AWS Data Engineering Services Malta
AWS data engineering services in Malta. Build scalable data platforms using S3, Glue, Redshift, EMR, Kinesis.
AWS Data Engineering Services built around your business.
Every solution we deliver is built on three pillars: your data, your context, and continuous improvement. Each capability is traceable and measurable.
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AWS Glue & Serverless ETL
Serverless ETL pipelines using AWS Glue that automatically scale with data volume without cluster management. Schema discovery with Glue Crawlers, job bookmarking for incremental processing, and Glue Data Catalog integration provide managed data transformation with automatic scaling and pay-per-use pricing.
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Amazon Redshift Data Warehouse
Data warehouse deployment on Amazon Redshift with optimised distribution keys, sort keys, and workload management. Redshift Serverless provides pay-per-query pricing for variable workloads, while provisioned clusters deliver predictable performance for steady analytical demand.
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S3 Data Lake with Lake Formation
S3-based data lakes governed by Lake Formation for centralised security, fine-grained access controls, and data cataloguing. Apache Iceberg and Delta Lake provide ACID transactions on S3, while Athena enables serverless SQL queries directly on lake storage.
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Real-Time Streaming with Kinesis
Amazon Kinesis implementations for real-time data ingestion and processing at scale. Stream millions of events per second for live dashboards, alerting, fraud detection, and event-driven architectures with managed scaling and guaranteed delivery.
S3 Data Lake with Lake Formation
S3-based data lakes governed by Lake Formation for centralised security, fine-grained access controls, and data cataloguing. Apache Iceberg and Delta Lake provi…
Amazon Redshift Data Warehouse
Data warehouse deployment on Amazon Redshift with optimised distribution keys, sort keys, and workload management. Redshift Serverless provides pay-per-query pr…
AWS Glue & Serverless ETL
Serverless ETL pipelines using AWS Glue that automatically scale with data volume without cluster management. Schema discovery with Glue Crawlers, job bookmarki…
Amazon Web Services provides the most comprehensive suite of cloud data services available, and Neural AI helps Malta businesses harness these capabilities through expert AWS data engineering. We design, build, and optimise data platforms using S3, Glue, Redshift, EMR, Kinesis, and Athena that deliver the performance, scalability, and cost-efficiency your data engineering workloads demand.
AWS for Malta’s Data-Intensive Industries
AWS dominates cloud infrastructure globally because of its breadth of services, maturity of platforms, and aggressive pricing innovation. For Malta’s iGaming operators processing billions of player events, financial institutions requiring regulated data infrastructure, and retail businesses unifying online and offline data, AWS provides battle-tested services that scale from startup to enterprise without architectural redesign.
Our AWS data engineering approach prioritises serverless and managed services wherever appropriate, minimising infrastructure management overhead while maximising scalability. We build data lakes on S3 with Lake Formation governance, implement ETL pipelines with Glue, deploy analytics warehouses on Redshift, and create real-time processing systems with Kinesis.
S3 Data Lake Architecture
Amazon S3 provides the storage foundation for modern data platforms, offering virtually unlimited capacity at costs below $0.02 per GB per month. Combined with AWS Lake Formation for governance and Apache Iceberg or Delta Lake for transactional table support, S3 becomes a powerful data lake that stores structured, semi-structured, and unstructured data with warehouse-like reliability.
Our S3 lake architectures implement medallion patterns with clear zone boundaries, automated lifecycle policies, and fine-grained access controls through Lake Formation. The GPT cloud migration project achieved 40% cost reduction by migrating to an S3-based architecture that leveraged serverless querying with Athena and intelligent storage tiering.
AWS Glue for Serverless ETL
AWS Glue provides serverless data processing that scales automatically with data volume. Glue ETL jobs handle extraction, transformation, and loading without cluster provisioning or management. Glue Crawlers automatically discover schemas and populate the Glue Data Catalog, creating a searchable registry of all your data assets.
For Malta businesses needing data pipelines without operational complexity, Glue delivers managed processing with pay-per-use pricing. We combine Glue ETL with dbt for transformation logic and AWS Step Functions for workflow orchestration, creating production-grade pipelines that your team maintains without Spark cluster expertise.
Live in weeks, not months.
AWS Environment Assessment
We evaluate your current AWS usage, VPC configuration, IAM structure, and compliance requirements. For new AWS deployments, we design the landing zone with proper account structure, networking, and security foundations.
Service Selection & Architecture
We design the data architecture selecting optimal AWS services for each component. Glue vs EMR for processing, Redshift vs Athena for querying, and Kinesis vs MSK for streaming are evaluated against your specific workload requirements.
