What data platforms do you work with?

Snowflake, Databricks, BigQuery, Redshift, and Azure Synapse. We also work with Kafka, Airflow, dbt, and modern data stack tools. We recommend based on your needs.

Can you help with real-time data pipelines?

Yes. We build streaming pipelines with Kafka, Kinesis, or Pub/Sub for real-time analytics and event-driven architectures alongside batch processing.

How do you handle data quality?

Data quality is built into our pipelines. We implement validation rules, monitoring, data contracts, and automated testing to catch issues before they impact downstream systems.

What's the pricing for data engineering services?

Embedded team model: Precision Pod (€5-6k/month), Pair Pod (€10-11k/month), Mini-Team (€15-16k/month). All include project management and architecture reviews.

How fast can you start?

7-10 business days from signed agreement to engineer embedded in your team.

Blog - HST Solutions

Blogs & Insights

Our thoughts, perspective, and opinions

7 Critical Risk Assessment Frameworks for Enterprise AI Development in 2026

How to Set Realistic AI Project Expectations for Business Success

Complete Guide to Production-Ready Predictive Analytics for Manufacturing SMBs

The Hidden Cost of AI Hype: Why Unrealistic Expectations Are the Leading Cause of Machine Learning Project Failure

Smart Alternatives to Batch Processing When Financial Reporting Delays Threaten Operations

5 Critical Misconceptions About AI Implementation That Cost SMBs Time and Money

How to Build a Data Engineering Team That Prevents Revenue-Critical Audit Risks

How to Build Real-Time Data Pipelines for Faster Financial Reporting and Decision-Making

Managed DevOps Services vs Internal Teams: Which Prevents More SaaS Outages

How to Evaluate Enterprise Software Development Companies in Ireland for Mission-Critical Projects

In-House Development Teams vs Irish Software Consultancies: Cost and Quality Analysis

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