Data Onboarding & Cataloguing
Financial Services/Investment banking
DataOnboarding&Cataloguing
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Onboarding & Cataloguing at Data Onboarding & Cataloguing. Skills: data onboarding, data cataloguing, KDB engineering, market data onboarding, data governance, platform standardisation. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.”
What You'll Achieve.
reduce time‑to‑market while ensuring controls, discoverability, and entitlement‑driven access to KDB datasets across asset classes.
Industry & Context.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively.
What They're Looking For.
Must Have
experienced front‑office data engineer specialising in the systematic onboarding and cataloguing of trading data at scale, understanding of the practical challenges around metadata, data quality, lineage, ownership, and entitlement alignment in complex trading ecosystems, delivered robust, tool‑agnostic solutions that turn fragmented data landscapes into well‑governed, discoverable, and reusable data products across multiple asset classes
Nice to Have
Previous experience working with KDB datasets, Financial Services/Investment banking background, Experience collaborating with a wide range of stakeholders, including business, technology, and senior leaders
What You'll Do.
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable
complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.
How You'll Work.
Team & Collaboration
Collaborate closely with other functions/ business divisions.; Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.; If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard.; OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.; They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.; Consult on complex providing advice to People Leaders to support the resolution of escalated issues.; Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.; Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.; Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively.; Experience collaborating with a wide range of stakeholders, including business, technology, and senior leaders
Communication Scope
Communicate complex information.; Influence or convince stakeholders to achieve outcomes.; communication skills
Full Job Description
# **Job Description** **Purpose of the role** To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. **Accountabilities** * Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. * Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. * Development of processing and analysis algorithms fit for the intended data complexity and volumes. * Collaboration with data scientist to build and deploy machine learning models. **Assistant Vice President Expectations** * To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. * Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional
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