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- Tasks: Design and optimise automated data pipelines for Google Cloud Platform and BigQuery.
- Company: Join a forward-thinking tech company in Halifax or Leeds with a hybrid work model.
- Benefits: Competitive contract pay, flexible working, and opportunities for skill enhancement.
- Other info: Dynamic role with potential for career advancement in a growing field.
- Why this job: Lead innovative data projects and make a significant impact in cloud technology.
- Qualifications: Experience in cloud engineering and data integration, especially with BigQuery.
The predicted salary is between 60000 - 80000 £ per year.
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, using 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.
- Optimize BigQuery cost, storage, partitioning, clustering, and access patterns.
- Collaborate with security.
Cloud Data Loading Architect (GCP and BigQuery) employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Loading Architect (GCP and BigQuery)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to GCP and BigQuery. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your experience.
✨Tip Number 3
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your expertise in cloud data loading and BigQuery optimisation. This gives potential employers a tangible look at what you can do.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Cloud Data Loading Architect (GCP and BigQuery)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Cloud Data Loading Architect role. Highlight your experience with GCP, BigQuery, and any relevant data ingestion projects. 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 or optimised data pipelines. We love seeing real-world applications of your skills, so don’t hold back on the details!
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!
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. We can’t wait to hear from you!
How to prepare for a job interview at Insight International (UK) Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in GCP, BigQuery, and the tools mentioned in the job description like Dataflow and Pub/Sub. Brush up on your knowledge of data ingestion pipelines and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data loading and optimisation. Think about scenarios where you had to troubleshoot issues or improve performance in BigQuery, and be ready to explain your thought process.
✨Understand the Business Impact
It’s not just about the tech; show that you understand how your work as a Cloud Data Loading Architect can drive business value. Be prepared to discuss how optimising data pipelines can lead to better decision-making and efficiency for the company.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team’s current challenges with data ingestion or how they measure success in their cloud projects. This shows your genuine interest and helps you gauge if the role is the right fit for you.