Title image reading “LEADing the Energy Ecosystem: GELSENWASSER & LEAD on Building a Scalable Allegro ETRM Integration,” with GELSENWASSER AG and LEAD logos displayed.

LEADing the Energy Ecosystem: GELSENWASSER & LEAD on Building a Scalable Allegro ETRM Integration

What this article covers

As trading portfolios expand and operational complexity increases, the question is no longer only how to implement a platform like Allegro, but how to build a scalable Allegro ETRM integration that remains stable over time.

What experienced trading and IT leaders pay close attention to is not only how an ETRM system is implemented, but how it behaves over time – how it integrates with surrounding systems, how easily it adapts to new requirements, and how reliably it supports the business as conditions change. These considerations often shape architectural decisions just as much as functional requirements. 

The collaboration between GELSENWASSER AG and LEAD reflects this longterm view. During the implementation and evolution of Allegro within GELSENWASSER’s energy trading landscape, the focus went beyond introducing a new platform. From the outset, the goal was to establish a stable and scalable foundation that could support both current operations and future expansion. 

In this video video, Jenny Arndt, Business Analyst, Digitalisation of Energy Trading at GELSENWASSER AG, and Lyudmil Zahariev, Leading BA for GELSENWASSER AG project & Head of Business Consulting at LEAD, share their perspectives on the project. Their conversation reflects the operational reality behind the delivery – how teams approached integration, enabled flexibility in daily work, and built a partnership that continues beyond the initial implementation. 

Video: GELSENWASSER AG and LEAD 

Watch the full conversation below:

Building a Scalable Allegro ETRM Integration Framework

When GELSENWASSER selected Allegro as its Energy Trading and Risk Management platform, the choice reflected a clear direction. The system offered the openness and flexibility required to support a growing trading organization operating in a complex market environment. 

At the same time, the team understood that bringing Allegro into productive use required connecting it to a wider ecosystem of market data sources, upstream and downstream systems, operational processes, and reporting structures. At the start of the project, no interfaces were in place. 

Rather than treating integration as a series of isolated technical tasks, GELSENWASSER and LEAD approached it as a foundational part of the ETRM landscape. The goal was to create a structure that would support current trading activities while remaining adaptable as requirements evolved, without locking the organization into rigid or fragmented solutions. 

This perspective shaped how decisions were made early in the project, particularly around how data would move into and out of Allegro, how transformations would be managed, and how much control business teams would have over ongoing changes. 

From Interfaces to an Integration Framework Around Allegro

With the direction set, attention turned to how integration around Allegro would be structured in practice, with an emphasis on creating an approach that could scale and remain manageable over time. 

To support this, LEAD introduced a reusable integration framework built around the LEAD Universal Loader. Instead of developing interfaces individually, data flows into and out of Allegro were standardized across imports, exports, transformations, and validations within a consistent structure. 

Over the course of the implementation, more than 40 interfaces were delivered, connecting Allegro with internal systems, external data providers, and downstream operational and reporting environments. 

This approach supported a scalable Allegro ETRM integration, allowing new interfaces to be added without disrupting existing data flows.

This approach made it possible to manage diverse data sources, differing business logics, and varying formats while maintaining transparency across the ETRM landscape. As requirements changed, new interfaces could be introduced without disrupting existing flows or introducing unnecessary technical debt. 

Integration in Day‑to‑Day Operations

The integration framework was designed to support ongoing operational change. Business and operational teams were able to adjust integrations within a governed structure, while IT retained architectural oversight. 

This enabled GELSENWASSER to respond efficiently to new data and operational requirements, while maintaining stability across the ETRM environment. The same integration foundation later supported the extension of Allegro from gas into power trading, without requiring reimplementation. 

From Project Delivery to Long‑Term ETRM Partnership

As Allegro became embedded into daytoday trading operations, the nature of the collaboration evolved from implementation delivery to ensuring longterm system stability. 

This reflects a common reality across energy trading organizations. Once an ETRM platform is live, focus shifts toward operational reliability (monitoring data flows, adapting integrations, and assessing the impact of changes across the landscape.) 

Today, LEAD supports GELSENWASSER through a managed services model that combines technical and business ETRM support. This includes maintaining and monitoring the integration landscape, addressing incidents across production and test environments, and supporting continuous improvements aligned with evolving trading requirements. 

Beyond integration delivery, LEAD contributed across architecture design, project coordination, technical development, and ongoing optimization, covering both business and IT aspects of the ETRM lifecycle. 

What This Means for Energy Trading Leaders

In many ETRM projects, the more complex challenges tend to emerge after the system has been in use for some time and becomes part of a broader operational landscape. As trading activities expand and new requirements are introduced, integration becomes the point where multiple changes need to be coordinated, often under time pressure and with limited room for disruption. 

At that stage, the impact of early architectural decisions becomes more visible. When integration has been approached incrementally, as individual interfaces built to address specific needs, complexity can accumulate in ways that affect how easily new data sources are introduced, how reliably information can be used, and how much effort is required to adapt existing processes. 

The experience at GELSENWASSER AG reflects a more structured approach. By establishing a consistent integration framework early on and defining how data flows, transformations, and ownership are handled, the organization created a foundation that could evolve alongside its trading activities without continuous restructuring. 

This highlights a broader consideration beyond any specific system choice. An ETRM platform such as Allegro can provide the flexibility required in modern trading environments, but the way it is integrated into the surrounding landscape ultimately determines how effectively that flexibility can be used in practice. 

As integration landscapes grow, consistency in how data flows are designed and maintained becomes essential. It supports transparency, reduces operational risk, and allows teams to introduce change in a controlled way as requirements evolve. 

For decision-makers, the focus shifts toward how the overall system landscape will behave over time. The ability to absorb change without disruption is rarely the result of a single decision and is more often shaped by how integration is approached from the beginning.