BI Developer

training/serving, and IoT use cases while ensuring performance, reliability, and cost optimization. - Optimize data extraction and integration from diverse Robotics data sources-including IoT platforms-leveraging modern ETL/ELT tools and best practices to reduce costs and improve efficiency. - Enable "data as product" delivery by implementing structured, organized data solutions with proper governance, access controls, and documentation that empower business stakeholders. - Provide technical consultation to business and IS teams on technology selection, architecture decisions, and best practices for both backend data solutions (databases, data pipelines, machine learning infrastructure) and frontend visualization tools. - Collaborate with business leaders, data engineers, and IT operations teams in an environment where technical excellence meets business impact. Qualifications -, Bachelor's degree in Computer Science, Data Engineering, Data Science, Software Engineering, or related

technical field, 3+ years of hands-on data analytics and engineering experience, including data modelling, ETL/ELT development, data warehousing, and SQL optimization. - Advanced SQL proficiency (ISO standards) and demonstrated expertise with modern data extraction tools (ADF, Qlik Replicate, SSIS, or equivalent). - Snowflake experience or strong foundation in cloud data warehousing platforms; understanding of big data and machine learning concepts. - Solid knowledge of BI tools (Power BI / MS Fabric preferred) and experience with data visualization and analytics frontend development. - Proficiency in C# or similar backend programming languages for data integration, ETL orchestration, and service development. - Experience with or knowledge of SAP/S4HANA data extraction and integration, or demonstrated ability to quickly learn enterprise ERP systems. - Fluent in English with strong communication skills, excellent documentation practices, and a customer-oriented mindset. Nice to Haves - Experience with machine learning pipelines, model deployment, or ML-driven analytics. - Deep knowledge of SAP/S4HANA modules (Finance, Supply Chain, Manufacturing) or SAP data extraction tools. - Experience with containerization and orchestration (Docker, Kubernetes). - DevOps or data pipeline orchestration tools (Airflow, Databricks, Azure Synapse). - Background in manufacturing, logistics, or robotics industries. Benefits We empower you to take the lead, share bold ideas, and shape real outcomes. You'll grow through hands-on experience, mentorship, and learning that fits your goals. Your work doesn't just matter, it moves things forward. We value people from different backgrounds. J-18808-Ljbffr

Overview At ABB, we help industries outrun - leaner and cleaner. As a global market leader, we'll give you what you need to make it happen. This role sits within ABB's Robotics business, a leading global robotics company, and will serve as the architect of scalable, high-performance data solutions that fuel analytics and decision-making across ABB Robotics. You will design and build robust data pipelines, optimize cloud data warehouses on Snowflake, and create reusable data models that transform raw business data into trusted, actionable insights. The role offers the opportunity to shape how data flows through a global robotics business and enable informed decision-making at scale. Responsibilities - Design and build scalable data solutions on Snowflake that translate business requirements into optimized data models, ETL/ELT pipelines, and data warehouse architectures. - Develop reusable data models and infrastructure that support analytics, reporting, machine learning model