Google BigQuery Consulting That Speaks Your Language
We don’t just build queries or pipelines — we partner with you, helping your team gain the skills and confidence to drive your cloud‑based, data‑driven future.
Let’s talk data. Grab a free 30‑minute slot to see our work in action and discover how our collaborative approach can elevate your analytics capability.
Our Google BigQuery Consultancy Services
Our Google BigQuery Consulting Service offerings tend to fall into three main categories.
End-to-end projects
You can relax and let us handle your BigQuery data‑warehouse project from start to finish. Our team of Google Cloud and BigQuery specialists will work closely with you and your team to ensure everything is designed, built, and delivered smoothly.
Popular projects include migrating existing datasets into BigQuery from spreadsheets, legacy databases, on‑prem systems, or other cloud data warehouses, as well as modernising your overall data estate. We can also help design and implement robust data‑integration pipelines to bring data together from multiple sources and make it analytics‑ready.
We also offer our Management Information Health Check service, where we take a deep dive into your current data architecture and reporting setup, reviewing your People, Processes, and Technology to highlight opportunities for optimisation and improved data quality.
We can offer a time‑based service model, or if project requirements are clearly defined at the outset, we can also provide fixed‑price project options.
Embedded consultants
If you want to boost your IT or data team with a Google BigQuery and cloud data‑warehouse expert, this model is perfect for you. You’ll work closely with one of our BigQuery professionals, who will support you with everything from data‑warehouse strategy and architecture to optimising data pipelines and modernising your integration processes.
This approach lends itself well to being offered as a block of time that can be called off and billed monthly, giving you flexible access to specialist expertise whenever you need it.
It’s also the ideal model if you have a broader or evolving set of data requirements where the exact project details cannot be fully determined up front. You can trust us to guide your team through successful data‑warehouse implementation, data‑integration improvements, and ongoing enhancement of your BigQuery environment.
Managed services
We understand that your data‑platform needs will evolve over time, and we’re here to support you whenever and however you need us. With our managed services model, you can choose the right SLA for your BigQuery environment, data warehouse, and integration requirements.
We’ll work with you to ensure your data‑warehouse workloads are running efficiently, your BigQuery environment stays healthy, and your pipelines remain reliable. You can also call on us to help you overcome those day‑to‑day technical hurdles that your team may need extra support with.
We offer a flexible mentoring and advisory model, available online or on‑site, where we listen to your challenges and help you solve them on the spot—whether that’s optimising queries, improving data models, or refining your integration architecture.
With our broad range of data‑engineering and cloud services, and many years of experience building scalable analytics platforms, we’re confident that we can develop a long‑term working partnership with you.
We offer flexible packages designed to help you manage budgets effectively—so you only pay for what you use. We can do this because we’re confident that you’ll see the value we bring to your data ecosystem.
Our goal is simple: to help you get the most out of Google BigQuery and your wider data‑warehouse strategy.
Our BigQuery Consultancy Approach
Our Standard Google BigQuery Process.
We normally follow a five-stage consultancy process. Depending on the complexity of the project
Step 1 - Initial Meeting
We gain a high‑level understanding of your business processes, your current data landscape, and how you are utilising data today. From there, we begin shaping a modern data‑platform strategy centred around Google BigQuery.
We look closely at how your data is collected, stored, and integrated across systems, and we consider what your analytics and reporting needs will be—both now and in the future. This ensures we account for the ad‑hoc, exploratory, and advanced analysis needs that many consulting firms tend to overlook.
Step 2 - Top Level Plan
We build on the initial outline and map your core data sources, systems, and workflows to form a clear top‑level plan for your Google BigQuery data‑warehouse. Priority areas—such as critical data pipelines, integration requirements, and high‑value analytical use cases—are planned first.
At this stage, we further refine your requirements to shape a scalable data strategy aligned with your KPIs, objectives, and long‑term analytics vision.
Step 3 - Develop Solution
Following the agreed strategy, we begin developing the priority components of your BigQuery data‑warehouse. This includes building scalable data models, designing efficient schemas, and implementing the required data‑integration pipelines to bring your key datasets into BigQuery.
We work as closely as possible with your team, bringing them along on the journey and strengthening their knowledge throughout the process. This ensures they are fully prepared to support day‑to‑day operations and ongoing enhancements once the solution is live.
Step 4 - Training and Handover
Step 5 - Ongoing Support
Examples of Our Work
Industries
We provide Google BigQuery Consulting across multiple industries.
Explore how we help your sector unlock insights, streamline operations, and build scalable reporting.
Our BigQuery Professionals
Meet our BigQuery and Google Cloud data‑warehouse specialists.
Book a FREE BigQuery Consultancy Meeting
You can book an introductory meeting directly with Simon Harrison using his the link below.
In a FREE online call, we can learn more about you and your business, understand your current data‑warehouse and data‑integration setup, and explore how we can help you get more value from Google BigQuery
These 30‑minute sessions are an effective way for us to meet, discuss your challenges, and outline how we can support you with BigQuery consultancy tailored to your needs.
BigQuery Consulting – Frequently Asked Questions
What is Google BigQuery and how can it help my business?
Google BigQuery is a fully managed, serverless data‑warehouse platform designed for fast SQL‑based analytics at scale. It enables organisations to centralise data from multiple systems, run complex queries quickly, and support real‑time insights without managing infrastructure.
What does your BigQuery consulting service include?
Our consulting covers the full BigQuery lifecycle: data‑warehouse design, schema modelling, data‑integration pipelines, query optimisation, cost management, security best practices, and ongoing support. We tailor each engagement to your organisation’s data needs and technical maturity.
Can you help migrate our existing data into BigQuery?
Absolutely. We regularly help clients migrate from spreadsheets, on‑prem databases, legacy data warehouses, SaaS tools, and other cloud platforms. We design secure, reliable pipelines to move and transform your data into a clean, analytics‑ready BigQuery environment.
Do you support data integration and ETL/ELT pipelines?
Yes. We build modern data‑integration workflows using tools such as Cloud Dataflow, Cloud Composer, dbt, and custom solutions. Whether you need batch ingestion, streaming data, real‑time event capture, or API integrations, we can design and implement the right pipelines.
What size of organisation is BigQuery suitable for?
BigQuery works for organisations of all sizes. Smaller teams benefit from low‑maintenance, pay‑as‑you‑go analytics, while larger enterprises leverage its massive scalability for advanced workloads. We can help you design a solution that fits both your budget and your long‑term data strategy.
Other BigQuery Resources
You can read all of our BigQuery blog archives here
