26 to 35 of 35 Data Lake Jobs in Manchester

RoleWe are seeking a talented Senior Software Engineer to help build and run the data services and platform behind Datalex's dynamic pricing and offer optimisation. This is a Python-first, backend and infrastructure-focused role: you will work on end-to-end solutions — from robust application code … optimise data pipelines on AWS to collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing ...

Anaplan’s forecasting solutions. The team is responsible for the production execution of forecasting and predictive models, the MLOps infrastructure supporting our data scientists, and the data processing services that deliver insights to enterprise customers. This role reports to the Director of Engineering for Predictive Intelligence … models, neural networks, and optimization solvers in production. Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data scientists to operationalize research code. Multi-cloud experience across AWS, GCP, and Azure. Background in forecasting ...

identify architectural patternsMonitor compliance of cloud resources to see if they fit industry guardrails and best practicesResearch and propose solutions for AWS data transformation, data connections, operational frameworks, and application integrationWork closely with lead architects and engineers to create and maintain architectural templates and build/… pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake components).Proven ability to take research and prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud security ...

ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can't keep up. Maia fixes that by combining 15 years … data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we're global - with teams across ...

ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years … data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across ...

these can be employed alongside D365 F&OBring extensive experience in defining and delivering technical architecture, environment management, integrations and data strategiesEnsure best practice in every aspect of a technical solution, promoting the use of appropriate design patterns for application extensions, data and integrationsLeading and guiding … integrations, data schemas and complex application extensionsUnderstanding of licensing modelsExperience in environment managementWorking knowledge of Fabric, Synapse and data lake technologiesRelevant experience with multiple full life-cycle implementations of MS D365 F&ODemonstrates knowledge and experience in ERP implementation methodology and principlesEffective time-management, attention ...

Power Apps and Power Pages Creating integrations between Dynamics 365 and other business systems Working with APIs, Azure services, and cloud technologies Supporting data and reporting solutions using Microsoft tools Contributing to release management, deployments, and DevOps processes Collaborating with architects, project teams, and business stakeholders … large-scale transformation programmes Microsoft Fabric Power BI Dual Write and Dynamics integrations SharePoint integrations Microsoft Entra ID Azure Function Apps, Data Lake, or Key Vault BENEFITS Flexible working options 33 days holiday including bank holidays Holiday purchase scheme Enhanced family friendly benefits (maternity, adoption, paternity ...

when Databricks gets serious? We're looking for a Databricks Architect/Databricks Champion to lead the design and delivery of modern Data & AI platforms for enterprise clients across a range of industries. This isn't just another architecture role. This is an opportunity to become the trusted … advisor who helps organisations unlock the full power of their data, shape AI strategies, and build scalable cloud-native platforms that deliver real business value. What You'll Be Doing Designing and implementing enterprise-scale Databricks solutions Leading Data & AI platform architecture across Azure ...

into robust technical solutions with clear traceability for stakeholders. Experience using architecture modelling techniques and tools to design and communicate solutions. Knowledge of data integration technologies including real-time and batch processing across multiple source systems. Experience of analytics and reporting platforms, including data warehousing, data … design secure, scalable solutions across cloud, hybrid and on-premises environments while leading architectural governance, influencing technology strategy and driving innovation across data, analytics and reporting platforms. As part of DWP Digital's Data Insights and Analytics community, you'll mentor and support other architects, helping ...

BIDs, accounting for up to 5% to 10% of the role. Engage with the commercial team to drive high‐value Cloud and Data advisory roles. Ambassadorial Presence: Act as an ambassador for CreateFuture in the public space, attending events, speaking, blogging, or leveraging social media to support … solo contributor. AI‐Native Infrastructure: Architect and implement the core engineering infrastructure required to run AI workloads reliably, moving client architectures from static data lakes to dynamic Vector Databases and Retrieval‐Augmented Generation (RAG) architectures. Agentic Development: Build production‐grade Agentic Workflows and custom AI agents, utilising advanced ...