We typically begin onboarding within 7–10 business days from contract execution. This includes assigning your dedicated engineer(s) and initiating a detailed project onboarding session to align objectives and scope before work begins.

 A dedicated data engineer is a full-time resource embedded with your team, focused solely on your data pipelines, architecture, and delivery outcomes. This resource works exclusively on your account, supported by HST’s wider architecture, DevOps, and QA capabilities.

 We integrate seamlessly with your project processes. Your dedicated engineer engages in your planning cycles, stand-ups, design reviews, and sprint demos. We also provide weekly architecture reviews, structured reporting, and coordination with stakeholders to maintain alignment. 

Our data engineers work with major cloud platforms and data stack components including but not limited to: Snowflake, Databricks, AWS (Glue, Redshift, S3, Lambda), Azure (Data Factory, Synapse), BigQuery, Airflow, Kafka, and CDC/streaming services. We mirror your existing stack rather than forcing new tooling.

Unlike a contractor, your dedicated HST engineer is backed by a full support team (project management, architecture reviews, DevOps assist, QA) and structured SLAs. Accountability, documentation, and continuity are built into the engagement rather than left to individual effort.

 All work delivered for your project is owned by your organisation. You retain code, architecture diagrams, runbooks, and related deliverables once developed. HST does not retain rights to proprietary artefacts created specifically for your engagement.

We offer a swap guarantee within the first 2 weeks if the assigned engineer is not meeting expectations. We will replace the resource at no additional cost and ensure a smooth transition to maintain momentum. 

Yes — dedicated resources can be allocated on a full-time or part-time basis depending on your requirements. We can also structure engagements to balance on-site collaboration with offshore support to optimise cost and delivery efficiency.

Our engineers implement end-to-end data testing, monitoring, alerting, and CI/CD practices. Quality gates and observability tooling are integrated into pipelines to promote trust in your data and minimise production breakages. 

 HST has experience across regulated sectors such as financial services, insurance, healthcare, and enterprise analytics. Our assignment process emphasises matching engineers with domain context and compliance requirements where applicable.