At BearingPoint, our Consulting team specializes in empowering Data Engineers and Analytics professionals by building robust data platforms and leveraging modern technologies. We work extensively across data ecosystems, using advanced tools and platforms such as Databricks, Snowflake, Microsoft Fabric, and Python-based analytics frameworks to deliver insightful analytics and enable data‑driven decision‑making.

Our expertise spans leading cloud providers, including Microsoft Azure, AWS, and Google Cloud Platform (GCP), ensuring scalable, secure, and future‑proof data solutions. We combine strong back‑end data engineering capabilities with front‑end and visualization expertise, particularly in Power BI and Fabric, to design intuitive, high‑impact analytical experiences for business users.

In addition to our data capabilities, we bring strong proficiency in ERP and CRM systems, including SAP and Salesforce. Our deep domain knowledge in finance, logistics, and technology enables us to streamline business processes, enhance reporting and insights, and elevate customer engagement.

We also design and develop integrated front‑end and back‑end applications, including cloud‑native and mobile solutions, providing seamless and secure access to critical enterprise systems and analytics platforms.

BearingPoint’s client‑focused approach ensures tailored, high‑impact solutions that drive operational excellence and sustainable growth. We are committed to delivering measurable outcomes through innovation, strong engineering foundations, and deep industry expertise.

Location: Bucharest, Sibiu, Cluj, Brasov, Timisoara and Iasi.

Primary Functions and Tasks: 

Within our Technology segment you will support our customers in the development of forward-looking business models, IT strategies and architectures as well as in the implementation of complex, standardized and individual business applications.

• Development of data & analytics architectures and roadmaps for various business projects

• Support of data management, data governance, data catalog projects

• Concept and design of innovative data integration scenarios and use cases in modern cloud environments

• Development of cloud native business solutions

• Advising customers on the development of their digitization strategy and its implementation

• Integration of cloud solutions / data platforms into the service structures of companies

We are looking for:  

• Successfully completed a Bachelor’s or Master’s degree in Computer Science, Natural Sciences, or a related field with a focus on IT, cloud computing, or data platforms

• Extensive experience in designing and deploying cloud-based data architectures and pipelines

• Proven experience as a cloud data engineer

• Strong expertise in programming languages such as SQL, Python, and others.

• In-depth knowledge of cloud infrastructure and services.

• Expertise in real-time data processing and analytics platforms like Apache Flink, Apache Beam, and Google Dataflow.

• Knowledge of Big Data Tools & Frameworks, Real-time stream processing, Data Warehouse, Data Vault, Data Catalogs

• Experience working with Databricks, Snowflake and MS Fabric

• Solid knowledge of cloud automation, security and connectivity

• Strong knowledge of data governance and security policies

• Excellent problem-solving skills and attention to detail