Data Engineering Services 

Build the Data Foundation Your Business Needs to Scale 

Atlantick Solutions designs and delivers scalable data pipelines, cloud data platforms, and engineering infrastructure that make your data reliable, accessible, and ready for analytics and AI. 

Set your product idea in motion

Reliable Data Infrastructure, Built to Last 

Good analytics and AI only work when the underlying data is clean, structured, and trustworthy. Atlantick Solutions helps startups and mid-size companies build the data engineering foundation that makes everything else possible. From designing ETL and ELT pipelines to building cloud data warehouses and implementing data governance frameworks, our engineers create infrastructure that integrates your data sources, eliminates silos, and ensures your team always has access to accurate, up-to-date information. We build for your current needs and your future scale. 

Data Engineering Services We Provide 

Server and Storage ManagemData Pipeline Developmentent
We design and build automated ETL and ELT pipelines that collect, transform, and load data from multiple sources into your target systems reliably, efficiently, and at scale.
Cloud Data Warehouse and Data Lake Architecture
We design and implement cloud-native data warehouses and data lakes on AWS, Azure, and Google Cloud that give your organisation a scalable, centralised foundation for analytics and reporting.
Data Integration
We connect disparate data sources including CRMs, ERPs, third-party APIs, and legacy systems into a unified data environment, breaking down silos and creating a consistent single source of truth.
Real-Time Data Streaming
We build real-time data streaming solutions that enable your organisation to ingest, process, and act on data as it is generated, supporting faster decisions and more responsive applications.
Data Quality and Governance
We implement data quality frameworks, cataloguing systems, and governance policies that ensure your data is accurate, consistent, secure, and compliant with relevant regulations throughout its entire lifecycle.
Data Platform Modernisation
We help organisations migrate from legacy data infrastructure to modern, cloud-native platforms, reducing costs, improving performance, and enabling the analytics and AI capabilities your business needs.

Why Companies Choose Atlantick Solutions for Data Engineering 

Built for Your Stack 

We design solutions that integrate with your existing systems and technology choices, not generic architectures that require you to rebuild from scratch. 

Scalable from Day One 

Our data engineering solutions are designed to grow with your business, handling increasing data volumes and new sources without requiring a complete rebuild. 

Data You Can Trust 

We implement quality controls and governance frameworks at every stage of your data pipeline so your teams always work with accurate, consistent information. 

Faster Time to Insight 

By automating data collection, transformation, and loading, we eliminate the manual effort and delays that slow down your analytics and decision-making processes. 

Long-Term Partnership 

We do not just build your platform and leave. We provide ongoing support, optimisation, and architecture guidance as your data needs evolve. 

 

Your Data Engineering Journey with Atlantick 4 Simple Steps 

Step 1 Assessment

We audit your current data sources, infrastructure, and business requirements to identify gaps, inefficiencies, and opportunities. You receive a clear architectural recommendation and a prioritised delivery plan. 

Step 2 Architecture Design

Our engineers design a tailored data architecture covering pipelines, storage, integration, and governance. Every design decision is reviewed and approved by your team before we begin building. 

Step 3 Build and Integrate

We build and deploy your data engineering solution in structured phases, connecting your sources, validating data quality, and ensuring seamless integration with your analytics and reporting tools. 

Step 4 Optimise and Support

Post-deployment, we monitor pipeline performance, address data quality issues, and continuously optimise your infrastructure as your data volumes and business requirements grow. 

The Technology Behind Our Data Engineering Services 

Atlantick Solutions uses proven, cloud-native tools to build reliable and scalable data infrastructure for your business. 

Discover our tech stack

  • Apache Kafka
  • Snowflake
  • Databricks
  • Azure Data Factory
  • PostgreSQL

“We were running reports manually every week from five different spreadsheets. Atlantick built us a fully automated data pipeline that consolidates everything into a single warehouse. We went from spending two days preparing data to having live dashboards updated in real time. It completely changed how our team operates.” 

James Whitfield  |  Head of Data, NovaBridge Technologies, London 

Frequently Asked Questions

Q: What is data engineering and why does my business need it? 

A: Data engineering involves building the infrastructure and pipelines that collect, transform, store, and make your data accessible for analytics and AI. Without solid data engineering, analytics tools and machine learning models cannot function reliably. Good data engineering is the foundation every data-driven business needs. 

Q: Which cloud platforms does Atlantick Solutions work with? 

A: We work with AWS, Microsoft Azure, and Google Cloud Platform. We also work with leading cloud data warehouse platforms including Snowflake, Databricks, and BigQuery, and can recommend the right combination for your requirements and budget. 

Q: Can you work with our existing data infrastructure? 

A: Yes. We assess your current setup and design solutions that integrate with and extend your existing systems. We do not require you to start from scratch unless a full rebuild is genuinely the most practical path forward. 

Q: How do you handle data quality and governance? 

A: We implement data quality checks, validation rules, and monitoring throughout your pipelines. We also set up cataloguing and lineage tracking so your team understands where data comes from and can trust what they are working with. 

Q: What is the typical timeline for a data engineering project? 

A: A focused pipeline build or data integration project typically takes 4 to 10 weeks. Larger platform builds or legacy migrations are delivered in structured phases over 3 to 6 months depending on scope and complexity. 

Q: Can you support real-time data as well as batch processing? 

A: Yes. We design solutions that support both batch and real-time streaming depending on your use case. We select the right architecture for your latency requirements and data volumes. 

Ready to Build a Data Foundation That Powers Your Business?

Whether you need your first data pipeline, a modern cloud data warehouse, or a complete data platform overhaul, Atlantick Solutions has the engineers and experience to deliver. Start with a free data infrastructure assessment and get a clear picture of what is possible. 

Schedule Your Free Assessment with Atlantick Today

Get in touch

Drop us a line about your project at or via the contact form below, and we will contact you soon.

Anosh Ilavia (CEO)