Engineer, Data Intelligence

Job Description

About the Role: Grade Level (for internal use): 09 The Role: Data Intelligence Engineer The Team The team is responsible for building, maintaining, and evolving the data intelligence architecture, data pipelines, and visualizations. It collaborates with business partners and management, working within multi-functional agile teams to ensure data integrity, lineage, and security. The team values self-service, automation, and leveraging data to drive insights and improvements. The Impact This role is pivotal in transforming raw data into actionable insights that improve productivity, reduce operational risks, and identify business opportunities. By designing and implementing robust data solutions and visualizations, the Data Intelligence Engineer directly supports data-driven decision-making across various levels of the organization. The position contributes to extracting tangible value from data assets, ultimately enhancing overall service performance and business outcomes. Whats in it for you: Opportunity to design, build, and maintain a scalable, flexible, and robust data intelligence architecture, staying current with evolving technology trends. Engage in creative data science and analysis to provide actionable insights that directly influence business productivity and risk reduction strategies. Work in a dynamic environment focused on self-service and automation, with opportunities to utilize and expand knowledge in cloud environments (AWS, Azure, GCP). Collaborate within multi-functional agile teams, contributing to data-driven development and enhancing your skills in a supportive setting. Responsibilities: Build and maintain the data intelligence architecture, ensuring it is scalable, flexible, robust, and cost-conscious. Design, build, and maintain efficient Data Pipelines, focusing on loose coupling, data integrity, and lineage. Develop Data Visualizations with a focus on data security, self-service capabilities, and intelligible temporal metrics to highlight risks and opportunities. Conduct creative data science and analysis to provide actionable insights aimed at improving productivity and reducing risk. Work with business partners to identify how value can be extracted from data, emphasizing self-service and automation. Define, measure, and maintain key performance metrics, statistics for management, customer stats, business trend analysis, and overall service statistics. What Were Looking For: Key Qualifications: Bachelors degree required, with an overall experience of 4-8 years, including 3-4 years in Data Intelligence and 2-3 years in Development & Support. Strong experience in Python or other scripting languages (e.g., Shell, PowerShell) and strong SQL skills with experience in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, DynamoDB, Redshift). Minimum 3+ years experience in development/automation areas, including automating data ingestion, transformation, and aggregation, and working knowledge of cloud technologies like AWS, Azure, or GCP (including Blob/flat file processing). Experience with Power BI or Tableau, including designing dashboards with trending visuals. Good to have knowledge of DAX, Power BI service, dataset refreshes, and performance optimization tools. Soft Skills: Strong communication skills to effectively interact with both technical and non-technical teammates and stakeholders. Proven ability to work independently and collaborate effectively in multi-functional agile teams. Strong problem-solving and analytical skills with an understanding of agile software development processes and data-driven development. A thorough understanding of the software development life cycle and agile techniques is beneficial.