Data Engineer

JR United Kingdom; Milton Keynes; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading data consulting firm in Milton Keynes is seeking a Data Engineer to join their Professional Services division. You will collaborate with a team to utilize data engineering and AI techniques to help clients enhance business processes. The ideal candidate is skilled in Azure technologies and capable of communicating complex concepts to non-technical audiences.

Qualifications

• Experience using Azure or other cloud platforms essential.
• Ability to explain complex technical concepts to non-technical audiences.
• Strong problem-solving skills using data and AI.

Responsibilities

• Collaborate with experts to discover insights in various data sources.
• Use data engineering to drive business improvements.
• Build, orchestrate, and optimise data and AI pipelines.

Skills

Collaboration

Communication

Problem Solving

Analytical Thinking

Detail-Oriented

Lead by Example

Adaptability

Tools

Azure (ADF, Azure Databricks, Data Lake Storage, SQL DWH)

Spark

Databricks

Machine learning frameworks

MLOps

Job description

Due to continued growth, we are currently looking for a Data Engineer to join our Professional Services division. You will be part of a cross-functional Data Consulting team spanning data engineering, data science, AI, analytics, and visualisation.

You will work with clients across multiple sectors, helping them explore next-generation data techniques, AI capabilities, and tools to drive measurable business value from their data assets.

A day in the life of an Aiimi Data Engineer:

• Collaborate with business subject matter experts to discover valuable insights in structured, semi-structured, and unstructured data sources.
• Use data engineering and AI techniques to help clients make smarter decisions, reduce service failures, and deliver better customer outcomes.
• Connect to and extract data from source systems, apply business logic and transformations, and enable data-driven decision-making.
• Support strategic planning and identify opportunities to apply AI models or machine learning techniques to enhance business processes.
• Capture data requirements from customer and technical teams.
• Design and implement new data collection processes that ensure completeness, quality, and business relevance.
• Develop innovative ways of working to improve efficiency and scalability.
• Set up interfaces to source systems and collaborate with system owners.
• Build, orchestrate, and optimise data and AI pipelines.
• Diagnose root causes of poor data quality and work with data owners to resolve them.
• Secure and manage data access.
• Support data science teams and other users in data acquisition and preparation.
• Create robust data models and deploy them into production.
• Ensure models, reports, and architectures are promoted to centralised, self-service platforms.

Requirements

• Collaboration: excited to work alongside subject matter experts, data scientists, AI specialists, analysts, and visualisation professionals.
• Communication: able to explain complex technical concepts (including AI and machine learning outcomes) to non-technical audiences.
• Problem Solving: using data and AI as a foundation to tackle business challenges.
• Analytical Thinking: breaking down complex problems into manageable, actionable components.
• Detail-Oriented: maintaining high-quality outputs under tight deadlines.
• Lead by Example: inspiring clients to embrace new technologies, AI innovations, and modern data practices.
• Adaptability: understanding legacy processes while introducing and championing new technology.

Technologies / Tools

• Experience with Azure (ADF, Azure Databricks, Data Lake Storage, SQL DWH) or other cloud platforms (essential).
• Familiarity with distributed systems (Spark, Databricks, etc.).
• Familiarity with semi-structured and unstructured data formats.
• Knowledge of machine learning frameworks and how to operationalise models in production.
• Understanding of MLOps and AI model lifecycle management is a plus.