Data Engineering
The data foundation your AI actually needs.
There's no reliable AI without clean data. We build the data platform your AI initiatives and decisions run on — from strategy through architecture to governance and operations.
Does this sound familiar?
- 01Data is scattered across silos — nobody knows exactly what lives where and what can be trustedfound
- 02Reports take days because data is gathered and reconciled by handfound
- 03AI initiatives fail on incomplete, inconsistent or outdated datafound
- 04Grown one-off solutions instead of one scalable, shared platformfound
- 05GDPR and AI Act requirements are unresolved, and nobody owns themfound
- 06Data quality is checked manually — if at allfound
From data strategy to a production platform
We combine data strategy, platform build-out and governance — using the tools that fit your environment: Apache Kafka, Flink, Airflow, ELK, Snowflake and Databricks.
Strategy, not sprawl
We clarify what data you have, where it lives, and how to get to consistent, reliable data — including the governance processes to keep it that way.
A platform, not another silo
Data lakes, warehouses and lakehouse architectures, including ETL/ELT pipelines, streaming and real-time processing.
Compliant, not risky
GDPR, the EU AI Act and data governance — we make your data usable and compliant, with automated quality checks built in.
What you gain
- A consistent, reliable data foundation for AI models and decisions
- Reporting cut from days to minutes
- Real-time data processing for operational decisions
- GDPR- and AI Act-compliant data architectures
- Automated quality checks instead of manual review
- A scalable platform instead of accumulated point solutions
- Clear data governance with defined ownership
- Technology choices that fit your existing environment
Four steps to a resilient data platform
Data strategy & inventory
Analysis of existing data sources, structures and quality. Clarifying what data lives where and how to make it usable.
Define the governance framework
Building governance processes, roles and responsibilities for consistent, reliable data — including GDPR and AI Act requirements.
Build the platform & pipelines
Building a data lake, warehouse or lakehouse that fits your use cases, including ETL/ELT pipelines, streaming and real-time processing.
Operations & continuous quality
Handover into production operations with automated quality checks, monitoring and ongoing platform evolution.
What we use to build your data platform
Data strategy & governance
Mapping your data landscape and building reliable governance processes.
Data lakes & warehouses
Lakehouse architectures that fit your use cases and your scale.
ETL/ELT pipelines
Robust data pipelines for batch and streaming processing.
Real-time processing
Streaming architectures for real-time operational decisions.
Data quality & compliance
Automated quality checks alongside GDPR and AI Act compliance.
Apache Kafka & Flink
Event streaming and stream processing for continuous data flows.
Apache Airflow
Orchestration of complex data pipelines and dependencies.
Snowflake & Databricks
Data warehousing and lakehouse platforms for analytics and AI.
From the field
Receivables management
Built a data platform for consolidated receivables management across multiple systems.
Logistics group
Streaming architecture for real-time visibility across shipment and process data.
Retail company
Consolidated heterogeneous data sources into a single data foundation for reporting and analytics.
Financial services provider
GDPR-compliant data architecture as the foundation for downstream AI initiatives.
Case studies from receivables management, logistics streaming and consolidated data platforms — from strategy to production operation.
What companies use this for
How we can work together
Rapid Response Team
A small Aclue team delivers autonomously — from idea to production-ready solution.
Embedded Experts
Our specialists strengthen your team directly, on-site or remote.
Hybrid Team
A joint team of your people and ours — with knowledge transfer from day one.
Development Team
A complete development team for your product — including processes and operations.
Special Expertise
Targeted support: architecture, reviews, coaching, workshops.
More about our collaboration models →
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Learn more →AI Enablement
Enabling teams to work more productively with AI. Training, coaching, hands-on support.
Learn more →Ready for a data foundation you can build on?
In the free Data Quick Scan, we assess your current data landscape and point out concrete next steps.
Discuss the free Data Quick ScanData-Team
„In 30 Minuten wissen Sie, ob Ihre Datenbasis KI-ready ist."
Book a meeting with Data-Team