Data Engineer

Join a highly successful and growing financial services organisation that places data at the centre of its business strategy. With significant investment in technology, cloud platforms, and business intelligence capabilities, the company is embarking on an exciting phase of data transformation and modernisation.

This is an opportunity to work within a collaborative environment where data is viewed as a strategic asset, giving you the chance to influence the direction of the organisation’s data architecture and reporting capability.

Your new role As a Data Engineer, you will play a key role in the design, development, and optimisation of the company’s enterprise data platform. Working closely with business stakeholders, technical teams, and third-party partners, you will help transform raw data into meaningful insights that support strategic decision-making across the organisation.

Key responsibilities will include:

• Designing and developing data pipelines, ETL processes, and data integrations.
• Building and maintaining data warehouse solutions and data repositories.
• Developing robust data models, including fact and dimension tables for reporting and analytics.
• Managing data quality, governance, lineage, and security across the data estate.
• Creating and enhancing reporting and business intelligence solutions, including Power BI.
• Supporting cloud-based data environments across Azure and AWS.
• Collaborating with stakeholders to translate business requirements into scalable technical solutions.
• Contributing to the ongoing evolution of the organisation’s data strategy and architecture.
• Supporting platform migrations and continuous improvement initiatives.

• At least 5 years’ experience in a Data Engineering or similar data-focused role.
• Strong SQL skills, including T-SQL and exposure to relational database technologies.
• Proven ETL experience, with SSIS being essential.
• Experience with scripting languages such as Python or PowerShell.
• Strong understanding of data modelling, warehousing concepts, and dimensional modelling.
• Experience working with cloud platforms such as Azure and/or AWS.
• Knowledge of Agile delivery environments and the Software Development Lifecycle.
• Experience designing and maintaining scalable, secure, and high-performing data solutions.
• Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
• Any experience with Fabric, Databricks, Snowflake, DevOps, data migration projects, or financial services environments would be highly advantageous.

• Competitive salary package.
• Generous private healthcare provision.
• Excellent pension scheme.
• Hybrid working model.
• Opportunity to influence and shape the future direction of a growing data function.
• Exposure to modern cloud technologies and large-scale data transformation projects.

A collaborative working environment that encourages innovation, ownership, and professional development.

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