Senior GCP Data Engineer

Stack; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior GCP Data Engineer to enhance their Cyber Security domain. This role offers the chance to leverage cloud technology and engineering skills to create top-tier data capabilities. You will be responsible for developing scalable backend systems and APIs, managing data pipelines, and ensuring data quality through transformation processes. Collaborating with product managers, you will drive business value and transformation, making a significant impact in the organization. If you are passionate about data engineering and cloud solutions, this opportunity is perfect for you.

Benefits

Flexible working hours

Health insurance

Professional development opportunities

Remote work options

Annual bonus

Pension scheme

Qualifications

• 8+ years experience in data engineering with a focus on GCP solutions.
• Proficiency in GCP services and ability to develop scalable solutions.

Responsibilities

• Design and maintain robust backend systems and APIs.
• Develop data pipelines for Google Cloud environments.
• Optimize data models and queries for performance.

Skills

GCP Data & AI services

Python

SQL

Data Engineering

API Development

Data Transformation

Cloud Security Best Practices

Education

GCP Certifications

Bachelor's Degree in Computer Science or related field

Tools

Terraform

Cloud Composer

BigQuery

DataProc

Cloud SQL

Job description

Get AI-powered advice on this job and more exclusive features.

Role/Job Title: Senior GCP Data Engineer

Work Location: London

The Role

An excellent opportunity has emerged for a Senior GCP Data Engineer to join the Cyber Security domain of an investment bank. In this role, you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology.

Key Responsibilities

• API Development: Design, develop, and maintain robust and scalable backend systems and APIs
• Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load into Google Cloud environments
• Data Transformation: Implement data transformation processes including cleansing, normalization, and aggregation to ensure data quality and consistency
• Data Modeling: Develop and maintain data models and schemas to support efficient data storage and retrieval on Google Cloud platforms
• Data Integration: Integrate data from multiple sources (on-prem and cloud-based) using Cloud Composer or other tools
• Data Lakes: Build data lakes using Google Cloud services such as BigQuery
• Performance Optimization: Optimize data pipelines and queries for improved performance and scalability
• Collaboration: Work with product managers to ensure superior product delivery to drive business value and transformation
• Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing
  
  

Your Profile

Essential Skills/Knowledge/Experience

• 8+ years of experience in data engineering with strong focus on GCP-based solutions
• Proficiency in GCP Data & AI services (BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL)
• Experience designing, developing, and deploying scalable, secure GCP solutions
• Ability to translate business requirements into technical specifications
• Expertise in GCP services: Compute Engine, GKE, Cloud Storage, Cloud Functions, Cloud SQL, BigQuery
• Implementing and managing GCP networking configurations
• Use of IaC tools like Terraform for infrastructure automation
• Building and managing CI/CD pipelines
• Automating deployment processes and implementing cloud security best practices
• Identifying and resolving performance bottlenecks
  
  

Desirable Skills/Knowledge/Experience

• Experience with data analytics and Big Data technologies
• Knowledge of cloud security best practices and compliance standards
• Experience with agile development methodologies
• GCP Certifications (e.g., Google Cloud Certified Professional Cloud Developer)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Software Development

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