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- Tasks: Design and optimise automated data pipelines for Google Cloud Platform.
- Company: Leading tech firm in cloud solutions, fostering innovation and collaboration.
- Benefits: Competitive pay, flexible hybrid work, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data architecture in the cloud.
- Qualifications: Experience with GCP, BigQuery, and strong data engineering skills required.
- Other info: Exciting projects with potential for career advancement in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
Location: Leeds/Halifax, UK (Hybrid)
Employment type: Contract
Role Summary
We are seeking an experienced Cloud Data Loading Architect to design, build, and optimise automated pipelines that ingest structured, semi-structured, and unstructured datasets into Google Cloud Platform (GCP), specifically BigQuery. This role will lead end-to-end data ingestion design—from source discovery and schema mapping, through transformation and data quality, to scalable, secure loads into cloud-native analytical warehouses. The ideal candidate combines strong cloud engineering skills with hands-on data integration experience and a deep understanding of BigQuery performance optimisation.
Key Responsibilities
- Design and implement high-throughput, fault-tolerant ingestion pipelines for batch and streaming data landing in BigQuery.
- Lead data ingestion architecture patterns using Cloud Storage (GCS), Dataflow, Dataproc, Composer (Airflow), Pub/Sub, BigQuery Storage Write API, and related services.
- Define data loading frameworks, mapping rules, schema evolution strategy, and metadata management.
- Create reusable ingestion blueprints that ensure governance, lineage, and auditability.
- Establish data quality checks, validation rules, reconciliation logic, and SLAs.
- Optimise BigQuery cost, storage, partitioning, clustering, and access patterns.
- Collaborate with security & platform teams to ensure IAM, service accounts, VPC-SC, and encryption policies are fully applied.
- Automate CI/CD deployments for ingestion pipelines using Cloud Build, GitHub, GitLab or Jenkins.
- Produce detailed technical documentation and coach engineering squads in cloud ingestion standards.
- Troubleshoot ingestion failures, performance bottlenecks, and cross-platform data integration issues.
Top 10 Skillset & Qualities (Ideal Candidate)
- Deep Expertise in Google Cloud Data Services: BigQuery, GCS, Dataflow (Apache Beam), Pub/Sub, Dataproc, Cloud Composer, Storage Write API.
- Data Ingestion Engineering Mastery: Hands-on experience designing frameworks to load data from APIs, files, databases, event streams, and mainframe/legacy systems into cloud stores.
- Strong SQL & BigQuery Optimisation Skills: Partitioning, clustering, materialised views, cost-efficient query design, columnar storage understanding.
- ETL/ELT Architecture Knowledge: Experience building transformation pipelines using Airflow, Dataflow, dbt, or equivalent orchestration tools.
- File & Format Proficiency: Ability to work with Parquet, Avro, ORC, JSON, CSV, nested/repeated structures, and schema evolution.
- Strong Python and/or Java Skills: Used to build Dataflow pipelines, ingestion utilities, automation scripts.
- Cloud Security & Governance Awareness: IAM roles, least-privilege models, VPC-SC, service accounts, artifact signing, audit logging.
- DevOps & CI/CD Familiarity: Cloud Build, GitHub Actions, Terraform, Cloud Deployment Manager or Pulumi.
- Data Quality & Observability Mindset: Experience implementing validation frameworks, anomaly detection, reconciliation rules, logging/monitoring (e.g., Cloud Logging, Cloud Monitoring).
- Excellent Architectural Communication Skills: Ability to document, diagram, and communicate ingestion patterns to stakeholders at technical and non-technical levels.
GCP Data Architect in Bradford employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Architect in Bradford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP and BigQuery. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data ingestion and cloud architecture. Practise explaining your past projects and how they relate to the role of a GCP Data Architect.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace GCP Data Architect in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the GCP Data Architect role. Highlight your experience with Google Cloud services, especially BigQuery, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've designed and implemented data ingestion pipelines. We love seeing real-world applications of your skills, so don’t hold back on the details that show off your expertise!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets right to the heart of your experience.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Insight International (UK) Ltd
✨Know Your GCP Inside Out
Make sure you brush up on your knowledge of Google Cloud Platform services, especially BigQuery, Dataflow, and Pub/Sub. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your Data Ingestion Experience
Prepare specific examples of your experience with data ingestion frameworks. Talk about the challenges you faced, how you overcame them, and the impact your solutions had on data quality and performance. This will demonstrate your hands-on expertise.
✨Demonstrate Your SQL Skills
Since strong SQL and BigQuery optimisation skills are crucial, be prepared to solve some SQL problems during the interview. Practise writing efficient queries and think about how you would optimise them for cost and performance.
✨Communicate Clearly and Effectively
Your ability to communicate complex architectural concepts to both technical and non-technical stakeholders is key. Practise explaining your past projects and decisions in a clear, concise manner, using diagrams if necessary to illustrate your points.