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Data engineering

Build the data foundation your AI needs

We design and build data platforms and pipelines that make reliable data available for analytics, machine learning and AI applications.

Tools & partners

Data engineering ensures your data is accessible, clean and primed for advanced analysis.

Data engineering

Challenges we solve

Unifying disparate data sources

Integrate data from operational systems, SaaS tools, files and external sources into a consistent view your teams can use for reporting and AI.

Scaling data infrastructure

Choose architectures that fit how your data is used, from warehouses and lakehouses to specialized stores, sized for current and expected volumes.

Batch and real-time processing

Build batch or streaming pipelines depending on how fresh the data needs to be, with event-driven processing where real-time decisions require it.

Our partners

Driving innovationtogether with our partners

Our data engineering services

We build data pipelines that deliver reliable, relevant data to analytics, ML models and AI applications, along with the data lakes and warehouses that store it.

Architecture Design

We design data architectures matched to your use cases, data volumes and latency requirements, integrating with the platforms you already run.

Data
Integration

Connect data from disparate sources into a consistent, documented model, with access controls that give each team the data it needs.

Data & Platform Migration

Plan and execute data and platform migrations with validation and rollout strategies designed to minimize disruption.

Data Lake & Warehousing

We set up data lakes and warehouses for structured and unstructured data, balancing storage cost, performance and access for analytics and ML workloads.

Data & Cloud Services QA

We set up data quality checks, validation rules and monitoring across your pipelines, so issues are caught before they reach reports or models.

Data Analytics & Data Visualization

Transform raw data into actionable insights through advanced analytics and intuitive visualizations, empowering data-driven decision-making across your organization.

Turn data challenges into
AI opportunities

Case study

Powering SEO insights
with data engineering

A leading SEO platform needed robust data engineering to process terabytes of web traffic data, essential for delivering real-time, actionable insights to their customers.

We built a cloud-based data engineering solution on AWS integrating event-driven and batch processes with a high-performance data warehouse. This approach enabled efficient handling and analysis of massive datasets.