Data and AI Engineer (Early Career)
5 days ago
Brighton
Location: Brighton Marina, UK (Hybrid) Reporting to: Lead Data Engineer The Role: We are looking for an early-career Data & AI Engineer to join our data function and work closely with an experienced Lead Data Engineer. This role is suited to someone with a strong academic foundation in computer science, data, or AI, and some commercial experience applying those skills in real-world environments. You’ll have responsibility for improving the quality, accuracy and usability of our customer and platform data, while unlocking automation, reporting and AI-powered insights across the business. You will directly contribute to a variety of automation initiatives, helping to apply AI techniques to operational problems across the business, enriching and segmenting CRM prospect data for revenue growth and influencing cross-team workflows and processes. This is a hands-on technical role with strong exposure to business operations, working alongside marketing, sales, onboarding, customer success, and product teams to help them operate more efficiently and make better data-led decisions. Key Responsibilities: 1. Data operations & support • Maintain clean, accurate, and well-structured operational data, • Support and implement data enrichment and segmentation strategies, • Support data cleaning, validation and transformation, • Assist with data migration and operational data support 2. Automation & process improvement • Contribute to building and maintaining automations that reduce manual effort across onboarding, customer success, marketing, and sales, • Support the extraction, transformation, and validation of operational datasets, • Help translate repetitive or inefficient processes into systemised or automated solutions 3. Applied AI & optimisation • Work with the data team to identify where AI techniques can support internal workflows and decision-making, • Assist in prototyping and testing AI-enabled use cases such as workflow automation, scoring, classification, or internal tooling, • Apply academic or early commercial AI knowledge to practical business problems 4. Cross-functional collaboration • Proactively source and shape data to surface trends and identify market opportunities for prospecting customers, • Support the rollout and adoption of new data tools, automations, or processes, • Work day-to-day with non-technical teams to understand data needs and operational challenges, • Help explain outputs and findings clearly to non-technical stakeholders 5. Analytics & reporting • Support the creation and maintenance of reports or metrics used by operational teams, • Assist with monitoring data quality and system health, • Contribute to analysis that helps teams understand onboarding progress, usage patterns, or operational performance Requirements: Essential • Strong understanding of relational databases, • SQL experience (approx. 2 years, inc. academic or commercial use), • Python experience (approx. 2 years, inc. academic or commercial use), • Experience cleaning, validating and transforming data, • CRM data management or operational data mapping experience, • Familiarity with AI concepts and their practical application, • Strong analytical and problem-solving skills, • Ability to communicate clearly with both technical and non-technical colleagues Desirable • Familiarity and applied knowledge of machine learning, • Experience with automation or process improvement, • Exposure to analytics or dashboards Personal Attributes • Curious and eager to learn, • Pragmatic and focused on delivering practical outcomes, • Able to balance technical quality with business needs, • Motivated to grow into a more senior data or AI role over time What Success Looks Like • Operational teams trust the data they use day to day, • Manual data work is reduced through automation and better processes, • Migrations and operational support tasks are delivered accurately and on time, • AI and optimisation techniques are applied pragmatically to real business problems, • You grow in confidence, technical depth, and independence over time