We have built data platforms, data strategies, and models to support back, middle and front office in how they operate, and find new areas for potential investment through data-driven decision making.
Data specialism is rare in the industry, and we can offer a unique skillset of world class engineering combined with deep industry understanding.
Using Data to lower cost and drive innovation is the only way for traditional incumbents and new entrants to survive in a rapidly changing industry environment.
We help build new products and asset types that are differentiated from the competition and get to market quickly to respond to changing client needs
We build the connectivity between your internal data and your external suppliers and clients of data to improve customer experience and understanding
We build models and use strong data engineering to transform the cost and speed at which your operations are conducted
We align business goals with data initiatives to deliver quantifiable data results for your organisation and the people within it
bigspark use cutting edge technology to implement industry best practices using the following…
Infrastructure Provisioning and DevOps
Linux, Terraform, Docker, Kubernetes, Helm
Big Data Technologies
DBT, Spark, SQL, Kafka, Flink
Data Pipelines & Orchestration
Airflow, StreamSet, Mage
Code Versioning
Git, SVN
Programming
Java, Scala, Python
Data Warehouse, Data Lake, Lakehouse
Snowflake, Databricks, Redshift
Cloud Compute and Storage
AWS, Azure, GCP
