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Azure Data Engineering Services Malta

Azure data engineering services in Malta. Build data solutions on Microsoft Azure using Data Factory, Synapse Analytics, Databricks.

Azure 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.

  • Azure Data Factory Pipelines

    Visual and code-based data pipeline development using Azure Data Factory with 100+ managed…

  • Azure Synapse Analytics

    Unified analytics workspaces combining serverless SQL pools, dedicated SQL pools, Spark cl…

  • Azure Databricks Integration

    Databricks deployments on Azure with proper VNet integration, Azure Active Directory authe…

  • Azure Purview Data Governance

    Microsoft Purview implementation for automated data cataloguing, sensitivity classificatio…

Live in weeks, not months.

We evaluate your current Azure footprint, Active Directory setup, network topology, and security requirements. For organisations new to Azure, we assess workload requirements and design the initial Azure landing zone.

We design the Azure data architecture selecting appropriate services for each workload component. Service selection balances capability, cost, operational complexity, and team skills across Data Factory, Synapse, Databricks, and supporting services.

We deploy Azure data infrastructure using Bicep or Terraform for infrastructure-as-code. Networking, security, identity, and monitoring are configured according to Azure Well-Architected Framework principles.

We build data pipelines in Data Factory and transformation logic in Synapse SQL, Spark, or Databricks. Each component includes testing, monitoring, and documentation following Azure engineering best practices.

We connect your Azure data platform to Power BI with optimised DirectQuery or import connections, semantic models, and row-level security. Ensure dashboards perform well and governance policies are enforced.

We transfer operational knowledge including monitoring dashboards, alert configurations, cost management practices, and runbooks. Your team receives training on Azure data service administration and troubleshooting.

Everything you need. Nothing you don't.

Azure Data
Factory Pipelines
Azure Synapse
Analytics
Azure Databricks
Integration
Azure Purview
Data Governance

Sounds familiar?

Head of Data, retail group
"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"

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.

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.

Azure Data Engineering Services FAQ

Should we use Synapse or Databricks on Azure?
Synapse is ideal for SQL-centric analytics with tight Power BI integration and simpler operational management. Databricks excels at complex data engineering, streaming, and ML workloads with superior Spark performance. Many organisations use both: Synapse for SQL analytics and serving, Databricks for data processing and ML. We recommend based on your workload mix.
How does Azure Data Factory compare to Apache Airflow?
Data Factory provides a visual, managed pipeline orchestration experience with native Azure connectors and minimal infrastructure management. Airflow provides more flexibility and code-first orchestration but requires cluster management. Data Factory is often the better choice for Azure-centric teams, while Airflow suits multi-cloud or complex orchestration requirements.
Can you migrate our on-premises data to Azure?
Yes, we handle complete data platform migrations from on-premises SQL Server, Oracle, and other databases to Azure. Migration strategies include Azure Database Migration Service, change data capture, and parallel running. We validate migrated data thoroughly and maintain rollback capabilities throughout the transition.
How do you handle Azure data costs?
Azure data costs are managed through reserved capacity for predictable workloads, auto-pause for development environments, serverless options for variable workloads, and storage tiering for cold data. We implement cost management tags, budget alerts, and regular optimisation reviews to maintain cost efficiency.
What about Fabric versus traditional Azure data services?
Microsoft Fabric consolidates multiple Azure data services into a unified SaaS experience with simplified licensing. For new implementations, Fabric may simplify your architecture. For existing Azure deployments, we evaluate whether Fabric migration provides meaningful benefits. We advise based on your specific situation and readiness.
How do you secure sensitive data in Azure?
We implement network isolation with Private Endpoints, identity-based access with Managed Identity, encryption with customer-managed keys, data classification with Purview, and comprehensive audit logging. Azure Defender monitors for threats, and Azure Policy enforces compliance rules across your data infrastructure.
Can you integrate Azure data with non-Microsoft tools?
Absolutely. Azure data platforms integrate with open-source tools including Airflow, dbt, Spark, and Kafka, as well as third-party BI tools like Tableau and Looker Studio. We design architectures that leverage Azure strengths while maintaining flexibility to use the best tool for each workload.
Do you provide managed Azure data operations?
Yes, we offer ongoing managed operations for Azure data platforms including monitoring, incident response, pipeline maintenance, performance tuning, and cost optimisation. This service suits Malta organisations that want expert data operations without building a full internal platform team.

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Book a free 30-minute consultation. We will map your highest-impact automation opportunities and give you a clear, no-obligation proposal.