Aquent
AI-Enabled Data Analytics Engineer [AQ-15909]
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Aquent is partnering with a prominent, forward-thinking organization at the forefront of innovation, dedicated to leveraging cutting-edge technology to solve complex business challenges. This client is known for its dynamic environment and commitment to pushing the boundaries of what’s possible in the digital landscape.
Are you ready to shape the future of data-driven decision-making? We are seeking a visionary and hands-on engineer to join our client’s team, where you will play a pivotal role in building scalable data, analytics, and AI-assisted automation solutions. This is an incredible opportunity to drive significant impact, transforming raw data into actionable insights and intelligent systems that directly influence business strategy and operational efficiency. If you thrive on innovation, possess a keen eye for detail, and are passionate about leveraging AI to accelerate development and deliver robust solutions, this is your chance to make a tangible difference.
Key Responsibilities
- Design, build, and optimize data pipelines and analytics solutions using leading data analytics platforms.
- Develop efficient SQL and Python solutions for data transformation, analysis, and automation.
- Utilize AI-assisted development tools, including Claude Code, Cursor, VS Code, GitHub Copilot, and ChatGPT, to accelerate development, debugging, documentation, testing, and code review while maintaining full accountability for the quality and correctness of the final output.
- Build and improve AI agents, reusable skills, prompt templates, and automation workflows that support repeatable analytics, documentation, testing, and business-process automation use cases.
- Own AI agent documentation, context files, Markdown-based knowledge sources, prompt libraries, and business rules that govern AI behavior and make outputs repeatable, auditable, and maintainable.
- Apply context engineering by curating source materials, instructions, examples, business rules, and validation criteria that improve the quality, consistency, and reliability of AI-generated outputs.
- Validate AI-generated code, analyses, and recommendations to ensure technical accuracy and business relevance.
- Partner with business stakeholders to translate requirements into scalable analytics and AI solutions.
- Ensure data quality, governance, and continuous improvement of analytics and AI capabilities.
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Required Qualifications
- Experience in Data Analytics, Analytics Engineering, or Data Engineering.
- Strong experience with leading data analytics platforms, SQL, and Python.
- Hands-on experience using AI-assisted development tools such as Claude Code, Cursor, VS Code, GitHub Copilot, or ChatGPT to support coding, debugging, documentation, testing, or analysis workflows.
- Strong analytical thinking, communication, and problem-solving skills.
- Ability to review, validate, and improve AI-generated code, documentation, and analytical outputs before they are used in business or production contexts.
Technical Skills
- Programming: Python, SQL, PySpark
- Data Platforms: Leading data analytics platforms (e.g., data lakehouses)
- Data Engineering: ETL/ELT, Data Modeling, Data Quality, Performance Optimization
- AI Development: Agent workflows, prompt engineering, context engineering, validation patterns
- Development Tools: Git, GitHub
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Core Competencies
- Critical thinking and sound engineering judgment.
- Ability to validate, challenge, and own AI-generated outputs.
- Strong understanding of business processes and stakeholder needs.
- Ability to translate ambiguous business needs into well-scoped analytics, automation, and AI-agent solutions.
- Ownership, accountability, and a continuous improvement mindset.
- Ability to identify opportunities to automate business processes using AI while ensuring governance, quality, and trust.
This role is ideal for a hands-on engineer who can combine data engineering, analytics, software development, and responsible AI adoption to deliver reliable, scalable business solutions.
Client Description
A multinational cloud-based software company specialising in a series of products designed to drive creative innovation across multimedia. Used by millions around the world for personal and professional use across all industries.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
Other Requirements
This is a 12-month, hybrid contract offering up to £43.96 per hour (PAYE) for 35 hours per week. Shortlisted candidates will be contacted as soon as possible.
Due to the volume of applications, we are unable to respond to each candidate individually.
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