02 / Data Engineering

Turn fragmented data into a dependable platform.

Your operational systems generate the data. We engineer the pipelines, warehouses and transformation layers that make it trustworthy, queryable and ready for analytics and AI.

Discuss data engineering

Data Engineering

Turn fragmented operational data into a reliable platform for reporting, automation and AI — with quality and lineage built in, not retrofitted.

Data warehousing

Snowflake, Redshift or BigQuery implementations with dimensional modelling, optimised for analytical queries.

ETL/ELT pipelines

Airflow, dbt, Fivetran orchestration for reliable, scheduled ingestion from operational systems to the warehouse.

Real-time streaming

Kafka, Kinesis event streams for low-latency data movement, fraud detection and operational dashboards.

Data quality & governance

Validation rules, anomaly detection, lineage tracking and data catalogues so teams trust what they query.

Analytics engineering

dbt transformations, semantic models and metrics layers that turn raw data into business-ready datasets.

ML/AI data preparation

Feature stores, training datasets and inference pipelines that bridge data engineering and machine learning.

Our approach

Data infrastructure built to evolve.

Quality from the start

Data validation and quality checks run at ingestion, transformation and query time — not after someone finds the wrong number in a report.

Incremental not waterfall

Ship a working data product first, then iterate. Start with one source system and the most critical reports, expand from there.

Lineage you can trace

Every metric is traceable to its source table, transformation and business logic. When a number is questioned, the audit trail exists.

Built for handover

Documentation, testing and maintainable code are part of delivery — not an afterthought reserved for the end.

Platforms & technologies

Proven stack for data engineering.

Data cloud

Snowflake

Transformation

dbt, SQL, Python

Orchestration

Apache Airflow, Prefect

Streaming

Kafka, AWS Kinesis

Data ingestion

Fivetran, Airbyte, custom connectors

Cloud

AWS (S3, Glue, Redshift, Athena)