Recruiter for this role:
Britney Dias Key Responsibilities-
Design, develop, and maintain low-code enabled data pipelines for collecting, transforming, and loading data into various data stores and build insightful reports .
Build and maintain data warehousing and data lake solutions that support quick and efficient reporting and insights
Develop and deploy data models that cater to various business requirements and enable efficient data analysis
Lead the design of data solutions with a focus on automation, performance, and quick report generation
Ensure data is readily available for business and analytics consumption and monitor the quality of the data
Collaborate with cross-functional teams and stakeholders to understand data requirements and drive data-driven initiatives
Prototype and adopt new approaches to drive innovation into the solutions and ensure they are aligned with industry trends and advancements
Develop and implement the data roadmap for strategic data sets and communicate progress to both technical and non-technical stakeholders
Communicate complex data solutions in a clear and understandable manner to both experts and non-experts
Interact with stakeholders and clients to understand their data requirements and provide low-code enabled solutions
Stay up-to-date with industry trends and technology advancements in data engineering and analytics
Champion the importance of modern data solutions across the business and promote the value of obtaining good quality data.
Knowledge, S kills, and experience required
Extensive experience leading AWS and cloud data platform transformations
Proven track record of delivering large-scale data and analytical solutions in a cloud environment
Hands-on experience in end-to-end data pipeline implementation using AWS services, including data preparation, extraction, transformation & loading, normalization, aggregation, warehousing, data lakes, and data governance
Expertise in developing data warehouses and in-depth understanding of modern data architecture such as Data Lake, Data Warehouse, Lakehouse, and Data Mesh
Strong knowledge of data architecture and data modelling practices, with the ability to cost-effectively manage data pipelines
Familiarity with CI/CD-driven data pipeline and infrastructure, with an Agile delivery approach using Scrum and Kanban methodologies
Ability to scope, estimate, and deliver committed work within deadlines, both independently and as part of an Agile team
Support for QA and user acceptance testing processes, with innovative problem-solving skills and the ability to provide clear recommendations
Understanding of the impact of changes to business rules on data processes
Excellent communication and influencing skills, especially in regard to data solutions and outcomes
Experience managing and leading a small team of data engineers
Self-driven and constantly seeking opportunities to improve data processes
Strong knowledge of how data drives analytical and reporting activities, including automated marketing and personalization capabilities
Person Specification
Self-motivator with a desire to learn new skills and embrace new technologies in a constantly changing technology landscape
Ability to thrive in a fast moving environment
Ability to show initiative, innovation and work independently when required
Ability to work at pace and tackle project challenges in a collegiate, collaborative way
Goal and outcome orientated
Thoroughness and attention to detail
Good communication skills (ability to present, inform and guide others)
Ability to bridge communications between technical and business focussed groups
Comfortable working with people at all levels in an organisation
About us: Our story
Collinson Group is a global leader in driving loyalty and engagement for many of the world’s largest companies. Predominantly through the provision of travel related benefits within a market leading digital…