Batch ETL with 24h delay, no real-time visibility into operations.
Stop Deciding on
Stale Data.
Modern data platforms turning raw information into governed intelligence at scale.
Trusted across Europe
Industries we serve.
Engineering teams in regulated, mission-critical industries — every engagement audited, documented, and production-graded.
Banking & Payments
FinTech
PCI-DSS compliant payments and core banking infrastructure — sub-100ms p99 latency, end-to-end audit trail, and tokenization at the edge.
PCI-DSS · ISO 27001
Patient Data
Healthcare
HIPAA-aware patient data pipelines
HIPAA · SOC2
5G & Networks
Telecom
5G core network observability at scale
NFV · ETSI MANO
Retail & Marketplaces
E-Commerce
99.99% uptime during peak traffic events
PCI-DSS · GDPR
Sovereign & Public
Government
Sovereign cloud with full audit trails
eIDAS · FIPS 140-2
Fleet & IoT
Logistics
Real-time fleet tracking & IoT ingestion
MQTT · OPC-UA
PB-ScaleData Processing
Real-TimeStreaming Pipelines
99.9%Data Quality SLA
Multi-SourceIntegration Ready
What we deliver
Our data services
End-to-end data solutions for modern businesses
Cut licensing costs by 70% by moving to modern cloud platforms. We handle seamless migration of databases, warehouses, and data lakes with zero downtime and full data integrity validation.
↓ 70% licensing cost · 0 data lossReplace batch delays with real-time intelligence. We build robust ETL/ELT pipelines with Kafka, Spark, Airflow, and dbt that process data in minutes instead of hours.
real-time to 5min latency · automated orchestrationConsolidate scattered data into a single source of truth. We design and implement scalable storage solutions on Snowflake, BigQuery, Redshift, or Databricks with proper governance.
PB-scale · single source of truthEmpower every team to answer their own questions. We deliver self-service BI dashboards and advanced analytics with Looker, Metabase, or Grafana that drive data-informed decisions.
200+ self-service dashboards · ↓ 80% report timeFeed your AI initiatives with clean, feature-ready data. We build ML pipelines and model deployment infrastructure that turn raw data into predictive analytics.
feature stores · automated training pipelinesMeet compliance requirements while maintaining velocity. We implement data quality frameworks, lineage tracking, access controls, and cataloging that build trust in your data.
99.9% data quality SLA · audit-readyFree assessment
Get a free Data Engineering assessment
Our engineers review your current setup and deliver a prioritized roadmap — no strings attached.
Real Project
Real-Time Data Platform for a Logistics Company
01 / 02
A logistics company relied on batch ETL with 24-hour delays, leaving operations teams blind to real-time fleet activity and driving inefficiency across the supply chain.
Tech stack
Apache KafkaSparkAirflowdbtPostgreSQLRedshiftGrafana
Event-driven streaming platform with Kafka + Spark, dbt for transformations, and Airflow orchestration.
Data latency from 24h to under 5 minutes, 40% reduction in fleet idle time, self-service BI dashboards.
Outcomes & method
Data Engineering for decision-ready teams
A modern data organization requires trusted pipelines, consistent models, and governance that enables teams to move fast without compromising quality. We build the foundations that support analytics, AI initiatives, and operational reporting with clarity and scale.
Business outcomes
- 01
Trusted data for every team
Standardized models, lineage, and validation give stakeholders confidence in every metric.
- 02
Faster decisions at scale
Real-time and batch pipelines deliver clean data to analytics, ML, and product teams.
- 03
Cost-aware infrastructure
Optimized storage, compute, and orchestration reduce waste without sacrificing performance.
How we implement
- 01
Discover & map
We assess your sources, define target architecture, and prioritize high-impact data domains.
- 02
Build & automate
We deliver pipelines, models, and orchestration with monitoring, testing, and governance built-in.
- 03
Operationalize insights
We enable BI, self-service analytics, and ML workflows with ongoing optimization.
Engagement model
How we work
From first call to production — a proven 4-step engagement model that keeps the conversation transparent and the velocity honest.
- 01
Discovery
We audit your current stack, identify gaps, and align on business goals.
- 02
Assessment
A detailed roadmap with priorities, effort estimates, and quick wins.
- 03
Delivery
Our engineers embed with your team and execute sprint by sprint.
- 04
Support
Ongoing monitoring, optimization, and knowledge transfer to your team.
Related disciplines
Related services
Adjacent practices that pair well with this one — most engagements blend two or three.
Common questions
Frequently asked questions
Practical answers about scope, timelines, and how engagements with our Data Engineering team usually look.
A foundational data platform with pipelines, warehouse, and BI typically takes 8-12 weeks. Real-time streaming adds 4-6 weeks. We start with a 2-week assessment to map your data landscape and define priorities.
We work with Snowflake, BigQuery, Redshift, Databricks, Apache Kafka, Spark, Airflow, dbt, Fivetran, and more. We choose tools based on your requirements, existing infrastructure, and team capabilities.
A review of your current data landscape, source systems, pipeline architecture, and analytics maturity. You receive a report with architecture recommendations, tool selection rationale, and a prioritized implementation roadmap.
Yes. We have migrated warehouses from Oracle, SQL Server, and Teradata to modern cloud platforms like Snowflake and BigQuery. We handle schema conversion, ETL refactoring, and data validation with zero data loss.
We implement automated data quality checks at every pipeline stage using tools like dbt tests, Great Expectations, and custom validation frameworks. Anomaly detection, freshness monitoring, and lineage tracking provide end-to-end visibility.
Talk to engineering
Let's talk about your Data Engineering strategy
Whether you're starting from scratch or scaling what you have, our engineers are ready to help.