Data Engineering Services That Drive Results
We solve complex data challenges with modern, scalable solutions. Our focus is on delivering measurable business outcomes, not just implementing technology.
Book a Discovery CallHow We Help You Succeed
We specialise in four core areas where businesses typically struggle with their data infrastructure and workflows.
Build scalable cloud data foundations with real-time processing
The Problem
When your data is scattered across systems with no unified view or real-time capabilities
Our Solution
We create modern data platforms with both batch and streaming pipelines that provide reliable insights when you need them
Outcomes You'll See
- Single source of truth for all business data
- Real-time and batch processing capabilities
- Automated ETL/ELT pipelines with full testing
- Self-serve analytics for business teams
- Scalable streaming architecture for high volumes
- Production-grade monitoring and alerting
Cut warehouse and pipeline costs by 30%+ with smart automation
The Problem
When your cloud bills are spiraling out of control with inefficient queries and unoptimised resource usage
Our Solution
We audit, optimise, and implement cost-efficient data workflows with smart automation and monitoring
Outcomes You'll See
- 30-50% reduction in cloud infrastructure costs
- Query optimisation and partition strategies
- Resource scheduling and auto-scaling
- Ongoing monitoring and alerting
- Right-sized compute resources for workloads
- Eliminate wasteful data storage patterns
Dashboards and insights your teams actually use
The Problem
When reports are built but nobody uses them
Our Solution
We build BI solutions focused on user adoption and business value
Outcomes You'll See
- Self-service dashboards that business users love
- Real-time KPI monitoring with automated alerts
- Drill-down capabilities from high-level to granular data
- Mobile-responsive dashboards for executives
Integrate predictive analytics and smart automation into your workflows
The Problem
When repetitive tasks consume valuable time
Our Solution
We integrate AI and machine learning into your existing workflows
Outcomes You'll See
- Automate repetitive data tasks with intelligent workflows
- Custom Python apps powered by AI for specific business needs
- LLM-powered tools for content processing and analysis
- Workflow automation across multiple platforms and systems
Our Proven Process
We follow a structured approach that ensures successful delivery and knowledge transfer at every stage.
Discover
We analyse your current data landscape, identify pain points, and understand your business objectives.
Design
We architect a solution that addresses your specific challenges with scalable, modern technology.
Deliver
We implement the solution with rigorous testing, documentation, and knowledge transfer.
Operate
We provide ongoing support, monitoring, and optimisation to ensure continued success.
Why Work With Alpha Array
We're not just another consulting firm. We're hands-on partners who deliver results that matter to your business.
Fast Strategic Delivery
We join projects that need rapid execution, not endless planning phases. Proven track record of reducing deployment times from days to minutes.
Production-Grade Quality
Every solution includes automated testing, CI/CD pipelines, monitoring, and governance frameworks from day one.
Measurable Outcomes
We focus on delivering tangible business results: cost savings, time reductions, and improved data quality that you can measure.
Modern Stack Expertise
Deep experience with BigQuery, Snowflake, dbt, and cloud-native tools. We bring best practices from global brands like NEOM, IKEA, SoundCloud.
Flexible Engagement Models
We offer daily rates, hourly rates, and project-based pricing to match your needs. Whether you need short-term expertise or long-term partnership, we have options that work.
Daily Rates
For ongoing projects and strategic initiatives
Project-Based
Fixed-scope deliverables with clear outcomes
Hourly Support
Ad-hoc consultation and troubleshooting
Frequently Asked Questions
Common questions about working with a data engineering consultancy.
How much does a data engineering consultant cost in the UK?
Rates vary based on scope and engagement model. Alpha Array offers daily rates, project-based pricing, and hourly support. Most data engineering consultancy engagements in the UK range from £500-£1,500 per day depending on complexity and seniority required.
Should we hire an in-house data engineer or use a consultant?
It depends on your needs. A consultant is ideal when you need specialist expertise quickly, have a defined project scope, or want to avoid the overhead of a full-time hire. In-house makes more sense for ongoing, steady-state data operations. Many companies use a consultant to build the initial platform, then hire in-house to maintain it.
What's the difference between a data engineer and a data analyst?
Data engineers build and maintain the infrastructure that makes data available — pipelines, warehouses, and platforms. Data analysts use that data to generate insights and reports. Think of data engineers as the builders and analysts as the users. Alpha Array focuses on the engineering side: making sure your data is reliable, accessible, and cost-effective.
How long does a typical data platform implementation take?
Most data platform implementations take 6-16 weeks depending on complexity. A focused BigQuery or Snowflake migration can be done in 6-8 weeks. A full platform build with pipelines, governance, and reporting typically takes 12-16 weeks. We deliver in iterative sprints so you see value within the first 2-3 weeks.
Can you help reduce our BigQuery or Snowflake costs?
Yes — cloud cost optimisation is one of our core services. We typically reduce BigQuery and Snowflake costs by 30-50% through query optimisation, partitioning and clustering strategies, resource scheduling, and architectural improvements. We start with an audit to identify the biggest savings opportunities.
What technologies does Alpha Array work with?
We specialise in Google Cloud Platform (BigQuery), Snowflake, dbt, Airflow, Terraform, and Python. We also work with AWS, Azure, Looker Studio, Tableau, and Power BI. Our focus is on modern, cloud-native data stacks that are scalable, maintainable, and cost-effective.
Do you work with companies outside the UK?
Yes. Alpha Array operates from both the UK and UAE, and we serve clients globally. We've delivered projects across Europe, the Middle East, and North America. Remote collaboration is core to how we work.
What industries does Alpha Array serve?
We've delivered data platforms across music streaming (SoundCloud, Napster), retail (IKEA, Ocado), hospitality (Village Hotels), construction (Hilti Group), smart cities (NEOM), fintech, energy, healthcare, and digital marketing. Our approach adapts to each industry's specific data challenges.
Ready to Transform Your Data Operations?
Let's discuss your specific challenges and how we can deliver measurable improvements to your business.
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