1 to 3 of 3 Contract Data Quality Jobs in Merseyside

We work collaboratively, share our knowledge and expertise and above all love what we do and why we do it. We are seeking a Data Manager on a two year fixed term basis to provide support across the entire business within the newly created process transformation department. The Data Manager will be responsible for managing and maintaining data within the company's databases and data systems. The Data Manager plays a crucial role in ensuring data accuracy, integrity, and accessibility, and supports various departments by providing reliable data for analysis and decision-making. … The Data Manager collaborates with the process transformation team and business stakeholders to develop and implement data management strategies, policies, and procedures. Key Responsibilities Conduct data entry tasks with meticulous attention to detail, ensuring data accuracy and completeness. Perform regular data quality checks to more »

meet local health and safety requirements Generate prescriptions in preparation for signing by relevant clinicians Support the management team in maintaining high levels of data quality and information management Support the wider team with commitments, to include organising diaries, allocating, arranging, cancelling and rebooking meetings and events Be … record in a similar role, ideally within a business support or office function. You will have excellent IT skills, including the ability to collate data and use and manage databases. You will have the ability to build and maintain effective relationships with a range of internal and external stakeholders. more »

About the Role: 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 … remote/hybrid working options and a competitive day rate of £250-£400, falling inside IR35 regulations. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, Python, Spark, and SQL. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions. Optimize and troubleshoot data workflows to ensure efficiency and reliability. Implement data quality and validation checks to ensure data integrity. Contribute to the development and maintenance of our data lake and data warehouse solutions more »