You will also have the opportunity to engage with senior stakeholders, contribute to cutting-edge projects, and use your technical expertise to shape data-driven transformations within high-profile sectors like Energy, Renewables, and beyond. Participate in solution design, data strategy discussions, and requirements gathering with senior stakeholders and clients. Comfortable in a client-facing role, with excellent communication skills to clearly convey technical information to diverse audiences. Don't worry if you don't tick every box - we're more interested in your potential and willingness to grow with us! Experience with Power BI, Databricks, or Power Platform. In addition to a Competitive Salary, here's what you can expect as part of our benefits package: Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth.

Reporting to a Lead Data Engineer and working closely with the Data Science and Business Development teams, this role will be responsible for driving high delivery standards and innovation in the company. Contributing to proposal submissions and business development initiatives under the direction of the Leadership team. Experience with development, test and production environments and knowledge and experience of using CI/CD. Experience in Azure tools and services such as Azure ADFv2, Azure Databricks, Storage, Azure SQL, Synapse and Azure IoT. *Must be eligible to work in the UK, we are currently not able to provide sponsorship.

Reporting to a Senior Data Engineer and working closely with the Data Science and Business Development teams, this role will be responsible for driving high delivery standards and innovation in the company. Use a variety of Data Engineering tools and methods to deliver. Experience with development, test and production environments and knowledge and experience of using CI/CD. Experience in Azure tools and services such as Azure ADFv2, Azure Databricks, Storage, Azure SQL, Synapse and Azure IoT. *Must be eligible to work in the UK, we are currently not able to provide sponsorship.

Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Foster a culture of innovation, encouraging the exploration of new methodologies and technologies to continuously advance our data products and analytics capabilities. Lead the drive towards building products that address genuine customer needs, putting end-to-end value at the forefront and ensuring the alignment of product development with market demands and customer feedback. Cultivate a culture of technical excellence, ensuring the application of best practices in data science, ML, and software engineering. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description Benefits 💰- Equity in a rapidly growing startup- Private Health Insurance and Life Assurance - Unlimited annual leave - and encouragement to actually use it!

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Familiarity with Machine Learning (ML) production tools and lifecycle. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. Our team builds and maintains platforms, scalable infrastructure services, and applications in support of human computation, enabling the collection, storage, and management of large-scale human-generated or human-augmented datasets used by teams in Google and Alphabet working on GenAI products and services. Collaborate with horizontal infrastructure teams to monitor and report data quality at every stage of the data collection lifecycle, from collection design through training and model release.

We're not just any proptech - we're backed by some of the biggest names in the business, including A/O PropTech, Highland Europe, Mubadala, RXR Digital Ventures and Target Global and work with some of the world's most prominent real estate players. You'll be working on the cutting edge of technology and will thrive if you have a desire to learn and keep up to date with the latest trends in Data Infrastructure, Machine Learning and Generative AI. Take ownership and refine our existing real time data pipelines. Experience in data modelling with dbt Experience organising the data governance across a company, including the matrix of access permissions for a data warehouse. You can help us shape the future of property management across the globe.

Curious, tenacious but always sensitive to our clients' context, we are not afraid to speak our minds to help steer our clients towards understanding and achieving their key goals.

This is an exciting opportunity to work in a fast-paced commercial setting, playing a vital role in a real time, data and software driven trading environment. They are looking to work with someone who can develop an understanding of their business and ultimately take ownership for a variety of technical applications and processes on the desk ​ Equal Opportunity Employer We are an Equal Opportunity Employer and take pride in a diverse workforce!

As the Senior Data Engineer your primary responsibilities will include creating and querying graph databases, performing data engineering and reconciliation, and coding for ETL processes. Ensuring new models, reports and data architectures are promoted and published to centralised self-service data warehouses as required​. Expertise in ETL coding, data engineering, and reconciliation processes.