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

9 Critical Architecture Patterns That Prevent SaaS Downtime for Growing Companies

How to Build a Security-First DevOps Pipeline for Regulated Industries in Europe

Understanding How Poor Data Quality Undermines AI Models: A Technical Leader’s Guide

In-House Data Engineering Teams vs External Consultancies: A Cost and Risk Analysis for European SMBs

How to Diagnose and Fix Data Flow Failures in Production Systems Before They Impact Revenue

5 Critical Criteria for Selecting Legacy System Migration Partners for Enterprise Applications

7 Critical Enterprise Software Development Challenges That Demand Senior Engineering Expertise

What Forward-Deployed AI Engineering Means for EU Fund Administrators Under DORA

Modern Alternatives to Traditional ETL Tools for Production Data Flow Monitoring

7 Critical Causes of Software Project Failure That European SMBs Must Avoid

How to Evaluate Custom Software Engineering Providers for Multi-Year Digital Transformation Projects

10 Hidden Reasons Why Enterprise Software Projects Fail Despite Large Budgets

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Blogs & Insights

In-House Data Engineering Teams vs External Consultancies: A Cost and Risk Analysis for European SMBs

Understanding How Poor Data Quality Undermines AI Models: A Technical Leader’s Guide

How to Build a Security-First DevOps Pipeline for Regulated Industries in Europe

9 Critical Architecture Patterns That Prevent SaaS Downtime for Growing Companies