Infrastructure Deployment
We deploy AWS data infrastructure using Terraform or CloudFormation for infrastructure-as-code. VPC configuration, IAM policies, encryption settings, and monitoring are configured according to AWS Well-Architected Framework principles.
Pipeline & Processing Development
We build data pipelines using Glue ETL, Step Functions orchestration, and Lambda for event-driven processing. Each pipeline includes comprehensive error handling, monitoring, and documentation.
Analytics Platform Setup
We configure Redshift warehouses, Athena workgroups, or QuickSight dashboards for analytical consumption. Query performance optimisation and cost management ensure responsive analytics within budget constraints.
Operations & Knowledge Transfer
We establish monitoring, alerting, and operational procedures using CloudWatch, SNS, and custom dashboards. Your team receives training on AWS data service operations, troubleshooting, and cost management.
Everything you need. Nothing you don't.
AWS Glue & Serverless ETL
Serverless ETL pipelines using AWS Glue that automatically scale with data volume without cluster management. Schema discovery with Glue Crawlers, job bookmarking for incremental processing, and Glue Data Catalog integration provide managed data transformation with automatic scaling and pay-per-use pricing.
Amazon Redshift Data Warehouse
Data warehouse deployment on Amazon Redshift with optimised distribution keys, sort keys, and workload management. Redshift Serverless provides pay-per-query pricing for variable workloads, while provisioned clusters deliver predictable performance for steady analytical demand.
S3 Data Lake with Lake Formation
S3-based data lakes governed by Lake Formation for centralised security, fine-grained access controls, and data cataloguing. Apache Iceberg and Delta Lake provide ACID transactions on S3, while Athena enables serverless SQL queries directly on lake storage.
Real-Time Streaming with Kinesis
Amazon Kinesis implementations for real-time data ingestion and processing at scale. Stream millions of events per second for live dashboards, alerting, fraud detection, and event-driven architectures with managed scaling and guaranteed delivery.
See what aws data engineering services could do for your business.
Book a free 30-minute consultation with our Malta-based AI team — no obligation, just a clear view of your highest-impact opportunities.
Sounds familiar?
"Our sales data lives in three different systems — Shopify, our ERP, and a warehouse management tool — and we can't get a single view of inventory performance"
How Neural AI helps
We build a unified data pipeline that ingests from all three sources, applies consistent business logic, and loads into a data warehouse your BI team can query in real time.
"We process 50,000 transactions per day and our analytics queries take 20 minutes to run — we need a proper data infrastructure that scales"
How Neural AI helps
We architect a streaming-capable data platform using Kafka for ingestion and a columnar data warehouse (BigQuery/Snowflake/Redshift), reducing your query times to seconds.
"Our data pipelines keep breaking every time the source system updates its schema — we spend more time fixing pipelines than doing actual analysis"
How Neural AI helps
We rebuild your pipelines with schema evolution handling, automated data quality checks, and alerting so failures are caught and self-healed before they impact your analysts.
"We want to use AI and ML for route optimisation but our data is scattered, inconsistent, and in five different formats — we've been told our data isn't ready for AI"
How Neural AI helps
We perform a data readiness assessment and build the clean, structured data foundation your ML models need — standardising formats, filling gaps, and creating the feature store for your AI project.
Real deployments. Real results.
GPT Cloud Migration
Complete migration of Malta Tourism Authority legacy licensing data to cloud using GPT-powered NLP for error detection, achieving over 90% reduction in migration errors.
40% cost reduction migrating to AWS cloud-native architecture
Grocery Price Monitoring
An AI-powered system using web scraping and GPT-based NLP for product name matching across Maltese supermarkets, enabling real-time food price comparisons with predictive modelling for pricing trends.
AWS-powered automated data collection across 50+ categories
Read case study → Data Engineering & MLTipico AML
We migrated Tipico's AML data science workflows from KNIME to Python-based big data analytics with AWS Airflow automation, achieving up to 70% faster ETL pipeline execution and improved risk-ranking accuracy.
AWS streaming architecture for real-time transaction monitoring
Read case study →Powered by NeuroStack.
The Neural AI products that power this service — available independently or as part of a custom build.
AWS Data Engineering Services FAQ
Should we use Glue or EMR for data processing?
When should we choose Redshift versus Athena?
How do you manage AWS data costs?
Can you migrate our data platform to AWS?
How do you secure data on AWS?
What about real-time data processing on AWS?
Should we use AWS-native services or open-source alternatives?
Can AWS data services support AI and ML workloads?
Ready to put AI to work in your business?
Book a free 30-minute consultation. We will map your highest-impact automation opportunities and give you a clear, no-obligation proposal.
