Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

GCP Data Architect

Focus Cloud
Southend-on-Sea
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Azure / GCP, Data Lake, Snowflake

Data Engineer - Azure / GCP, Data Lake, Snowflake

Senior Consultant - GCP Data Engineer

Data Engineering Consultant

Data Engineering Consultant - Pyspark

Data Engineering Consultant

Position: GCP Data Architect
Location: London – Hybrid (2-3 days onsite)
Employment: Contract
Duration: 6 months with potential extensions
Rate: £500- £600 per day (Inside ir35)
Start Date: ASAP
Languages: English


As a GCP Data Architect, you will be responsible for designing, implementing, and optimizing data solutions on Google Cloud Platform (GCP). You will work closely with cross-functional teams, ensuring scalable, efficient, and secure data architectures that meet business needs.

Key Responsibilities:

• Develop and maintain data models, ETL/ELT pipelines, and cloud-based storage solutions.
• Design and implement scalable data architectures on GCP.
• Optimize data processing, storage, and retrieval for performance and cost-efficiency.
• Ensure security, governance, and compliance of data solutions.
• Collaborate with data engineers, analysts, and business stakeholders to understand and fulfil data needs.
• Drive best practices for cloud data management and analytics.
• Troubleshoot and resolve data-related issues.

Key Skills and Knowledge:

• 8+ years of experience in data architecture, data engineering, or cloud computing.
• Expertise in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.).
• Strong experience with SQL, Python, and data modeling.
• Hands-on experience with ETL/ELT pipelines and workflow orchestration tools (e.g., Apache Airflow, Dataform).
• Knowledge of data security, governance, and compliance best practices.
• Strong problem-solving, analytical, and communication skills.
• Excellent communication and interpersonal skills, with the ability to influence cross-functional teams and stakeholders.
• Consulting background.
• Strong communication skills (oral & written)
• Rights to work in the UK is must (No Sponsorship available)

Should you be interested in being considered for this position and would like to discuss further.

Please apply with your latest CV or share your CV directly with me to

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.