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The data platform team ensures consistent, timely, and accurate data delivery to consumers, while maintaining scalable and efficient pipelines. Our stack consists of:
This role requires hands-on experience in building and optimising data pipelines and notebooks, transforming large datasets, and enabling data-driven decision-making across the organisation.
As a Senior Data Engineer within the Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
We are looking for ambitious people who can help us understand our data better, contribute to building robust data pipelines, and help model our data so that stakeholders and team members can extract better insights from it.You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnership agreements.
This role will support the design and delivery of the data warehousing, data infrastructure and (where required) the migration of existing data sources (data pipeline and Extract Transform Load (ETL) processes), the primary objective is to create a secure and efficient route for dispersed data sets to be accessed, analysed and visualised through tools such as Power BI and Excel power query.
If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Senior Azure Data Engineer, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our users. The role is responsible for innovating, building and maintaining technology services.
Hands on ETL, data pipeline and data modelling at Cloud platform.
As a Data Platform Engineer, you will join our dynamic Engineering team developing cutting-edge data product solutions. You will build and maintain applications ranging from cloud infrastructure automation, APIs, query engines, and orchestration platforms.
The role involves analyzing business needs and translating them into functional solutions to deploy machine learning models and optimize their performance.Candidates should have experience in data science, strong problem-solving skills, and the ability to work effectively in cross-functional teams.
We are seeking a skilled Data engineer for our client. In this role, you will be responsible for designing and maintaining a robust data architecture, developing efficient ETL processes, and supporting analytics initiatives. You will collaborate closely with business stakeholders to translate their needs into actionable data models, ensuring data integrity and usability.
You will join as a Data Platform Engineer joining a team of committed data specialists. As our data strategy begins to take shape, we want to use our data to improve all our business processes and that means allowing our teams to experiment and innovate as they deem fit. Within data platform engineering, this translates to building the frameworks and tooling data engineers, analysts and scientists utilise, enabling platform users to focus on value delivery.
Big team of Data Analytics as a Data Scientist, where you will be part of a dynamic group of data scientists and engineers. Building a cutting-edge data platform, models, and tools to revolutionize analytics and enable data-driven decision making on a large scale.
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