Senior Data Engineer

At BearingPoint, our Consulting team specializes in empowering Data Engineers by focusing on robust data platforms and modern technologies. We work extensively with data ecosystems, leveraging advanced tools and platforms like Fabric (+PowerBI), Databricks, Snowflake, and others to deliver insightful analytics and enable data-driven decision-making. Our expertise extends across leading cloud providers such as Microsoft Azure, AWS, and Google Cloud Platform (GCP), ensuring scalable, secure, and future-proof data solutions.

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 allows us to streamline business processes and elevate customer engagement. We also develop integrated mobile front-end and back-end applications, providing seamless mobile access to critical enterprise systems.

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

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
• Excellent communication and interpersonal skills

Offer

Attractive compensation package:

• Fixed salary compensation along with Yearly Evaluation and performance-related bonus scheme.
• Meal Tickets, Easter, and Christmas Gift Vouchers.
• Seniority Bonus and Referral Bonus.

Health and Well-being:

• WorldClass Gym Discounts and 7Card Partnership.
• Private Medical Subscription for employees and family (children, spouse/ life partner).
• Life and Accident Insurance.