Rate: Flexible, Depending on ExperienceOverview

We’re looking for an experienced

Data Engineer

to join a project-focused team working on the development and implementation of a robust data model for banking data. This is a

6-month contract

role,

based in Leicester , with a

hybrid working model

(3 days per week in the office). The engagement is

inside IR35 , and

rates are flexible

based on experience.Role Purpose:You’ll collaborate with a small technical team and liaise with IT to ensure the data model is effectively productionised. The ideal candidate will have strong technical data analysis skills, experience with big data technologies, and the ability to communicate complex insights clearly to stakeholders.Responsibilities

Collaborate with a small team to build and refine a banking-focused data model.Liaise with IT teams to transition data models into production environments.Conduct data mining and exploratory data analysis to support model development.Apply strong SQL, Hadoop, and cloud-based data processing skills to manage and analyse large datasets.Support the design and structure of data models, with a working understanding of data modelling principles.Present findings and insights to stakeholders in a clear and engaging manner.Use reporting and visualisation tools such as Power BI to deliver business insights.Contribute to the development of scalable data solutions within a cloud architecture.Key Skills and Experience

Proven experience as a technical data analyst or data engineer in a project-focused environment.Strong proficiency in SQL, Hadoop, and cloud platforms (preferably AWS).Experience with data mining, data modelling, and large-scale data processing.Familiarity with tools such as Python, R, and Power BI.Understanding of cloud architecture and deployment practices.Excellent communication and stakeholder engagement skills.Ability to work collaboratively in a fast-paced, project-driven setting.Experience working on banking or financial services data projects.Knowledge of AWS services and cloud-native data tools.Exposure to productionising data models in enterprise environments.

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