Senior Service Digital Consultant-Data and Analytics

As an internal Digitalization Consultant at Siemens Energy, your role will involve implementing data-driven solutions by building and maintaining data pipelines and solutions that drive the company's operations. You will work both independently and collaboratively on various projects, ranging from quick-win tasks to more complex initiatives. Your responsibilities will include: - Designing, developing, and maintaining scalable data pipelines for data ingestion, transformation, and delivery - Creating scalable data products to support analytics and operational requirements - Developing analytics solutions, performing data analysis, and visualization using tools like Alteryx, Snowflake, Tableau, and Power BI - Ensuring data integrity, quality, performance, and security across all data solutions with clear documentation - Collaborating with cross-functional teams to understand business requirements and provide technical guidance - Staying updated with the latest trends in data engineering, analytics, and cloud development to contribute to shaping the target data architecture To qualify for this role, you should have: - A University degree in Computer Science, Information Technology, Engineering, or a related field - At least 5 years of experience in data engineering, data analytics, or related fields - Strong proficiency in SQL and knowledge of Python or similar scripting languages - Experience with version control best practices and tools like Git - Expertise in building cloud-based data pipelines using tools such as Snowflake, Azure, dbt, or AWS - Proven experience in developing data analytics solutions with Alteryx, Snowflake, Tableau, or Power BI - Knowledge of SAP data structures is a plus - Ability to work independently and as part of a team in agile setups - Strong analytical and problem-solving skills - Knowledge of data governance and best practices in data management - Excellent communication skills in English, both oral and written; knowledge of German is a plus Your strong ownership mentality, proficiency in modern data engineering and analytics tools, and ability to deliver timely and within budget will make a significant impact in this role at Siemens Energy. As an internal Digitalization Consultant at Siemens Energy, your role will involve implementing data-driven solutions by building and maintaining data pipelines and solutions that drive the company's operations. You will work both independently and collaboratively on various projects, ranging from quick-win tasks to more complex initiatives. Your responsibilities will include: - Designing, developing, and maintaining scalable data pipelines for data ingestion, transformation, and delivery - Creating scalable data products to support analytics and operational requirements - Developing analytics solutions, performing data analysis, and visualization using tools like Alteryx, Snowflake, Tableau, and Power BI - Ensuring data integrity, quality, performance, and security across all data solutions with clear documentation - Collaborating with cross-functional teams to understand business requirements and provide technical guidance - Staying updated with the latest trends in data engineering, analytics, and cloud development to contribute to shaping the target data architecture To qualify for this role, you should have: - A University degree in Computer Science, Information Technology, Engineering, or a related field - At least 5 years of experience in data engineering, data analytics, or related fields - Strong proficiency in SQL and knowledge of Python or similar scripting languages - Experience with version control best practices and tools like Git - Expertise in building cloud-based data pipelines using tools such as Snowflake, Azure, dbt, or AWS - Proven experience in developing data analytics solutions with Alteryx, Snowflake, Tableau, or Power BI - Knowledge of SAP data structures is a plus - Ability to work independently and as part of a team in agile setups - Strong analytical and problem-solving skills - Knowledge of data governance and best practices in data management - Excellent communication skills in English, both oral and written; knowledge of German is a plus Your strong ownership mentality, proficiency in modern data engineering and analytics tools, and ability to deliver timely and within budget will make a significant impact in this role at Siemens Energy.