Your role and responsibilities

We are looking for a Software Engineer to join our Data Warehouse and Analytics team. The role focuses on the development, administration and continuous improvement of modern data warehouse solutions. The successful candidate will work with cloud‑based data platforms and contribute to designing, building and operating scalable, high‑quality and cost‑efficient data solutions.

This position is well suited for an engineer with strong foundations in software development and data engineering, combined with an interest in cloud platforms, analytics and AI/ML solutions.

The work model for the role is: #Li_hybrid

This role is contributing to the ABB Automation D&A Globally. Main stakeholders are ABB Automation IS Managers, Data Managers, Data Product Owners.

You will be mainly accountable for:

• Design, develop, maintain and administer data warehouse and analytics solutions using Python, SQL and JSON

• Design and implement connectors, data flows and integrations using Azure Data Factory and Snowflake

• Review functional and technical use‑case specifications and translate them into effective technical solutions

• Design and maintain data models and analytical structures in Snowflake

• Analyze, review and optimize SQL queries and Python code to ensure performance, scalability and cost efficiency

• Participate in defining and implementing AI/ML‑related technical solutions in cooperation with architects and stakeholders

• Prepare and maintain technical documentation and user manuals, describing operating
  procedures and supported solutions

• Provide 3rd and 4th level support as an extension of incident management when Service Desk capabilities are insufficient

• Resolve user questions and issues related to data warehouse and analytics solutions

• Collaborate with users and project teams in projects, problem management and solution
  deployment

• Present developed solutions clearly and effectively to technical and non‑technical audiences

Qualifications for the role:

• Degree in Computer Science, Software Engineering, Data Engineering or a related field

• Strong knowledge of SQL and experience with Python

• Experience working with JSON and structured or semi‑structured data

• Knowledge of data warehouse concepts and data modeling

• Experience or working knowledge of Microsoft Azure, especially Azure Data Factory

• Familiarity with Snowflake or other cloud data warehouse platforms

• Ability to design technical solutions based on functional and technical requirements

• Strong analytical and problem‑solving skills

• Good communication and presentation skills

Nice to have:

• Experience with AI/ML concepts and technology or analytics‑driven solutions

• Knowledge of cloud cost optimization and performance tuning

• Experience with CI/CD pipelines, version control systems (e.g. Git), or DevOps practices

• Prior experience in enterprise data platforms or analytics projects

Personal development opportunities:

• Possibility to work with modern cloud data technologies (Snowflake, Azure)

• Participation in enterprise‑scale data and analytics projects

• Collaboration with experienced engineers, architects and business users

• Professional development in data engineering, analytics and AI/ML‑enabled solutions

• A stable and collaborative work environment focused on quality and continuous improvement