Data Engineering
Pipelines, warehouses and the infrastructure that makes AI systems and analytics trustworthy.
Overview
What we actually deliver.
Reliable data is the unglamorous foundation of every AI and analytics initiative. We build the pipelines, warehouses and governance that make dashboards trustworthy, models reproducible and audits painless. Learn about our fintech expertise.
Core Capabilities
- ELT pipelinesTRUE
- Data warehousingTRUE
- Vector & searchTRUE
- Streaming & CDCTRUE
- Data governanceTRUE
- Analytics engineeringTRUE
Telemetry & Metrics · Data Engineering
Architecture & Scope
Services tailored to your stage.
ELT pipelines
Idempotent, observable pipelines with lineage and SLAs, utilizing Airflow, dbt, Dagster, Fivetran.
Lakehouse & warehousing
Snowflake, BigQuery, Databricks and Redshift modelled with semantic layers your business can query.
Streaming & CDC
Kafka, Debezium and Flink for real-time events, fraud detection and live operational dashboards.
Vector & search
Embeddings, hybrid search and retrieval infra for AI products that need to find the right context.
Governance & quality
Catalogs, contracts, data tests and access policies, ensuring that trust scales with the platform.
Data Observability
Automated anomaly detection and data quality monitoring to prevent bad data from reaching downstream models.
Execution Model
A delivery rhythm built for quality.
Discover
Workshops with stakeholders to map the problem, success metrics, and constraints. We establish a clear, written problem statement and a prioritised backlog.
Design
Architecture planning, UX research, and technical spikes. Risky decisions are tested cheaply before they become expensive.
Build
Two-week increments with weekly demos, working software in staging, and a transparent burn-up of scope.
Launch & Evolve
Hardening, production observability, team training, and a sustainment plan. We stay aligned post go-live.
Outputs
What you walk away with.
- >Reference data architecture
- >Modelled warehouse
- >Pipelines & dbt project
- >Quality & lineage tooling
- >Analyst enablement
Technology
Tools we live in.
// Production hardened
No anonymous outsourcing. Every system built under direct review of senior architects and tested continuously.
Engagement Matrix
Models built for your stage.
Embedded Squad
A fully integrated, multi-disciplinary team of senior engineers and a product lead working directly in your Slack and GitHub.
Target Profile
Rapidly scaling products
Project-Based
Fixed-scope, milestone-driven delivery where we own the architecture, build, and launch of a standalone product or feature.
Target Profile
New MVPs & greenfield systems
Spike & Discovery
An intensive 2-week technical sprint to validate assumptions, build interactive prototypes, and map architectural risks.
Target Profile
Validating complex integrations
Fractional Advisory
Part-time CTO consulting, technology audits, security reviews, and strategic roadmapping for engineering leadership.
Target Profile
Growth-stage tech strategies
System Queries
Frequently asked questions.
We favor ELT (Extract, Load, Transform) using tools like Fivetran/Airbyte to load raw data, and dbt to run transformations inside high-performance data warehouses like Snowflake.
We write automated data quality tests at the pipeline level using Great Expectations or dbt tests, catching schema drift and anomalies before reports break.
We design pipelines with PII masking, tokenization, strict access controls (RBAC), and automated retention policies so personal data is protected at rest.
We build real-time streaming architectures using Apache Kafka, Redpanda, or AWS Kinesis, paired with CDC (Change Data Capture) systems for immediate syncing.
Ready to ship data engineering?
> Tell us what you're building. We'll architect the pipeline.