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Data Engineering & DataOps

Pipelines, warehouses, and operational data systems that turn raw data into reliable, decision-ready intelligence.

< 1s Pipeline latency
99.9% Data availability
100% Tested pipelines
10M+ Events/day handled

Data that your business can act on

Data You Can Trust

Validated, tested pipelines with data quality checks at every stage — so your reports and dashboards reflect reality, not approximations.

DataOps Velocity

CI/CD for data — versioned pipelines, automated testing, and observable workflows that move at engineering speed.

Full Observability

Pipeline monitoring, lineage tracking, and alerting so your team knows exactly where data is, what happened to it, and why.

Built for Scale

Architectures that handle millions of events per day without rewrites — cloud-native, cost-optimised, and production-ready from day one.

End-to-end data capabilities

Data Pipeline Engineering

  • Batch & streaming pipeline design
  • Apache Kafka & Flink event streaming
  • Apache Airflow & Dagster orchestration
  • ETL/ELT workflow automation

Data Warehouse & Lakehouse

  • Snowflake, BigQuery, Redshift design
  • Delta Lake & Apache Iceberg
  • dbt modelling & transformation
  • Medallion (bronze/silver/gold) architecture

DataOps & Governance

  • Data quality testing (Great Expectations)
  • Data lineage & cataloguing
  • Metadata management
  • GDPR & data privacy compliance

Analytics Engineering

  • BI platform setup (Metabase, Looker, Power BI)
  • Self-serve analytics enablement
  • KPI modelling & metric definition
  • Executive dashboard delivery

Our data stack

Apache KafkaApache AirflowdbtSnowflakeBigQueryRedshiftDelta LakeSparkFlinkDagsterGreat ExpectationsMetabaseLookerPython

Let's build something extraordinary

Tell us about your project and we'll map a path forward within one business day.