Design, build, and optimise scalable, efficient data pipelines and workflows to support operational and business reporting.
Consolidate data from multiple internal and external sources into a unified, trusted data repository.
Databricks Development
Develop, maintain, and optimise Databricks workflows, ensuring reliable, timely, and high-performance data delivery.
Implement best practices in data engineering, including performance optimisation, monitoring, and cost efficiency.
Data Modelling & Reporting Enablement
Design and implement robust data models to support downstream analytics, BI tools, and reporting requirements.
Support the migration of existing reporting infrastructure from on prem to Azure, ensuring continuity and data integrity.
Support the BI report setup using tableau or powerbi
Data Quality, Governance & Security
Ensure high standards of data quality, accuracy, and consistency throughout the data lifecycle.
Proactively identify and resolve data quality issues.
Ensure all solutions adhere to data governance, security, and privacy best practices.
Collaboration & Stakeholder Engagement
Work closely with cross-functional teams including data scientists, analytics teams, IT, and business stakeholders.
Partner with US and UK-based client teams to deliver data solutions aligned to business and reporting needs.
Documentation & Delivery
Create and maintain clear, comprehensive technical documentation covering pipelines, workflows, and data models.
Contribute to agile delivery processes, including version control, code reviews, and continuous improvement initiatives.
Your profile & experience
Minimum 5 years’ experience as a Data Engineer, ideally in cloud-based environments such as Databricks, AWS, or Azure.
Strong experience designing and building ETL pipelines for large, complex datasets.
Solid understanding of data lake and data warehouse architectures and data modelling techniques.
Advanced SQL skills and experience working with large-scale datasets.
Advanced knowledge of python programming language
Experience integrating data from multiple systems and sources to create a unified data model.
Experience working with BI and reporting tools such as Tableau, or Power BI.
Experience working in agile development environments and using version control tools (e.g. Git).
Strong communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
Desirable: Experience designing and automating ETL workflows, including the use of tools such as Alteryx.
If this really interests you and you are attracted to pushing yourself to a rewarding career, then please apply now and our Recruitment Team will be more than happy to speak with you.
[ever] creative. [ever] committed. [ever] connected.
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