Data Engineering

Solid data infrastructure that scales with your business

Your data is growing exponentially, but your systems aren't keeping up. Dashboards load slowly, reports don't add up, and your team spends more time solving data problems than generating insights.

Most organizations face the same challenge: How do you build a data infrastructure that is reliable, scalable and future-proof? At DDBM, we help you move from fragile, ad hoc solutions to robust data platforms that really work.

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Data Engineering

Data systems that drive you forward

Many companies begin their data journey with quick wins: a few dashboards, some Excel automation, or ad hoc scripts. But over time, the problems pile up: technical debt, slow pipelines, unreliable data, and systems that can't scale.

That's when you realize you need a solid data platform. That's where data engineering becomes essential.

Our approach:

We don't just build pipelines - we design complete data platforms that grow with your organization:

  • Architecture & Design: From ingestion to serving layers - we choose and implement the right tools for your stack and future plans.
  • Cloud-native solutions: Expertise in AWS, GCP and Azure, with a focus on scalability, reliability and cost optimization.
  • Infrastructure as Code: Everything we build is reproducible, testable and version-controlled for maximum stability.

Our data engineers move smoothly between different levels of technical complexity:

  • Code-first engineering: Python, SQL, dbt, Spark - for complex transformations and custom solutions that require maximum control and performance.
  • Low-code platforms: Alteryx, Matillion, Coalesce - for faster development and better adoption by business-focused teams.
  • Hybrid approach: We combine the best of both worlds, using low-code tools for standard transformations and custom code for more complex logic.

This flexibility means we always choose the right tool for the job - not just what is technically possible, but what works practically and sustainably for your team.

Reliability is not something you add after the fact - it's in the foundation of everything we build:

  • DataOps principles: Automated testing, monitoring and deployment ensure that problems are caught before they have an impact.
  • End-to-end monitoring: From data freshness to pipeline performance - you always know what's happening in your systems.
  • Incident response: Clear escalation paths and root cause analysis ensure problems are resolved quickly and don't recur.

Technology is only half the story. We make sure your team becomes successful with the systems we build:

  • Knowledge transfer: Hands-on training and coaching so your team can work independently with the new infrastructure.
  • Documentation that works: Not just technical specs, but business logic and troubleshooting guides that actually get used.
  • Governance frameworks: Clear processes for data quality, security and compliance that grow with your organization.
  • Cross-team collaboration: We help structure collaboration between data engineers, analysts and business stakeholders for maximum effectiveness.
Data Engineering

From project to partnership

Our goal is not to manage your data infrastructure forever. We want your team to become independent and grow:

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Advisory approach

We ask not just "What do you want to build?" but "What problem are you trying to solve?" and guide to sustainable solutions.

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Capacity amplification

Through training, mentoring and documentation, we build internal skills so you become less dependent on external help.

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Strategic Roadmap

We help plan your data evolution so that investments today align with tomorrow's goals.

Data Engineering

Our approach in practice

Whether you're a scale-up struggling with growing data volumes or an enterprise needing to modernize legacy systems - our approach remains the same:

Platform Thinking

Infrastructure that scales with you
Platform Thinking

Flexible Tooling

From low-code to code, whatever suits your organization
Flexible Tooling

Reliability first

Systems that work, even under pressure
Reliability first

People centric

Technology that strengthens teams, not hinders them
People centric
Data Engineering

Ready for the next step in Data Engineering?

Use these extra resources to deepen your knowledge, discover our solutions and increase your data-impact.

 

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Whitepaper: Structure in data architecture

Using the bronze-silver-gold model, you can structure your data architecture. Read how to do this in this white paper with data transformation tools such as Alteryx, Knime or Matillion.

Whitepaper: Structure in data architecture
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Conversational Analytics with: InsightsAI for CRM

Need an addition to your BI team? InsightsAI lets you ask questions of your own data. Simply in your own language.

Conversational Analytics with: InsightsAI for CRM
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Data Impact Model

Our Data Impact Model is the blueprint for better decision-making and higher productivity.

Data Engineering

Interested?

We would love to help you gain insight into where you are now with your organization. Contact us and we'll talk further.

Frequently asked questions

(and the answers)

What exactly does DDBM do for my organization?

DDBM helps organizations make better decisions with their data. We design and build the modern data infrastructure (the Modern Data Stack) needed to bring together data from different sources. Whether it's a clear data strategy or full technical realization: we make sure your data becomes reliable, accessible and directly usable for smart decision-making.

Why should I choose a Modern Data Stack (MDS)?

Traditional data systems are often slow, inflexible and expensive to maintain. A Modern Data Stack, with tools like Snowflake, dbt and Fivetran, is flexible, scalable and cloud-native. This allows you to respond much faster to change, reduces operational costs and lays the foundation for advanced applications such as Artificial Intelligence.

How does DDBM accelerate my data journey with AI?

We believe in the power of smart technology. DDBM deploys advanced AI tools to automate repetitive tasks in the development process, such as writing code or documenting data. This means we can deliver projects faster than traditional parties without compromising on quality.

Does DDBM help with execution or just strategy?

We do both. A strategy is only valuable if it works in practice. We support the entire process: from tool selection and architecture to the actual technical construction of the dashboards and data platforms. With us, strategy and execution go hand in hand.

If you use AI, how does it maintain quality?

With us, AI is a tool, never the end-all-be-all. Every line of code and data model generated using AI is checked by our senior experts against our quality standard. This rigorous quality control ensures that the solution is robust, secure and future-proof.

How does DDBM ensure that the solution works in the long run?

We don't build one-off gimmicks, but sustainable systems. By working with market standards and modular technology, your data environment remains flexible. Moreover, we transfer our knowledge to your team, so that you do not remain dependent on us after delivery, but remain in control. The alternative is that we take care of the management of the data platform, so that you can focus on your core business.

What does the collaboration with DDBM look like?

We work on the basis of short lines of communication and complete transparency. We start with an inventory of your goals and translate this into a concrete plan. During the implementation we work in clear steps with fixed check-ins. This way we keep the momentum going, we adjust where necessary and you always know exactly where you stand.

How soon can we expect the first results?

Thanks to our standardised approach and the use of proven scripts and AI accelerators, we can often show initial results within just a few weeks. For acute issues, we can usually shift gears within a week and start the first phase of implementation.

Can we also hire individual experts for our own team?

Yes. If you need extra capacity temporarily, you can hire our BI specialists and Data Engineers. Our people bring not only their hours, but also the pooled knowledge and standards of all of DDBM. This way, you instantly strengthen the quality of your own internal data team. 

What is the cost of a data project at DDBM?

We offer clarity upfront. For extra capacity (staff augmentation) we work with transparent rates based on experience. For defined results (projects), we offer a fixed or estimated project price, depending on the situation. This way we avoid surprises afterwards and focus on what really matters: delivering value for your organisation.

How soon can we start?

With acute data issues, speed is crucial. If we have the right expertise available, we can often shift gears and get started within a week.