Team Data Engineering

Make working with data easier

Turning data swamps into data lakes and warehouses

Our Data Engineering team builds essential infrastructure that allows your data to move from point A to point B, taking into account key aspects such as cost, performance, usability and maintainability. The modern data engineer is difficult to describe, but our vision is one where the data engineer combines strong skills in working with a hyperscaler, a data platform and software engineering. Data engineering is more than building and running a few Python scripts, especially when done at scale.

Cloud Engineering

Building your data foundation in the cloud

All the way back in the 1940s, the first data centers were established. At that time, computer systems were difficult to maintain and operate. Over time, computing has become a commodity, especially due to the rise of cloud providers, the hyperscalers.

A cloud environment and a data center still share many similarities. They both provide the underlying infrastructure for IT operations, including storage, computing, networking and security. This is also what we provide for you with our cloud engineering expertise.

We design and build applications that can integrate with existing systems, all in the cloud. Since the cloud is such a broad area, we specialize in services that are directly related to data within these cloud environments.


The following scenarios could be applicable to your situation:

  • “We’re running a large database on AWS, however it is slow and costly.”
  • “We have a system running on a local data center, but we want to move this to the cloud.”
  • “We want to share our data with other companies by using the Azure cloud environment.”

Data Platform Engineering

Modernising your data platform for scale and performance

Data platforms have become increasingly popular in recent years. We have seen a quick rise in the adoption of Databricks and Snowflake. These platforms are the next evolution of traditional on-premise or cloud data warehouses such as SQL Server and AWS Redshift. They offer far more functionality while keeping the way of working simple.

Everyone on the team at adesso has hands-on experience and certifications with either Snowflake, Databricks or both. We can help you migrate to one of these data platforms, extend your existing environment, introduce new features or use cases, and even support you in assessing which solution fits your needs best.


The following scenarios could be applicable to your situation:

  • “We’re running a SQL Server on-premise, but we’re hitting compute or storage limits.”
  • “I’d like to run my transformations on Snowflake instead of having them run in a separated environment.”
  • “We’d like to use production data to create a testing environment, but our current setup makes this very difficult to achieve.”

Automations

Reducing repetitive manual work through smart automation

In the world of data, Excel still reigns king. It is easy to understand why it remains so popular. Everyone has access to it, the learning curve is manageable, and it is easy to share and transport data using these files.

However, at some point you might need to update your Excel files daily, add new customer data, run exports or ensure consistent formatting. That is where the tool no longer fits the bill. These kinds of processes can often be automated through scripting or building data pipelines. Their main purpose is to remove manual, repetitive tasks. Ask yourself: is there something you do hourly, daily or weekly on your computer? If the answer is yes, it is very likely that this can be automated.

We have extensive experience with this, especially for challenges that are data-related. We use languages such as Python, SQL and Bash to write scripts and procedures, and a variety of tools to integrate and schedule them.


The following scenarios could be applicable to your situation:

  • “I am updating this Excel sheet with product data every day, which easily takes me an hour.”
  • “I get data sent to my mailbox, but I find it difficult to get this data into the database.”
  • “There are some files on a server that we want to ingest continuously into our system.”
  • “Every night I want to calculate my KPI’s and have them ready when I start the day.”

Data Migrations

Keeping your data infrastructure up to date

Data systems are always evolving. They are like roads and bridges that need continuous maintenance. A solution that worked well 30 years ago may now be struggling with today’s requirements.

That system might be deprecated, reaching end of life, or not supporting your new use cases anymore. Whatever the reason, we have extensive experience with data migrations, whether from on-premise to cloud or from one tool to another.

We can help you assess which solution best fits your needs and build that solution for you, or together with you. Whether you want a lift and shift, a lift and reshape, or even a full re-architecture, we have you covered.


The following scenarios could be applicable to your situation:

  • “We are still running on-premise, and it takes ages to increase our compute or storage capacity.”
  • “Our tool is reaching end-of-life next year, and we need to switch to something modern.”
  • "We are spending a lot on license fees and want to reduce these to increase our margin.”
  • “New regulations require changes to our current processes, but our existing tooling is not compliant.”

Why adesso

We bridge the gap between business ambition and technical reality. Our Data Engineering team works closely with adesso’s Data Science and Data Consultancy experts to ensure your strategy connects seamlessly to execution — from defining governance and quality frameworks to building AI responsibly.

Together, we turn data into a trusted, compliant and valuable asset that helps you grow sustainably.

Got questions or looking to unlock more value from your data with AI?

No matter where you are on your journey to becoming a data-driven organisation, we help you identify the key steps and priorities for success.

Let’s talk!