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/ Fractional Teams /

Hire Data Engineers

Hire experienced data engineers from Neural AI. Expert data engineers for pipeline development, data warehousing, ETL/ELT.

Book a free consultation → See how it works
/ the solution /

Hire Data Engineers 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.

  • Data Pipeline Architecture & Development

    Our data engineers design and build robust, scalable data pipelines using Apache Spark, Ai…

  • Cloud Data Platform Engineering

    Deep expertise across AWS, Azure, and Google Cloud data services including Redshift, Snowf…

  • Data Warehouse & Lake Design

    Expert dimensional modelling, data vault methodology, and lakehouse architecture design. O…

  • Data Quality & Governance Engineering

    Implementation of comprehensive data quality frameworks including automated validation, sc…

/ how it works /

Live in weeks, not months.

We evaluate your current data infrastructure, technology stack, pipeline architecture, and team capabilities. This assessment identifies the specific data engineering skills and experience levels required for your project.

From our Malta-based bench, we identify data engineers with relevant platform certifications, domain experience, and architectural expertise. You interview candidates and select the best match for your team.

Selected engineers onboard quickly with structured access provisioning, architecture walkthroughs, and coding standards alignment. They are productive within days, contributing to your data engineering backlog immediately.

Engineers deliver data pipeline components iteratively with regular code reviews, architecture discussions, and demo sessions. Continuous collaboration ensures alignment with your data strategy and quality standards.

Comprehensive documentation of pipeline architectures, operational runbooks, and design decisions. Structured knowledge transfer sessions ensure your team can operate and extend data systems independently.

Scale your data engineering team dynamically based on project needs. Add specialists for migration sprints, reduce headcount during maintenance phases, and adjust expertise profiles as your data platform evolves.

/ what you get /

Everything you need. Nothing you don't.

Data Pipeline Architecture
& Development
Cloud Data
Platform Engineering
Data Warehouse &
Lake Design
Data Quality &
Governance Engineering
/ built for your situation /

Sounds familiar?

Head of Analytics, retail group
"We have a 4-month data platform migration project but our single data engineer is already fully booked — we need another senior pair of hands to run the project"

We provide a senior fractional data engineer who can own the migration project end-to-end, working alongside your team on a monthly retainer for the duration of the project.

How Neural AI helps

We provide a senior fractional data engineer who can own the migration project end-to-end, working alongside your team on a monthly retainer for the duration of the project.

/ proof /

Real deployments. Real results.

Business Intelligence

Social Benefits Dashboard Data Pipeline

Two interactive public-facing dashboards using Google Looker Studio for real-time monitoring of social benefits and expenditure data across Malta.

12 data sources unified

Read case study →
Business Intelligence

Compre Group Analytics Dashboard

Power BI dashboard providing comprehensive visibility into payables, costs, and financial operations for Compre Group's insurance business.

Real-time data processing

Read case study → Business Intelligence

Film Sector Power BI Data Integration

Custom Power BI backend for the Malta Film Commission tracking diversity, equity, and inclusion across crews, productions, trainees, and departments.

85% reporting time reduction

Read case study →
/ questions /

Hire Data Engineers FAQ

What cloud platforms do your data engineers specialise in?
Our data engineers hold certifications across AWS, Azure, and Google Cloud. They have deep expertise in services like Redshift, S3, Glue, and Kinesis on AWS, Synapse, Data Factory, and ADLS on Azure, and BigQuery, Dataflow, and Pub/Sub on Google Cloud. Many engineers also specialise in Databricks and Snowflake across all major clouds.
Can your data engineers work with our existing on-premise infrastructure?
Yes, our engineers have experience with on-premise data systems including Hadoop, traditional RDBMS platforms, and on-premise ETL tools. They frequently work on hybrid architectures and cloud migration projects, bridging on-premise and cloud environments seamlessly for Malta organisations transitioning their data infrastructure.
How do you ensure data security and confidentiality?
All our data engineers sign comprehensive NDAs and comply with your security policies. They work within your secure environments using your approved access methods. Our Malta-based team follows strict data handling protocols and we support compliance with GDPR, MGA, and industry-specific regulatory requirements.
What is the typical engagement duration for data engineers?
Engagements range from three-month focused projects to multi-year embedded placements. Most clients start with a six-month engagement that covers a major pipeline build or platform migration, then extend based on outcomes. We offer thirty-day notice periods for maximum flexibility.
Do your data engineers handle real-time streaming data?
Absolutely. Our engineers have extensive experience with Apache Kafka, Apache Flink, AWS Kinesis, Azure Event Hubs, and Google Pub/Sub. They build real-time streaming architectures for use cases including live dashboards, event-driven processing, fraud detection, and operational monitoring systems.
How do your data engineers collaborate with data scientists and analysts?
Our engineers understand the downstream needs of data scientists and analysts intimately. They build pipelines that deliver clean, well-documented, and reliably scheduled data in formats optimised for analytics and ML workloads. They actively participate in cross-functional data team ceremonies and planning sessions.
Can we hire a team of data engineers for a large migration project?
We regularly provide data engineering squads of two to six engineers for large-scale migrations, platform builds, and data transformation programmes. Teams include specialists in source system extraction, transformation logic, data quality, and target platform optimisation for comprehensive project coverage.
What differentiates Neural AI data engineers from freelance contractors?
Our engineers are part of a managed team with engineering management oversight, quality assurance processes, and peer review structures. Unlike freelancers, they have access to Neural AI's collective expertise, internal knowledge base, and proven architectural patterns. We provide replacement guarantees and continuity planning that individual contractors cannot offer.
/ get started /

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