626 to 637 of 637 Data Engineering Jobs

Architect Financial Services | London | Hybrid At Datatech Analytics, we're delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services. The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform … data and AI drive decision making across the business. As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions. The role You will design and architect enterprise AI platforms ...

market, from early-stage start-ups to global scale-ups. Our focus is simple: help build the teams shaping the future of AI, software, data, and intelligent infrastructure. We work closely with founders and technical leaders as long-term talent partners, helping them scale high-impact teams. The Opportunity … hiring a Technology Recruitment Consultant to support growing demand across either Software, Platform, AI, ML, and Data Engineering. This is a true 360 role, combining delivery excellence with commercial ownership. You’ll run technical searches end-to-end while also helping grow your own client portfolio. If you want ...

team works directly with scientists and collaborators to define problems, build models and pipelines, and deliver usable solutions. The group collaborates closely with Data Engineering and Infrastructure teams to deploy scalable AI systems. Key Focus Areas Health foundation models (DNA/patient journey modelling) Autonomous Labs – ML, vision … Hiring Applied AI Scientists and AI Engineers across multiple levels, with interest in: Computer Vision (3D reconstruction, sensor systems) Protein/DNA modelling LLM engineering with production deployment Candidates should be comfortable building robust ML pipelines and scalable systems , working closely with domain experts, and delivering practical outputs ...

with senior decision-makers. The Regional Sales Manager will report to the Regional Manager – Europe and work closely with internal teams including Marketing, Product, Engineering, and Centers of Excellence. Key Responsibilities Identify and develop new business opportunities across Europe within targeted industries. Generate $1M+ annual revenue from new client … above) within client organizations. Position and sell Digital Transformation solutions including Application Development and Maintenance, Managed Network and Application Services, Enterprise Application Implementation, and Data Engineering and Migration. Collaborate with internal teams to deliver tailored client solutions. Work closely with Marketing, Product teams, and Centers of Excellence ...

raised $10M+, backed by investors with early stakes in Slack, Meta, and BeReal , and growing quickly! Backend-heavy Python, though spanning product, devops, and data engineering too. You'll write production code managing tens of thousands of physical assets, talk to clients, get feedback from users, and work ...

models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python. • Build backend services and APIs using Flask or Django for AI-powered … integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools. • Design scalable architectures for AI solutions including model deployment and data pipelines. • Build REST APIs and microservices to integrate AI models with enterprise applications. • Work with cloud platforms (Azure preferred) to deploy and scale AI applications. ...

days/week) Key Skills Required: Strong hands-on experience with Snowflake and DBT (must be able to articulate use cases delivered) Python for data engineering and orch click apply for full job details ...

application. Note: The above information relates to a specific client requirement As a team : We are one of the world's leading providers of data engineering. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies ...

once they take on the additional responsibilities. They will build out the AI offering in the States, and working closely with the consultants doing data engineering and benefit from some of their relationships Looking for Someone with a decent BD methodology that you have applied in a similar … market (data/tech/IT) £30-50K + commission ...

they take on the additional responsibilities. They will build out the AI offering in the States, and working closely with the consultants doing xkybehq data engineering and benefit from some of their relationships Looking for Someone with a decent BD methodology that you have applied in a similar … market (data/tech/IT) £30-50K + commission ...

period of growth and structural transformation. Led by a highly experienced Lead BI Engineer with over a decade of tenure at the firm, the data team is expanding to tackle a significant backlog and drive new strategic initiatives. We are looking for three experienced BI Engineers to join … long-term professional growth. The Role As a BI Engineer, you will be instrumental in clearing a high-priority backlog and developing robust data solutions. You will work closely with a supportive leadership team in an Azure-heavy environment, ensuring data integrity and high-quality reporting ...

teams and global partners to deliver world-class AI platforms. Key Skills & Experience: 10+ years of technical leadership (with a strong background in Software Engineering/Enterprise scale architecture) Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes … containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in AI or cloud technologies. If you have these skills and would like ...