About Everseen
Everseen is a leader in vision AI solutions for the world's leading retailers.
Role
The Senior Data Engineer serves as a technical authority and subject matter expert responsible for designing, building, and optimizing advanced cloud data lakehouse architectures and enterprise data models. This role combines deep hands-on technical expertise with cross-functional alignment, strategic roadmap prioritization.
Responsibilities
•Be a subject matter expert
•Lead data modeling activities, including conceptual, logical, and physical data modeling, to ensure data structures align with business requirements and analytical use-cases
•Collaborate with cross-functional teams to understand data needs and translate them into effective data models that support data insights and analytics
•Manage extremely complex projects with unique requirements
•Conceptualise, design and implement advanced, cloud-based data lake-house solutions that cater to a wide range of analytical use-cases
•Identify opportunities for performance optimization, cost reduction, and resource utilization improvements within the cloud environment, and implement process changes according to these opportunities
•Coach others on the fundamental concepts, practices, and procedures of data engineering
•Act as a mentor and subject matter expert, sharing skills, knowledge, and expertise with earlier-in-career members of the data engineering team
•Provide feedback to mentees on their progress, manage and monitor their work and development together with the line manager
•Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions
•Collaborate with stakeholders to drive effective roadmap prioritization aligned with company-wide goals and objectives
Requirements
•Deep knowledge of fundamental concepts of data modeling, including relational databases, dimensional modeling, and data lake-house architectures
•Understanding of how data is structured, organized, and accessed within data lakes and data warehouses
•Expertise in SQL for data manipulation, querying, and analysis
•Proven programming skills in Python for building data pipelines, performing data transformations, and implementing automation tasks
•Structured and analytical approach to problem-solving, with the ability to make sense of complex information and data sets
•Strong attention to detail and a methodical approach to data analysis and data engineering tasks
•Demonstrated interest in learning and a strong desire to expand knowledge in the field of data engineering
•Eagerness to explore new technologies, methodologies, and best practices to enhance data engineering skills and capabilities
•Shares skills, knowledge and expertise across the team
•Proactive self-starter with the capacity to engage in multiple initiatives concurrently
•Adaptable to changing project requirements and able to anticipate and address potential issues promptly
•Enable the One Team + Team Builder approach
•Keen interest in Everseen's technology solutions, comfortable discussing them at a high level, and staying updated with the latest developments
•Constantly suggests and drives ways to improve processes
•Demonstrates initiative, drive, and self-motivation in taking full ownership of projects, ensuring accountability for project outcomes, and fostering a no-blame culture conducive to continuous improvement
Conditions
No conditions stated in the posting.
