Senior Data Engineer

Clearly Jobs Ltd.; Greater London; Hybrid; GBP 70.000 - 80.000; Vollzeit

Benefits dieser Stelle

Competitive salary

AI-enabled products

Enterprise-scale data challenges

Collaborative engineering culture

Professional development

Zusammenfassung

Clearly Jobs Ltd. is seeking a Senior Data Engineer in London for a hybrid role (4 days on site per week) with a £70,000–£80,000 salary.

You will design and deliver scalable cloud data pipelines, build analytics-ready data models, and integrate AI outputs into production environments. You will collaborate with Product, Engineering and Data Science teams to implement DataOps practices, governance, and robust monitoring, while mentoring colleagues and contributing to engineering standards.

Qualifikationen

• Strong commercial Data Engineering experience.
• Advanced SQL and Python skills.
• Experience designing modern cloud data architectures.
• Strong understanding of dimensional modelling and data warehousing.
• Exposure to Azure, AWS, and GCP environments.
• Familiarity with CI/CD pipelines and DevOps practices.
• Knowledge of DataOps and engineering best practices.
• Strong problem-solving and stakeholder engagement skills.

Aufgaben

• Design and develop scalable ETL and ELT pipelines.
• Build and optimise data models supporting analytics and AI workloads.
• Develop and maintain cloud-native data solutions.
• Support CI/CD implementation and deployment processes.
• Integrate AI and machine learning outputs into production environments.
• Implement monitoring, governance, and operational best practices.
• Collaborate closely with Product, Engineering, and Data Science teams.
• Mentor colleagues and contribute to engineering standards.

Kenntnisse

Data engineering

SQL

Python

Cloud data architectures

Dimensional modelling

Azure/AWS/GCP

CI/CD

DataOps

Stakeholder engagement

Jobbeschreibung

Senior Data Engineer

London Hybrid (4 days a week) £70,000 - £80,000

This is an excellent opportunity for a Senior Data Engineer looking to work on modern cloud technologies, AI-enabled products, and enterprise-scale data challenges. You'll play a key role in designing and delivering the data foundations that power innovative analytics and AI solutions.

The Company

They are an established AI-powered SaaS business at the forefront of data and AI innovation. Their platform helps organisations transform complex datasets into actionable intelligence, supporting better decision-making and stronger business outcomes. Continued growth and investment mean they are expanding their engineering team to support an exciting product roadmap.

The Role

• Design and develop scalable ETL and ELT pipelines
• Build and optimise data models supporting analytics and AI workloads
• Develop and maintain cloud-native data solutions
• Support CI/CD implementation and deployment processes
• Integrate AI and machine learning outputs into production environments
• Implement monitoring, governance, and operational best practices
• Collaborate closely with Product, Engineering, and Data Science teams
• Mentor colleagues and contribute to engineering standards

Your Skills & Experience

• Strong commercial Data Engineering experience
• Advanced SQL and Python skills
• Experience designing modern cloud data architectures
• Strong understanding of dimensional modelling and data warehousing
• Exposure to Azure, AWS, and GCP environments
• Familiarity with CI/CD pipelines and DevOps practices
• Knowledge of DataOps and engineering best practices
• Strong problem-solving and stakeholder engagement skills

What They Offer

• Competitive salary and benefits package
• Opportunity to work on innovative AI-enabled products
• Exposure to enterprise-scale data challenges
• Collaborative engineering culture
• Professional development support
• Clear progression opportunities within a growing business