3 of 3 Data Engineering Jobs in Midlothian

full client value chain, from marketing and sales, to onboarding and client service. About the Role This role will be primarily focused in supporting the delivery of c lient data across the firm, which is pivotal to our strategy and enabling the business and client. You will help bridge the gap between business stakeholders and technical teams, ensuring that … data solutions - built on our'snowflake data warehouse - are aligned with the needs across clients, distribution, product, and investment teams. You will work closely with data engineers, technical leads product owners, and reporting teams to define requirements, validate data outputs, and continuously improve the quality and usability of our reporting solutions. This role requires a flexible … at Aberdeen. Key Responsibilities Engage with internal stakeholders to understand reporting needs related to client data. Translate business requirements into clear, actionable user stories and acceptance criteria for the data engineering team. Identify opportunities to streamline reporting processes and enhance data accessibility for end users. Maintain documentation of data definitions, business rules, and reporting logic to More ❯

the full client value chain, from marketing and sales, to onboarding and client service. About the Role This role will be primarily focused in supporting the delivery of client data across the firm, which is pivotal to our strategy and enabling the business and client. You will help bridge the gap between business stakeholders and technical teams, ensuring that … data solutions - built on our'snowflake data warehouse - are aligned with the needs across clients, distribution, product, and investment teams. This is an infrastructure role, and you will work closely with data engineers, technical leads product owners, and reporting teams to define requirements, prepare and validate data outputs, and continuously improve the quality and usability of … at Aberdeen. Key Responsibilities Engage with internal stakeholders to understand reporting needs related to client data. Translate business requirements into clear, actionable user stories and acceptance criteria for the data engineering team. Identify opportunities to streamline reporting processes and enhance data accessibility for end users. Maintain documentation of data definitions, business rules, and reporting logic to More ❯

Lead Machine Learning Engineer This role is a senior-level position in data science, centered on applying machine learning to solve complex problems, drive project execution, and mentor team members. The successful candidate will lead and actively contribute to initiatives that leverage advanced analytics to deliver tangible, real-world outcomes. Responsibilities Communicate data-driven insights and strategic recommendations … actionable manner. Design and implement predictive models using advanced analytics, including techniques in machine learning, natural language processing (NLP), computer vision, and optimization. Oversee the full lifecycle of multiple data science projects, ensuring effective resource management, resolution of technical challenges, and streamlined code review processes. Provide mentorship and guidance to junior data scientists and analysts, supporting their technical … growth and professional development. Contribute to business development activities by supporting proposal creation and demonstrating the value of data science capabilities to potential clients. Partner with data engineering teams to ensure seamless integration of analytics solutions within client environments. Collaborate with leadership to shape the roadmap for data science initiatives and ensure alignment with strategic objectives. More ❯