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Data Modeller
Luxoft
London, GBR
Full-time
Mid
Discovered Yesterday
• Domain Experience o Proven experience in complex capital market projects o Experience delivering data warehouse or data platform initiatives • Data & Technology Awareness o Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake) o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling) o Ability to engage effectively with architects and engineers without needing to be hands-on o Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD • Delivery Methodologies o Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence) o Ability to operate in hybrid Agile/Waterfall environments where needed o Able to analyse and interrogate data formats such as XML, fPML • Stakeholder Management o Excellent communication and influencing skills across technical and non-technical audiences o Experience working with senior stakeholders and clients in a delivery-critical environment
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Ready to ScanKey skills for this role
• Domain Experience o Proven experience in complex capital market projects o Experience delivering data warehouse or data platform initiatives • Data & Technology Awareness o Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake) o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling) o Ability to engage effectively with architects and engineers without needing to be hands-on o Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD • Delivery Methodologies o Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence) o Ability to operate in hybrid Agile/Waterfall environments where needed o Able to analyse and interrogate data formats such as XML, fPML • Stakeholder Management o Excellent communication and influencing skills across technical and non-technical audiences o Experience working with senior stakeholders and clients in a delivery-critical environment
Key Skills for This Role
• Domain Experience o Proven experience in complex capital market projects o Experience delivering data warehouse or data platform initiatives • Data & Technology Awareness o Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake) o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling) o Ability to engage effectively with architects and engineers without needing to be hands-on o Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD • Delivery Methodologies o Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence) o Ability to operate in hybrid Agile/Waterfall environments where needed o Able to analyse and interrogate data formats such as XML, fPML • Stakeholder Management o Excellent communication and influencing skills across technical and non-technical audiences o Experience working with senior stakeholders and clients in a delivery-critical environment
Full Job Posting
Responsibilities
- Delivery o Ensure alignment between technical delivery and business objectives o Define data models for broad range of financial instruments o Determine the appropriate representation for each trade type and ensure a standardised data model that can be applied o Drive AI usage within the program o Build a view of the upstream and downstream systems and their required usage of data • Stakeholder Management o Act as the primary point of contact for senior stakeholders across technology, product, and client teams o Manage expectations, communicate progress, and escalate risks effectively o Facilitate workshops to gather and refine business and data requirements
Skills
- Domain Experience o Proven experience in complex capital market projects o Experience delivering data warehouse or data platform initiatives • Data & Technology Awareness o Solid understanding of modern data architectures, including cloud data warehouses (e.g. Snowflake) o Familiarity with data engineering concepts (ETL/ELT, pipelines, APIs, data modelling) o Ability to engage effectively with architects and engineers without needing to be hands-on o Strong understanding of a broad range of financial instruments across FX, MM, IRD, EQD • Delivery Methodologies o Strong experience with Agile methodologies and tooling (e.g., Jira, Confluence) o Ability to operate in hybrid Agile/Waterfall environments where needed o Able to analyse and interrogate data formats such as XML, fPML • Stakeholder Management o Excellent communication and influencing skills across technical and non-technical audiences o Experience working with senior stakeholders and clients in a delivery-critical environment
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