Robert Half have partnered with a fast growing (PE backed) organisation based in central London who are seeking a skilled Data Engineer to join their team.
The candidate will be responsible for designing, implementing, and maintaining scalable data solutions to support their upcoming projects across business intelligence and analytics.
The ideal candidate should have 3-5 years of hands-on experience in managing and optimising data pipelines, with expertise in the specified tech stack including Power BI, Data Factory, Databricks, SQL Server, and Oracle.
I am looking for a talented Data Engineer to join our clients dynamic team on a 6-month contract basis.
This is an exciting opportunity for a mid-level professional with 3-5 years of experience to make a significant impact on our data infrastructure and projects.
The position offers flexibility with remote/hybrid working options and a competitive day rate of £250-£400, falling inside IR35 regulations.
An Exciting opportunity has arisen with one of the UK's largest life insurance brokers to join as a Data Engineer.
Reporting to the Data Platform Manager, you will be responsible for ensuring that all of the raw data is prepared into clear and coherent presentations for the stakeholders.
Be involved in the design, engineering, improvement and productionzation of enterprise level data solutions using appropriate Azure data related resources including Azure Data Factory and Azure Databricks.
Use provided business requirements to engineer appropriate data driven solutions.
Work within the GTS Data Services team using a professional and recognised lifecycle approach covering analysis, planning, design, development, testing, deployment, and maintenance.
My client are seeking a skilled, Lead Data Engineer to play a pivotal role in delivering their data strategy.
In this role, you'll join to build a new multi-skilled team, taking responsibility for shaping the data function and delivering data requirements for projects from inception to full solutions.
Your expertise in designing data pipelines, managing data warehouses, and implementing complex ELT processes will ensure seamless flow, optimal storage, and the transformation of data into actionable insights.