dbt Consulting & Development Services
From messy SQL scripts to tested, version-controlled data models.
STX Next builds dbt pipelines that your team can actually maintain:
- Full-stack data engineering: dbt + Airflow + Snowflake/Databricks + cloud infrastructure, all under one roof
- Every model ships with tests, documentation, and lineage tracking built into the DAG
- PoC-first approach: validate the architecture on real data before committing to a full build
- AWS Advanced Tier Partner, ISO 27001 certification and production experience across regulated industries
Production-grade dbt implementations backed by 500+ data, AI/ML, and software engineers with 20 years of Python heritage.
dbt Project Design & Architecture
Most failed dbt projects share the same root cause: no upfront architecture. STX Next starts every engagement with a 1–2 week assessment of your existing SQL, warehouse structure, and reporting needs. The deliverable is a documented dbt project structure (staging, intermediate, and mart layers), naming conventions, a testing strategy, and a deployment plan tailored to your warehouse platform.
dbt Migration & Refactoring
Moving from legacy SQL scripts, stored procedures, or Informatica/Talend pipelines to dbt is more than a syntax change. STX Next maps your existing transformation logic, identifies redundancies, and rebuilds it as modular, tested dbt models. Typical migrations run 8–16 weeks depending on the number of source systems and complexity of business logic.
dbt Pipeline Development
STX Next builds production dbt projects from scratch or extends existing ones. This includes writing models, macros, and custom tests, configuring incremental materializations, setting up source freshness checks, and integrating dbt into your orchestration layer (Airflow, Dagster, or Prefect). Every model ships with schema tests and auto-generated documentation.
dbt Cloud Setup & Administration
For teams choosing dbt Cloud over dbt Core, STX Next handles environment configuration, job scheduling, CI/CD integration with your Git provider, and RBAC setup. This includes configuring Slim CI for pull request testing, setting up notification channels, and establishing environment-specific deployment workflows.
Ongoing dbt Support & Optimization
After go-live, STX Next provides ongoing model optimization (query performance tuning, materialization strategy adjustments), test coverage expansion, and on-call support for pipeline failures. Typical support retainers include monthly performance reviews and quarterly architecture audits.
Industrials
Unifying Sensor Data from Multiple Factories into a Single Reporting Layer
A chemical manufacturer collects billions of sensor readings per month across production sites with different SCADA systems and naming conventions. STX Next builds a dbt project that standardizes these disparate sources into a unified staging layer, applies business rules for anomaly detection and downtime classification, and produces plant-level and corporate-level reporting marts.
Financial Services
Automating Reconciliation Reporting for Investment Operations
A wealth management company runs daily reconciliation between custodian data, trade execution records, and portfolio accounting systems. STX Next replaces the manual Excel-based process with a dbt pipeline that ingests all three sources, applies matching logic, flags exceptions, and delivers a reconciliation report by 7 AM daily. Custom dbt tests validate record completeness and cross-source consistency on every run.
Healthcare / MedTech
Building a Regulatory Reporting Pipeline for Clinical Device Data
A medical device company needs to aggregate device telemetry, patient outcome data, and manufacturing batch records into standardized reports for regulatory submissions. STX Next designs a dbt project with source freshness monitoring, incremental models for high-volume telemetry, and marts structured for regulatory report formats.
Technology (AdTech)
Consolidating Campaign Performance Data Across Multiple Ad Platforms
An advertising technology company pulls campaign metrics from 8+ ad platforms into Snowflake. Each uses different attribution models and metric definitions. STX Next builds a dbt project that normalizes all sources into a unified campaign performance model and feeds a real-time dashboard for 50+ media buyers.
See related work: EssenceMediacom, AI-powered media management platform.
Energy
Tracking Carbon Emissions Across a Multi-Site Renewable Portfolio
A renewable energy operator calculates and reports carbon offset metrics across solar and wind installations in multiple countries. STX Next builds a dbt project that ingests generation data, applies country-specific emission factors, and produces quarterly sustainability reports with full test coverage and lineage.
See related work: Solar Monkey, refining photovoltaic performance calculations.
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Ready to transform your industrial business?
Contact us today to refine your marketing strategies with advanced industrial solutions.
FAQs
Does STX Next have real experience in the industrial sector?
Yes. STX Next has delivered production-grade software for enterprise companies across manufacturing, chemicals, energy, logistics, and construction. Our experience includes large-scale IoT data platforms, predictive maintenance systems, cloud migrations, and AI tools for clients such as Linde, Canon Production Printing, Hemiko, and Boart Longyear.
Can you modernize legacy industrial systems without disrupting operations?
Absolutely. We specialize in low-risk modernization of mission-critical industrial systems. Our teams migrate legacy on-premise applications to cloud-native architectures incrementally, ensuring production continuity, secure connectivity, and minimal operational disruption.
What types of industrial companies do you work with?
We work with enterprise organizations in manufacturing, chemicals, oil & gas, renewables, utilities, logistics, supply chain, construction, and mining. Our solutions support Industry 4.0 initiatives, industrial IoT platforms, energy management systems, and complex B2B operational software.
What technologies does STX Next use for industrial software development?
Our core stack includes Python, cloud platforms (AWS, Azure), containerization technologies (Docker, Kubernetes), IoT ingestion tools (Azure Event Hub, Azure Data Explorer), Infrastructure as Code (Terraform), and modern data platforms designed to handle high-volume telemetry and operational data.
Do you support large-scale industrial data ingestion and analytics?
Yes. We build industrial data foundations capable of processing massive telemetry streams – including 100M+ records per day – and unifying sensor, ERP, logistics, and operational data into analytics-ready platforms for real-time monitoring and decision-making.
Can you help implement AI safely in industrial environments?
Definitely. We focus on practical, production-ready AI use cases such as predictive maintenance, computer vision for quality control, and RAG-based knowledge assistants for technical documentation. All solutions are deployed with strong security controls and can run on private or hybrid cloud infrastructure.
Do you build internal operational tools or customer-facing industrial platforms?
Both. We develop internal systems for engineers, plant managers, and operations teams, as well as customer-facing industrial platforms such as configuration and quoting engines, logistics portals, and B2B marketplaces – always optimized for performance and reliability.
How do you handle security and reliability in industrial software projects?
Security and reliability are foundational. STX Next is ISO 27001 certified, and we design systems with secure connectivity, access control, observability, and auditability in mind. Our architectures are built to support high availability, fault tolerance, and the physical realities of industrial operations.
What makes STX Next different from a typical industrial software vendor?
We combine deep industrial domain knowledge with strong engineering and data expertise. Our teams understand the physical processes behind the software – from factory floors to energy grids – and deliver solutions that scale, remain secure, and generate measurable operational impact.
