Senior Application & Data Engineer

The Senior Application & Data Engineer is responsible for Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications. Continuously look for data optimization processes and oversee data management, governance, security, and analysis.

Job Responsibilities:

• Lead the development and optimization of our data pipelines, databases, and systems for serving data to our customers, ensuring scalability, efficiency, and reliability.
• Work in close collaboration with stakeholders and analysts to design and implement robust data models.
• Drive innovation by staying updated with the latest in data engineering practices, tools, and technologies, applying them to solve complex business and data challenges.
• Design, construct, install, test and maintain a highly scalable data platform.
• Analyze business requirements and create conceptual, logical, and physical data models.
• Design database tables, columns, and relationships, and document data flow and dependencies.
• Build high-performance algorithms, prototypes, models and proof of concepts.
• Develop data set processes for data modeling, mining, and production.
• Integrate new data management technologies and software engineering tools into existing structures.
• Research opportunities for data acquisition and new uses for existing data for reporting.
• Create custom software components and analytics applications.
• Collaborate with IT team members on project and technology related goals.

Job Requirements:

• Degree in Computer Science/Information Technology or equivalent data-related fields, such as data science, data engineering, data management, data governance, data analytics etc
• Minimum 5 years of relevant experience in areas such as data management, engineering, extract, transfer and load data.
• Strong SQL skills, on MS SQL server environment, for querying and managing data.
• Proficiency in Python and SQL.
• Strong understanding of object-oriented programming (OOP) and design patterns.
• Proficiency in programming languages such as .NET and Python.
• Experience with software development frameworks and libraries.
• Familiarity with version control systems such as Git or Azure Devops.
• Knowledge of software testing and debugging methodologies.
• Ability to write clean, maintainable, and efficient code.
• Experience with agile development methodologies.
• Skills in systems problem-solving and conflict resolution.
• Ability to work as part of a team, independently and make decisions.
• Artificial Intelligence on LLM/RAG knowledge will be an advantage.
• Ethical and able to organize and complete tasks to expected standards and on-time.
• Trustworthy and accountable to deliver quality results.
• Adaptability to changing requirements and circumstances.
• Strong written and verbal communication skills
• Ability to manage time effectively.
• Ability to travel and take on short overseas assignments on an as needed basis.