Senior Engineer DATA EngineeringDigitalization II

Job Title: Senior Engineer Data Engineering/Digitalization II

Job Summary:
The Senior Engineer Data Engineering/Digitalization II is responsible for driving and implementing data engineering and digitalization initiatives within an organization. This role involves leveraging data technologies developing data pipelines and creating digital solutions to enable datadriven decisionmaking and optimize business processes. The Senior Engineer will collaborate with crossfunctional teams provide technical expertise and lead the development of datadriven solutions.

Key Responsibilities:

• Lead and drive data engineering and digitalization initiatives working closely with stakeholders to understand business requirements and develop innovative solutions.

• Design develop and implement data pipelines data integration processes and data transformation workflows to ensure efficient and accurate data capture storage and analysis.

• Utilize data engineering tools and technologies such as ETL frameworks data warehouses and data lakes to enable datadriven decisionmaking and support analytics and reporting requirements.

• Collaborate with data scientists analysts and business stakeholders to identify data needs define data models and develop data structures that enable effective data analysis and visualization.

• Develop and implement data quality and data governance processes to ensure data accuracy consistency and compliance with privacy and security regulations.

• Identify opportunities for process automation and digitalization leveraging emerging technologies such as machine learning artificial intelligence and robotic process automation.

• Lead the development of digital solutions such as web applications dashboards and mobile applications to enable realtime data monitoring and visualization.

• Collaborate with IT and infrastructure teams to ensure the availability scalability and performance of data engineering and digitalization systems and platforms.

• Stay updated with industry trends emerging technologies and best practices in data engineering digitalization and data analytics and apply them to enhance datadriven capabilities within the organization.

• Provide technical leadership and mentorship to junior engineers guiding them in the development and implementation of data engineering and digitalization projects.

• Collaborate with crossfunctional teams including data scientists software developers and project managers to ensure successful project delivery and alignment with business objectives.

• Conduct performance evaluations provide feedback and identify training and development needs for team members.

• Collaborate with external vendors consultants and partners to leverage their expertise and resources for data engineering and digitalization projects.

• Ensure compliance with relevant data privacy security and regulatory requirements in data engineering and digitalization activities.

• Foster a culture of innovation continuous improvement and knowledge sharing within the data engineering and digitalization team.

Qualifications:

• Bachelors degree in Computer Science Data Science Engineering or a related field. Masters degree is a plus.
• Min 5 years of experience in data engineering digitalization or a related field with a focus on developing and implementing datadriven solutions.
• Strong knowledge of data engineering principles practices and technologies including ETL frameworks data integration and data modeling.