. Interpret the data to improve processes across the business Data Engineering: Proficient when using SQL, Python and Git

, and model components in Python and SQL, supporting implementation and reuse. Collaborate with traders and subject matter

tool, such as Python, SQL, Alteryx, Amazon QuickSight, or similar - Bachelor's degree in a relevant field (e.g

SQL, data modelling and platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance

design, SQL, and modern analytical database technologies (particularly DuckDB), including building large, well-structured

, validating outputs and improving reporting processes. Advanced SQL capability, with the ability to query, manipulate, reconcile

-time hot-lead handoff to sales Post-event: own lead scoring and routing into the MQL/SQL process, drive structured follow..., and clean handoff of MQL to SQL Optimise marketing funnel performance using data-driven insights and continuous testing

optimisation services. To be successful as a Data Scientist, you will need the following: Proficiency in SQL, SAS, Python

(Excel, Word, Powerpoint) Desired ability to code in VBA, SQL, Python and use Gen AI Competencies required A team

to work directly with customer data, including SQL or similar data-querying tools, to identify opportunities and generate

up relational database tables, including but not limited to SQL Server and Dataverse. Engage with clients and present

Essential Good understanding of database architecture and querying using SQL, including strong SSIS skills Desirable... and querying using SQL, including strong SSIS skills Desirable Experience of working within an ITIL framework or a development

in Python and SQL, comfortable across the stack (data pipelines, APIs, cloud infrastructure, light front-end tooling) Hands

deployment and management. - Design and optimize SQL database solutions (Oracle, PostgreSQL, MySQL). - Implement messaging

actionable recommendations to stakeholders. Using SQL to extract, interrogate and validate data from HR systems and wider... and interpreting SQL queries. Experience working with HR systems, ERP platforms or HR technology solutions. Excellent attention

from structured sources using SQL or equivalent, knows what AI and more deterministic web extraction can and cannot do, and can hold

such as Power BI and SQL, you'll help ensure that our reporting is accurate, accessible and commercially relevant, translating...: Designing, building and maintaining a suite of clear, reliable dashboards and management reports using Power BI. Using SQL

/GitHub Actions, and automated deployment tools. - Work with SQL and NoSQL databases, ensuring robust data handling

such as VBA and SQL Additional Information Our inspired people share our vision and mission. We provide a great place to work

to join our fast-growing Experiences Engineering team. This is a full-stack role, leveraging Java, SQL, React, AWS and AI tools. It