Available for new projectsRastatt, Germany

Data Services

Data Engineering Consulting for Data You Can Trust

We build data pipelines, data lakes and data warehouses, move legacy systems to the cloud and create dashboards for your business teams. You work directly with the founder, an experienced data engineer, with no project manager in between.

Where clients start

Common data problems companies bring to us

  • Reports are built by hand

    Every month someone copies data from several systems into Excel to put a report together. It takes hours, and mistakes often surface only in the meeting.

  • The numbers don't match

    Sales, finance and management quote different values for the same metric. Without a shared data foundation, every discussion turns into a debate about which spreadsheet is right.

  • Nightly loads fail

    Jobs run overnight and fail without anyone noticing. In the morning data is missing, and nobody knows exactly where things broke.

  • Few people can still maintain the old system

    A database or data warehouse that grew over years runs important processes, but only a handful of people understand it. Every change is a risk, and the migration keeps getting postponed.

Services

Data Engineering, Analytics, Migration and Training

We cover the path from data source to finished report: ingestion, pipelines, cloud infrastructure, analysis and dashboards. We work with CTOs, data leads and business teams. The goal is a data platform your team can run on its own after handover. Training is part of the offer for exactly that reason.

01

Data Engineering

We design and build ETL and ELT pipelines that move data reliably from source to destination. We provision the cloud infrastructure behind them through automation, so it is ready quickly and can grow with your data. Depending on your needs, this covers data lakes, data warehouses and real-time processing. Losing data is not an option.

02

Data Analytics and BI

We build dashboards and reports with established BI tools, so decision-makers see the numbers they actually need. From fixed standard reports to interactive analysis, they show metrics, trends and deviations. Every metric is derived from your business goals.

03

Data Migration

We migrate data from legacy systems to modern cloud platforms. The work covers data backup, content transfer, database migration and support after go-live. We plan the switch to keep downtime short and to make sure the new systems work with your existing applications.

04

Training

We train your staff in the tools and methods used in your data projects. Content and pace follow the group's current skill level. The aim is that your team can maintain and extend pipelines and reports on its own.

Process

How a data engineering project runs

  1. 01

    First call

    In a no-obligation first call you describe where you stand and what you want to achieve. We tell you openly whether and how we can help.

  2. 02

    Assessment

    We review your data sources, systems and existing reports. The result is a proposal covering architecture, scope and the order of steps.

  3. 03

    Delivery in stages

    We build the solution in manageable stages, so you can use first results early. Our projects run 1.5 years on average, and starting with a smaller sub-project is also possible.

  4. 04

    Handover and training

    At the end we hand over code, documentation and access to your team. We train the people who will run the system, using your own project.

Experience

Data Engineering with Industry Experience

With over 11 years of experience in data projects, we know the typical demands of different industries. Our past work includes projects in Energy & Utilities, Financial Services, Telecom, Retail & E-Commerce, and Healthcare Technology. Each of these industries has its own requirements for data quality, data protection and compliance. We build systems that support day-to-day operations and meet regulatory requirements.

Projects completed
7+
Average project length
1.5 years
Industries
5+
Years of experience
11+

FAQ

Questions about data engineering consulting

What does a data engineer do?

A data engineer makes sure data gets reliably from source systems to the place where it is analysed. That includes data pipelines, data models, data lakes and data warehouses, and running them in the cloud.

Who will I work with at ZippyTec?

You work directly with ZippyTec's founder, a data engineer. There are no project managers or intermediaries your requirements have to pass through.

Which industries do you have experience in?

Our past projects include Energy & Utilities, Financial Services, Telecom, Retail & E-Commerce, and Healthcare Technology. We take industry-specific compliance requirements into account from the start.

How long does a data engineering project take?

Our projects run 1.5 years on average. The actual length depends on scope, and starting with a smaller sub-project is also possible.

Will we become dependent on ZippyTec?

No. At the end of the project we hand over code, documentation and access, and train your team so it can run and extend the solution on its own.

Can you migrate our legacy system to the cloud?

Yes. We migrate data from legacy systems to modern cloud platforms, including data backup, database migration and support after go-live. We plan the switch to keep downtime short.

No-obligation first call

Let's talk about your project

A data platform, a migration or a new website: send us a few lines about what you have in mind. It does not need to be fully worked out. In the first call we figure out together what you need, and you talk directly to the founder.