Data Engineering at adesso Bulgaria in a SmartShore context

At adesso Bulgaria, data engineering is delivered as part of the adesso SmartShore Global Delivery Model. From our near-shore location, we support international projects where scalable, maintainable and business-critical data platforms are needed rather than purely experimental prototypes. Our role is to combine deep technical knowhow with a delivery setup that integrates seamlessly into distributed teams and processes, so that customers gain reliable, long-term value from their data – at competitive conditions and with access to a broad international talent pool.

The projects and system landscapes we support focus on modernization and scalable data platforms

Within SmartShore projects, our data engineering team typically works in complex enterprise environments where data landscapes have grown over many years. A large part of our work is system modernization: we help clients move from legacy data platforms to modern tech stacks that enable scalability, better maintainability and faster change. In many cases this includes integrating cloud data services from AWS, Azure or Google Cloud into existing setups. We also take over maintenance and enhancement of established data warehouses and ETL processes, ensuring they remain robust, efficient and aligned with evolving business needs.

In terms of industries, we support customers from sectors such as retail, insurance, manufacturing and travel. These are often organizations with high data volumes and demanding requirements for availability and data quality, for example large online retailers, international insurers, industrial manufacturers or global travel platforms. The underlying business challenges differ – from better forecasting and reporting to real-time insights – but the core need is always the same: a reliable, futureproof data foundation that keeps pace with business growth.

Our data engineers are fully integrated into international customer and adesso teams

In international projects, adesso Bulgaria’s data engineers are embedded directly into the customer’s agile setup. They participate in all relevant Scrum ceremonies, contribute to technical and conceptual decisions and are perceived as equal team members rather than external supporters. In some constellations, colleagues from Bulgaria even take over team lead responsibilities and coordinate mixed teams that include customer employees as well as adesso colleagues from other locations. This close integration ensures that knowledge is shared continuously and that decisions are made with a full understanding of the overall system landscape.

Within the adesso Group, collaboration follows the same delivery model used in German or other European locations. The main difference is physical distance – people see each other on site less frequently – but this is compensated by regular travel between Bulgaria and other countries, as well as planned project meet ups, often on a quarterly basis. Typical setups include one to five data engineers from Bulgaria embedded in a larger agile team with roles such as DevOps engineers, architects, Scrum Masters and product owners. This structure allows us to contribute focused data expertise while benefiting from a broad mix of skills in the overall team.

Distributed teams and the SmartShore approach give clients cost efficiency and access to a wider talent pool

For customers, working with distributed teams across adesso locations combines cost advantages with access to a broader range of skills. Nearshore capacities enable more competitive rates compared to purely onshore setups, while still offering strong time zone alignment and close cooperation with teams in the DACH region and other markets. At the same time, clients benefit from an extended talent pool: they are not limited to specialists available in one city or country but can draw on data engineering expertise from multiple locations. Contracting can be tailored to the situation – for example time and material for flexible staffing or managed capacity for stable, long running engagements.

Within SmartShore engagements, the adesso Global Delivery Model (aGDM) provides the framework for collaboration across locations. It is designed to integrate nearshore and offshore teams into a single, coherent delivery approach (aGDM – adesso Global Delivery Model) rather than treating them as separate “outsourcing islands”. In many cases, a bridgehead model is used: customer proximity and account management remain with a market country such as Germany, while SmartShore hubs like Bulgaria provide scalable delivery capacity and specialized skills. This enables customers to stay competitive – both in terms of cost and speed – without compromising on quality, integration or cultural fit.

We combine careful staffing, feedback and continuous learning to ensure quality and long term stability

Quality and long-term maintainability in our projects are strongly linked to how we build and support our teams. We aim not only to satisfy customers but also to keep our data engineers engaged and motivated, because stable teams are a key factor in sustainable delivery. Regular one-to-one meetings give space to discuss open issues, expectations and development goals, with managers actively involved in supporting colleagues. Customer feedback is collected and implemented – so we can adjust our collaboration and delivery approach continuously.

Staffing decisions are based on a careful selection process. Candidates first go through a cultural fit assessment to ensure alignment with adesso’s values and way of working. This is followed by a technical interview, often together with experienced counterparts from adesso SE, and, where needed, an additional customer interview to validate expectations on both sides. This approach, combined with a fair ramp-up and close cooperation with recruiting, has allowed the data engineering team in Bulgaria to grow steadily with very low fluctuation. Continuous development is supported through self-learning platforms such as internal learning portals and external providers, as well as attendance at conferences, specialized meetups and data platform events – both locally in Sofia and internationally.

In complex data landscapes, we address technical and organizational challenges proactively

Working with large and complex data landscapes naturally brings a set of recurring challenges. The onboarding of new data sources, frequent schema changes, ensuring data quality across the pipeline and keeping performance and costs under control are just a few of the topics we regularly deal with. Our teams focus on designing data architectures and processes that can absorb change without causing major disruptions, for example by using robust versioning strategies, clear ownership models and monitoring practices that make issues visible early.

Beyond technology, we place great importance on a cooperative team atmosphere and transparent communication to prevent bottlenecks or escalations. Potential conflicts are addressed early rather than allowed to grow, and we remain flexible in how teams are staffed: if necessary, we can reassign a colleague to a better suited project or replace a team member in agreement with the customer and depending on the contractual model. This flexibility, combined with the broader SmartShore network of locations, helps us keep delivery stable even when requirements or team constellations change over time.

All of this enables us to transfer experience to the unique challenges of tomorrow’s customers

The combination of diverse project experience, a standardized yet flexible delivery model and a strong focus on people development makes our data engineering team in Bulgaria well equipped for future challenges. By working across industries – from retail and insurance to manufacturing and travel – we have learned to quickly understand new business domains and translate them into scalable data architectures. At the same time, the SmartShore setup exposes us to different cultures, systems and collaboration models, which is invaluable when new clients bring unique constraints or global teams.

Because our practices for quality, staffing and learning are not tied to a single technology or customer, they can be applied to new contexts with relatively little friction. This means we are not only solving today’s data engineering problems, but also continuously building the skills, patterns and ways of working needed to support the next generation of international projects – within the SmartShore Global Delivery Model.