Data Engineering Services for Smarter, Faster Business Decisions
Let our experienced engineers handle your data pipeline needs, ensuring efficiency and effective management of your business’s data resources.
- Years In Tech
- 10+Years In Tech
- AI Specialists
- 40+AI Specialists
- Project Plan
- 48hProject Plan
- In-house AI engineers, no outsourcing
- Built into your existing systems
- Transparent, fixed-scope pricing
Data isn't useful until it's structured, validated, and accessible. Without the right systems, you’re stuck with fragmented data, manual reports, and costly compliance risks. Our data engineering services convert raw datasets into analysis-ready, compliant, and scalable information pipelines.From GDPR-compliant data lakes for healthcare providers to ETL pipelines that keep e-commerce stock levels up to date, we design data solutions that fit the unique demands of UK businesses. Our approach ensures your data is usable, secure, and always ready for analysis. Need actionable data without delays or errors? We make it happen.
Data Engineering Services for Smarter, Faster Business Decisions at a glance
Data engineering services: reliable pipelines, warehouse modelling and orchestration so AI projects run on trustworthy data.
- Service
- Data Engineering Services for Smarter, Faster Business Decisions
- How we start
- A 30-minute scoping call, then a written scope covering the use case, data readiness and success measures.
- Typical first phase
- Proof of concept in 2–4 weeks, production build and integration in 6–12 weeks depending on scope.
- Integration surface
- Your existing stack — CRM, ERP, finance and support tools, databases, internal apps and APIs.
- Pricing
- Projects start from £5,000. Fixed-scope or monthly retainer — the exact quote follows the scoping call, based on your workflow volumes and integrations.
- Delivered by
- Pearl Lemon AI — senior AI engineers and consultants, London and remote.
How we deliver
One team covering AI strategy, Automation, Machine learning and Data engineering, working from your real workflows and data rather than generic AI templates.
- Strategy before software
- We audit your processes and data first, then only build the automation that returns measurable hours or revenue.
- Built and integrated in-house
- Consultants, ML engineers and data specialists on one team — models ship into your existing stack, not a slide deck.
- Owned after handover
- Documentation, training and monitoring so your team can run, measure and extend the system without us.
Not sure where to start? Browse every AI service we deliver or book a call with a strategist.
Industry-Specific Data Engineering Solutions
No two industries work the same way, and neither should their data systems. Our approach to data engineering services is shaped by industry-specific regulations, operational pain points, and customer expectations. We understand that financial services require FCA compliance, healthcare needs GDPR-compliant patient records, and e-commerce must track real-time stock availability.
Data Engineering for Financial Services
An e-commerce retailer had 10+ data sources feeding into a dashboard, but manual exports were slowing them down. We implemented AI for retail along with robust data quality management to build a unified ETL pipeline that syncs sales, inventory, and marketing data into one place — no manual work required.Example Use Case:A UK-based payments provider wanted to detect fraud faster. We built a real-time alert system powered by ETL pipelines and anomaly detection algorithms. The result? Fraud detection times dropped from 2 hours to 15 minutes.
BOOK A CALLData Engineering for Retail & E-Commerce
Speed and accuracy are crucial for retail and e-commerce brands. Our data solutions keep stock levels accurate, build real-time sales dashboards, and track customer activity in real-time.Example Use Case:A fashion retailer struggled with overselling during Black Friday. We built a real-time stock tracking system that updated availability every 5 minutes. As a result, the business avoided overselling and maintained customer trust during peak sales.
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Data Engineering for Healthcare Providers
The healthcare sector handles large datasets that require encryption, validation, and secure access. We design GDPR-compliant patient record systems and encrypted data lakes for secure data storage.Example Use Case:A UK healthcare provider needed a way to track patient data without violating GDPR. We built a role-based access control (RBAC) system that restricted access to sensitive data, ensuring only authorised healthcare professionals could view it.
BOOK A CALLData Engineering Services We Provide
We don't offer off-the-shelf solutions. Instead, we provide custom data engineering services that solve the specific challenges your business faces. Our technical scope includes the following core services:
Book A CallData Pipelines & ETL (Extract, Transform, Load)
Data doesn't move itself. We create ETL pipelines that automate the flow of information from CRMs, ERPs, and third-party APIs into centralised systems. This eliminates manual work and errors.Technologies: Apache Airflow, AWS Glue, Python, SQLExample Use Case:An e-commerce retailer had 10+ data sources feeding into a dashboard, but manual exports were slowing them down. Using AI for retail, we built a unified ETL pipeline to sync sales, inventory, and marketing data into one place — no manual work required.
BOOK A CALLData Lakes & Data Warehouses
We build data lakes (for raw data) and data warehouses (for structured, analysis-ready data) using tools like AWS S3, Snowflake, and Redshift. This allows you to store data in a way that’s accessible, secure, and fast.Example Use Case:A fintech firm required a data warehouse that could query millions of transactions. We built a Snowflake warehouse that ran queries in 8 seconds instead of 2 hours.
Data Governance & GDPR Compliance
GDPR isn't optional. We design frameworks for data encryption, access control, and compliance tracking to ensure you meet GDPR, ICO, and FCA regulations.Example Use Case:A healthcare client needed to protect sensitive patient records. We built an encrypted data lake and implemented role-based access to ensure only doctors could access certain files.
Book A CallCloud Data Migration (AWS, Azure, GCP)
Switching from on-premise to the cloud? We offer data migration to AWS, Azure, and Google Cloud. All data is validated before and after migration.Example Use Case:A UK insurance firm migrated 10TB of legacy data to AWS. We achieved 100% data integrity with zero downtime, allowing for a shift to a more scalable system.
Book A CallOur 5-Step Data Engineering Process
Our process keeps risk low and performance high. Here’s how we execute data engineering projects from start to finish:
1 : We audit your existing– data and define the business requirements.2 : Data Architecture Design
Is Your Data Infrastructure Holding You Back? Let's Fix It Before It Breaks.
Data issues won’t fix themselves. If broken dashboards, data duplication, or compliance risks are slowing you down, you're already losing ground.Don’t let these challenges stifle your growth. Consult with a Data Engineering specialist to improve your data architecture, eliminate redundancies, and ensure compliance, so you can scale faster and make data-driven decisions with confidence.
Book A CallYou Can Find Pearl Lemon AI In
One team, one standard of delivery — wherever your audience is.
London, UK
Global HQ
New York, USA
North America
Dubai, UAE
Middle East
Berlin, EU
Europe Hub
Singapore
Asia Pacific
Global Remote
Hybrid / Virtual
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