Senior Data Engineer

Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.

Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.

Job Title: Data Architect / Engineer

Job Type: Fulltime/Contract (12M).

Job Location: Glasgow

Job Description: Position Summary

This role will be key to helping our divisional leadership to making informed, data-driven decisions by developing a sophisticated, scalable and explainable decision model to aid workforce planning.

The ideal candidate will have deep expertise in data science, analytics and systems thinking, with a proven ability to work across different businesses. This is a high-impact role with the work output to be visible at the executive level.

Key Responsibilities:

Design & Architecture: Lead design for decision support model from formation through to deployment. Define model framework that balances predictive accuracy with interoperability and useability.

Data Integration & Engineering: Partner with other teams responsible for datasets required to be leveraged so it can be sourced, cleansed, and prepared into a structured format, where possible.

Model Development: Apply statistical, machine learning or optimization techniques to develop a robust decision support system. Simulate scenarios, perform sensitivity analysis, and create “what-if” tools for stakeholders.

Business Analysis: Translate business requirements into analytic frameworks and technical solutions. Work closely with business stakeholders to ensure the model aligns with strategic goals and operational needs.

Data Visualisation & Communication: Build dashboards, reports or interactive tools that clearly communicate model outputs and decision recommendations for executive levels.

Governance & Monitoring: align with governance practices including model risk management, validation, versioning, performance tracking and recalibration. Establish KPIs to measure the impact of the model on decision quality and business outcomes.

Qualifications:

• Experience: Minimum of 5 years of experience in data science, analytics, operational research or a related field.

• Advanced degree in a quantitative field (e.g. Data Science, Engineering, Mathematics, etc.).

• Working knowledge of Snowflake Cortex.
• Some experience with Power BI.
• Need to create agents in Copilot.

Preferred Skills (Required): Snowflake, Snowflake Coretex, Power BI, Copilot.

Key Skills Desired:

• Data Modelling: Ability to build a methodology with statistical techniques and then scale and automate.

• Industry Expertise: Demonstrated experience across diverse sectors including Banking, Insurance, and Consultancy, focusing on Data Analytics and Data Insights.

• Stakeholder Engagement: Adept at translating analytical findings into actionable insights for various stakeholders, ensuring stakeholder centric outcomes.

• Project Management: Proficient in managing end- to- end analytics projects, leading initiatives to explore customer journeys, and data to drive business decisions.

• Technical Proficiency: Skilled in SQL, Google Cloud Platform Big Query, Adobe Analytics, Tableau, Power BI, and Python, delivering data- driven recommendations and ensuring data quality in projects.

• Commercial Analytics: Engaged in projects to understand impact on revenue, automated reporting, and improved efficiency using SQL, SAS, and Alteryx.

• Data Quality and Governance: Ensured compliance with regulatory guidelines and addressed data gaps.

• Regulatory Compliance and Reporting: Supported creation of dashboards & reporting, liaising with stakeholders and managing ad hoc MI requests.

• Project Exposure: Performed profiling and trend analysis, analysis of large complex datasets to support decision- making, A/B testing, measurement of impact on commercial outcomes, impact analysis, performance analysis, identification of remediation issues involving data.

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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.