Data Jobs in UK

Title: SQL/Oracle Database Administrator Location: London Division: Shared Services – DBA Team Are you passionate about modernising SQL platforms in the cloud? Key Responsibilities Perform database maintenance and administration tasks across SQL Server and Oracle environments.

Key Responsibilities Lead architectural discovery across systems, integrations, data flows, and dependencies. Define and document security architecture posture (Entra ID/OIDC, encryption, key management, network zoning, data protection).

Lead the end-to-end data architecture design, from data ingestion through transformation to reporting layers. Work with data engineering teams to implement dbt-based data pipelines for data transformation and lineage tracking.

Database Engineer/MySQL Engineer Hybrid/London up to £90,000 Fast-growing Fintech powering complex finance operations across the UK, EU and the US. Tech Stack: MySQL, SQL, Python, AWS (Lambda, RDS, etc) What do you need?

We are seeking a Senior Data Scientist to join our Applied AI team to develop intelligent, data-driven product features, and foundational models that serve our products. You will deliver the Data Science component of key strategic initiatives including owning, maintaining and deploying production-ready ML/AI models, and analysing data to establish the scope and impact of your work You will identify new product opportunities based on data, interpreting model outcomes and sharing insights to drive the direction of our Data Science work You will engage with both technical and non-technical stakeholders & will translate product requirements into Data Science deliverables The opportunity to work with leading AI/ML model development and deployment tooling including GCP Vertex AI, GCP BigQuery, Airflow.

The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. • Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight.

What you’ll do: Develop and deploy predictive models and machine learning solutions to support financial risk assessment and decision-making. Collaborate closely with Product, Engineering, and Risk teams to design and implement scalable data solutions.

Our platform supports hospitality partners across the UK, using data and AI to enable smarter staffing decisions at scale. Key responsibilities Develop AI/ML models to predict demand and optimise labour deployment Build models to monitor and improve service quality in hospitality environments Analyse partner data to identify opportunities and support decision-making Create visualisations and insights for internal and external stakeholders Build and maintain software infrastructure to scale analytics and ML workflows Collaborate across product, engineering, and commercial teams to solve partner problems Essential skills and experience 2+years building and shipping production-grade AI/ML models Strong Python proficiency and experience with relevant ML/AI libraries/frameworks Strong understanding of ML techniques (supervised and unsupervised) and model selection Hands-on experience in one or more of: demand prediction, computer vision, optimisation Familiarity with AWS (ideally SageMaker, Lambda, and data processing tools) Strong foundations in mathematics/statistics/modelling and practical problem-solving skills Comfortable supporting deployment and integration of models (backend exposure such as Python/Django and/or Go is beneficial) Desirable Experience building/maintaining data pipelines in production Knowledge of data lakes, warehousing, and common storage patterns Exposure to tools such as Airflow, Terraform, and broader cloud data services (AWS/Azure) Benefits Competitive salary + equity Private medical insurance Unlimited holiday allowance Workplace pension (3% employer contribution) Office gym membership Social, collaborative office environment Dog-friendly office Show less

About Data Reply: Data Reply is the Reply Group company offering a broad range of analytics and data processing services. www.data.reply.com Role overview: As a Data Engineer joining our Data Reply team in London, you will design and develop high-performance big data applications, manage complex data sets, and work across the full development lifecycle.

Location Remote Germany, Remote UK, Remote Spain, Remote Austria, Remote Ireland, Remote Belgium, Remote Portugal Employment Type Full time Location Type Remote Department Product & Engineering OverviewApplication About RoomPriceGenie ✨🧞‍♂️ Founded in 2017, RoomPriceGenie is dedicated to helping hoteliers around the globe achieve optimal pricing. Own end-to-end data flows, from ingestion services (Django & Celery) to analytics-ready models in the data warehouse.