Data Engineering Services & Solutions

Gain clarity, speed and control in your data operations

Big data is messy. Integrating sources, ensuring quality, enabling real-time decisions – it can all feel like a maze.

Without the right partner, you risk mounting costs, scattered tools, and data that doesn’t deliver.

At STX Next, we cut through the noise. Our end-to-end data engineering services bring structure, performance, and clarity to your entire data ecosystem.

Tell us about your data engineering needs

Our experts can join your team in under two weeks and start delivering secure, scalable solutions.

let's talk

Unified Data Platforms

Break down data silos. We design scalable cloud-native platforms with real-time streaming and pipelines built for performance and flexibility. Our automated QA ensures clean, consistent data for all your analytics and AI use cases.

AI-Powered Analytics

Go beyond dashboards. We combine analytics and AI to give you insights you can act on. From workflow optimization to user behavior predictions, our explainable models help your team make confident, real-time decisions.

Real-Time Event Handling

Mission-critical decisions need instant data. We deliver high-speed streaming and anomaly detection to help you monitor operations, prevent fraud, and respond fast. Perfect for IoT, fintech, and logistics.

Tech expertise

We’re not just about listing tech names; we bring deep skills to choose and use the right tools:

Databases & Storage

Snowflake, Redshift, BigQuery, Databricks, Kafka, Airflow, PostgreSQL, TimescaleDB

Streaming & Real-Time

Apache Kafka, Flink, Kinesis, OpenTelemetry, Apache Beam

Data Quality & Observability

Great Expectations, Monte Carlo, Tableau, Superset, Datafold, Soda SQL

Cloud & Infrastructure

AWS, GCP, Azure, Kubernetes, Terraform, dbt Cloud, Looker, Prometheus, Grafana

AI/ML & Data

TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Spark, Airflow, ML Ops platforms

APIs & Messaging

REST, GraphQL, gRPC, RabbitMQ, Kafka

DevOps & Quality

Jenkins, GitLab CI, GitHub Actions, Prometheus, Grafana, ELK Stack, Cypress, Selenium, Pytest, SonarQube

Way of Working

Scrum, Kanban, Extreme Programming (XP), custom approach (e.g., hybrid), DevOps, Test-Driven Development (TDD), Behavior-Driven Development (BDD), Product Management, Project management, Waterfall, Prince2 Agile

Why choose STX Next?

When complexity demands specialists, STX Next stands out among leading web development companies for your data engineering solutions:

Engineers, Not Just Developers

Our team of over 500 specialized engineers evolved from Python pioneers to AI & Data leaders. We solve the hard technical problems generalists shy away from.

Decades of Experience

Our 20+ years of experience and focus on architecture, testing, and security best practices significantly reduce the risk of project failure, technical debt, and costly mistakes.

Specialized Expertise

Need to unify fragmented data, ensure GDPR compliance, or support both BI and ML workloads? That's our sweet spot. We bring niche skills you can't easily hire or find in generalist firms.

Reliable Processes

Our mature, battle-tested processes ensure transparency and minimize surprises, delivering complex projects more reliably than less experienced teams.

Strategic Technical Partnership

We provide more than code; we offer proactive technical guidance, challenge assumptions constructively, and make sure the solution aligns with your long-term business goals.

Proven Problem Solvers

A track record of successfully untangling complex legacy systems, architecting for massive scale, and delivering innovative features others deemed impossible.

Industries we serve

At STX Next, we don’t believe in one-size-fits-all solutions – instead, we partner with you to create data systems that align with your business reality and drive measurable results.

Finance

Financial services thrive on real-time, secure data. We help fintechs and institutions handle complex pipelines and deliver insights fast.

Real-time fraud detection

Leverage streaming data pipelines to detect suspicious activity as it happens, minimizing losses and protecting users.

Customer segmentation and scoring

Build unified data models that support precise risk assessments and enable hyper-personalized financial products.

Regulatory reporting

Automate compliance workflows with accurate, up-to-date data pipelines aligned with standards like PSD2, AML, or SEC guidelines.

eCommerce

Retailers need insights that are fast, actionable, and reliable. We build systems that power smarter product, inventory, and customer decisions.

Dynamic inventory forecasting

Use predictive data models to anticipate demand shifts and maintain optimal stock levels.

Customer behavior analytics

Merge data from web, mobile, and CRM systems to better understand customer habits and optimize conversion funnels.

Pricing optimization

Implement real-time data feeds to monitor competitor prices and adjust yours dynamically to boost revenue.

Healthcare

Data in healthcare must be secure, accurate, and interoperable. Our solutions help healthcare companies unlock patient insights while staying compliant.

Medical data integration

Consolidate fragmented data from EMRs, labs, and third-party platforms into a single source of truth for better patient care.

Predictive health analytics

Enable early intervention with ML-powered models that detect patient deterioration risks in real-time.

Compliance-focused data architecture

Ensure HIPAA and GDPR compliance with structured data governance and secure access controls.

Manufacturing

Operations move fast. We help optimize production, reduce downtime, and make data a core driver of your efficiency.

IoT data stream processing

Capture telemetry from industrial sensors and convert it into actionable insights to improve performance and reduce failures.

Supply chain forecasting

Enable accurate demand planning and inventory distribution based on real-time data and historical trends.

Energy and resource optimization

Track usage across facilities and automatically identify inefficiencies that inflate operational costs.

Education

EdTech relies on data to enhance learning outcomes and product engagement. We help teams build platforms that scale and adapt.

Learning progress dashboards

Aggregate student performance data in real time to help educators tailor teaching strategies.

Content recommendation engines

Deliver adaptive learning paths powered by AI and data-driven user profiling.

Operational data centralization

Unify siloed administrative data into a single platform to streamline planning, budgeting, and resource allocation.

Marketing

The right data pipeline can turn campaign chaos into insight-driven performance. We support marketing teams in building scalable systems for attribution, targeting, and optimization.

Cross-channel attribution modeling

Gather touchpoints across campaigns to understand which channels drive ROI and optimize media spend.

Content performance tracking

Build live dashboards powered by real-time metrics to guide campaign tweaks while they’re still running.

Audience targeting systems

Create data models that fuel personalized content delivery and campaign segmentation.