as Code

Agile Delivery

Tools

Databricks

Terraform

CloudFormation

AWS

Azure

Job description

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Location: Leeds (Mostly Remote – 1 Day On-Site)
Salary: Up to £75,000 per annum

Are you an experienced Senior Data Engineer ready to step into a leadership role? We’re looking for a Lead Data Engineer to join our team based in Leeds, working mostly remotely with just one day on-site per week.

You’ll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices.

About You

You might currently be a Senior Data Engineer ready to grow your leadership skills. You’re passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment.

Key Responsibilities

Lead development of data pipelines and solutions using Databricks, Python, and SQL

Design and maintain data models supporting analytics and business intelligence

Build and optimise ELT/ETL processes on AWS or Azure

Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products

Champion best practices in testing, CI/CD, version control, and infrastructure as code

Mentor and support your team, taking ownership of technical delivery and decisions

Drive continuous improvements in platform performance, cost, and reliability

Key Requirements

Hands-on experience with Databricks or similar data engineering platforms

Strong Python and SQL skills in data engineering contexts

Expertise in data modelling and building analytics-ready datasets

Experience with AWS or Azure cloud data services

Proven leadership or mentorship experience

Excellent communication and stakeholder management

Agile delivery and DevOps tooling knowledge

Experience with infrastructure-as-code (Terraform, CloudFormation)

Familiarity with CI/CD pipelines and orchestration tools

Knowledge of data governance and quality controls

Experience in regulated or large-scale environments