Junior AI Data Engineer, Software Engineering

Junior AI Data Engineer Department: Software Engineering
Employment Type: Full Time
Location: London

Description Zencargo is looking for an AI Data Engineer to join our collaborative and forward thinking software team. In this role, you’ll play a key part in shaping how we use data to power intelligent agents and generative AI features, bringing structure, stability, and context to real-world supply chain problems. You bridge the gap between data systems and intelligent agents, enabling the Zencargo team to move from clever prompts to stable, contextualised AI features. We’re looking for someone who understands the data context for AI, feeds models intelligently, and brings structure and reliability to AI outputs. We are committed to your growth and will provide mentorship and opportunities to develop your skills in a supportive environment.
Key Responsibilities
Over the next 12 months, we would expect you to become proficient in the following:

Data Solutions and AI context engineering Translate complex business processes and workflows into structured, logical input that agents and models can understand.
Design, build, and deploy Python solutions that enhance our data products and bring new AI capabilities to the team.
Ensure the correct datasets are used to power model inputs, prompt context, and agent memory.
Implement systems to validate, test, and monitor AI outputs, improving stability over time.
Support on ensuring data security, governance, and compliance within the cloud environment.

Data Pipelines Design and build data foundations for AI use cases, focusing on providing reliable, relevant, and timely data context to models and agents.
Curate, structure, and maintain databases and datasets optimised for AI consumption.
Design and maintain scalable ETL/ELT pipelines to transform and prepare data.
Maintain and optimise SQL-based transformations and data models to ensure accuracy and performance.

Solutions Lifecycle Troubleshoot and resolve data-related issues, improving data flow efficiency and performance.
Evaluate and recommend improvements in our data tools, architecture, and practices, focusing on long-term scalability and adaptability.

Collaboration Act as a bridge between data and AI, ensuring models operate on trusted, structured, and semantically rich data.
Work cross-functionally with the Lead Data Engineer, AI & Automation engineers, and product stakeholders.
Collaborate with analysts and operations experts to align datasets and AI capabilities with business logic and user needs.

What You Will Need Soft Skills You have a willingness to constantly learn and stay curious, continuously educating yourself on new technologies, tools, and best practices in data and AI.
You enjoy working collaboratively with engineers, analysts, and product teams to bring clarity and structure to complex data problems.
You thrive in team environments, are open to feedback, and communicate well with technical and non-technical stakeholders.
You are passionate about solving both business and technical problems with a strong analytical mindset and attention to detail.
You are self-motivated and able to take the initiative to tackle incoming challenges.
You work effectively under time constraints and can manage competing priorities.

Technical Skills Experience in a role focused on data structuring, transformation, and visualisation.
Python skills, particularly for scripting, data manipulation, and integrating with AI tools and APIs.
Experience in optimising SQL queries and managing complex datasets.
Comfortable using version control tools such as Git to collaborate and maintain clean code practices.

Nice to have An understanding of data warehouse concepts and experience in data modelling, designing and building data warehouses.
Familiarity with data modelling and designing data structures that support both analytics and AI/LLM use cases.
An understanding of how to select, structure, and feed datasets into LLMs and AI agents.
Experience building and maintaining ETL/ELT pipelines, including orchestration and automation.

You are not expected to be an expert in all of these technologies and tools, we are happy to support your learning journey, whether you are new in this field or a recent graduate with 1-2 years experience. If you're unsure about any of the above but looking to grow and develop in the AI space, please apply.
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