Data Engineer

Overview

Robert Half Technology are assisting a market leading real estate organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 In this role, you will manage and optimise the data infrastructure, driving insights and supporting our decision-making processes. Your expertise will be crucial in contributing to our organisation's data-driven success. As a key member of our team, you will have the opportunity to work on exciting projects and make a significant impact on our business Role The Data Engineer will design, develop, and maintain data infrastructure to ensure reliability, scalability, and performance. Collaborate with data scientists and analysts to fulfil their data requirements and support their work. Collect and process datasets from various sources, ensuring data quality and integrity. Implement efficient data models and schemas for storage and retrieval. Optimize data processes for improved performance and efficiency. Troubleshoot and resolve data pipeline issues swiftly and effectively. Keep abreast of industry trends and emerging technologies in data engineering, and continuously improve your skills and knowledge. Profile The Data Engineer will demonstrated experience as a Data Engineer, with a strong track record of success. Mastery of data management and processing tools, including Power BI, Data Factory, Databricks, SQL Server, and Oracle. Proficient in SQL and experienced in database administration. Familiarity with cloud platforms such as Azure and AWS. Excellent problem-solving and analytical skills, with strong attention to detail. Strong communication and collaboration abilities, with the ability to work effectively in a team environment. Company Rapidly growing real estate organisation Hybrid working - 2/3 day per week onsite Outside IR35 Salary & Benefits The salary range/rates of pay is dependent upon your experience, qualifications or training.

Responsibilities

• Design and maintain data infrastructure to ensure reliability and performance.
• Collaborate with data scientists and analysts to meet their data requirements.
• Collect and process datasets from various sources while ensuring data quality.
• Implement efficient data models and schemas for storage and retrieval.
• Optimize data processes for improved performance.
• Troubleshoot and resolve data pipeline issues promptly.
• Stay updated on industry trends and advancements in data engineering.

Requirements

• Demonstrated experience as a Data Engineer with a proven track record.
• Mastery of data management tools such as Power BI, Data Factory, and Databricks.
• Proficient in SQL and experienced in database administration.
• Familiarity with cloud platforms like Azure and AWS.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities in a team environment.