426 to 450 of 12,695 Permanent Analytics Jobs

quality excursions that arise during the product development and production phases.This is a hands-on role involving deep technical work in Cloud Data Engineering, Analytics and ML.Required Skills & Experience10+ years in data engineering, data warehousing, analytics or similar roles.Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces ...

translate business requirements into BI solutions across Finance, HR, R&D and other teams What You'll Bring 5+ years in Data Analytics/BI, with proven Power BI delivery in production Advanced Power BI (data modelling, DAX) and advanced SQL Experience with enterprise data warehouses, medallion architecture, Kimball methodology ...

design integration contracts with Data Engineering, covering schemas, ownership, lineage, versioning, error handling, service levels and data quality at system boundaries. Partner with Data & Analytics teams to enable ERP data consumption through governed pipelines to platforms such as Azure Data Lake, Fabric and Databricks, using incremental/CDC patterns where … Platform and Dataverse experience, including Power Apps, Power Automate and governance of ERP-adjacent low-code solutions. Familiarity with Azure data tooling and modern analytics platforms including Data Factory, Fabric, Databricks and lakehouse concepts. ITIL/Agile delivery experience, service transition and formal change/CAB participation. Relevant Microsoft Dynamics ...

Management sector - previous experience required Overview We are seeking a hands-on Software/Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. This role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# ...

across complex transformation programmes and directly with senior client stakeholders. The role will cover: • End-to-end data architecture across ingestion, processing, storage and analytics • Modern data platforms including Snowflake and Microsoft Fabric • Data engineering, ETL and scalable data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture ...

that support efficient data processing, integrations, reporting and AI model deployment and execution. Data modelling: Design and develop data models that support business processes, analytics and reporting requirements. Ensure that data models are optimised for performance and scalability. Technology roadmaps: Actively engage with technology providers to understand critical, data relevant … maintain enterprise and domain data models Shape data products, contracts, and interoperability patterns Guide data platform usage (e.g. DWH/EDWH/Fabric/analytics layers) Ensure that integration points adhere to strict data protection standards across multi-geo environments. Implement frameworks for data lineage, data cataloging, and automated observability ...

expanding its Data and Artificial Intelligence capabilities. The Data and AI studio supports the Tax and Legal business in researching, building, and delivering analytics and AI-driven solutions to our clients. The team has grown rapidly over the last three years in both size and breadth of services. We need … initial build through to model maintenance, avoiding performance drift over time.Perform constant tracking of performancesClearly and confidently articulate the value and benefits of delivering analytics projects to clientsWorking closely with Tax and Legal SMEs to build a deep understanding of business/client challenges and in the development of Proof ...

intellectually stimulating environment. The successful candidate will play a key role in designing, building, and maintaining scalable data platforms and pipelines that support advanced analytics and decision-making. The Role As a Data Engineer, you will work closely with technical and non-technical stakeholders to develop reliable, scalable, and high ...

opportunity to join a growing data function with strong visibility across the organisation. You will play a key role in shaping data infrastructure, supporting analytics, and driving better decision-making through high-quality data engineering practices THE COMPANY They are a well-established organisation delivering services across a large ...

Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native ...

experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Knowledge of data governance and data security ...

Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability ...

Understanding of data governance, security, and access control on AWS Experience with CI/CD for data pipelines Nice to have AWS certification (Data Analytics Specialty or Data Engineer Associate) Experience with streaming data (Kinesis, MSK/Kafka) Familiarity with Infrastructure as Code (Terraform/CloudFormation) Experience with orchestration tools ...

deliver 140 million police checks on people, vehicles and property. Senior Data Engineers design and implement complex data flows to connect operational systems with analytics and BI systems. You’ll build and manage data flows, collaborating with the Data Science community and Product Owners to identify strategies and services … Office manage significant public cloud expenditure effectively.Senior Data Engineers design and lead the implementation of complex data flows to connect operational systems, data for analytics and BI systems.As a Senior Data Engineer, you will identify, build, modify and manage data flows between complex systems using the appropriate solution.You will ...

deliver 140 million police checks on people, vehicles and property. Senior Data Engineers design and implement complex data flows to connect operational systems with analytics and BI systems. You’ll build and manage data flows, collaborating with the Data Science community and Product Owners to identify strategies and services … Office manage significant public cloud expenditure effectively.Senior Data Engineers design and lead the implementation of complex data flows to connect operational systems, data for analytics and BI systems.As a Senior Data Engineer, you will identify, build, modify and manage data flows between complex systems using the appropriate solution.You will ...

deliver 140 million police checks on people, vehicles and property. Senior Data Engineers design and implement complex data flows to connect operational systems with analytics and BI systems. You’ll build and manage data flows, collaborating with the Data Science community and Product Owners to identify strategies and services … Office manage significant public cloud expenditure effectively.Senior Data Engineers design and lead the implementation of complex data flows to connect operational systems, data for analytics and BI systems.As a Senior Data Engineer, you will identify, build, modify and manage data flows between complex systems using the appropriate solution.You will ...

this role offers significant exposure across the business and the opportunity to make a tangible impact on organisational performance. Key Responsibilities: Commercial Reporting and Analytics Support the development, maintenance, and enhancement of Power BI dashboards and reports Produce and analyse commercial performance reporting covering: Leads, Quotes, Opportunities, Revenue, Invoice performance ...

maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write secure, high-quality production code, and review and debug code written by others. ...

product teams, and engineers, the Tech Lead will translate complex business requirements into scalable, high-performance data solutions that support critical business operations and analytics capabilities. This role requires deep hands-on expertise in Azure Databricks, Structured Streaming, Delta Live Tables (DLT), PySpark, Python, and SQL, alongside strong stakeholder management ...

Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native ...

Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native ...

risk within the organisation, leveraging data to highlight areas for improvement and efficiency.Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains ...

maintain robust, scalable, and reliable ETL/ELT data pipelines . Develop data models and schemas in our data warehouse to support business analytics and reporting needs. Integrate data from a variety of sources, including third-party APIs, internal databases, and streaming platforms. Implement processes and systems to monitor data ...

maintain Azure-based data pipelines and ETL solutions. Work with Azure Data Factory, Databricks, Synapse, and Data Lake to support data integration, migration, and analytics requirements. Collaborate with stakeholders to understand business needs, troubleshoot data issues, and ensure secure, scalable, and reliable data solutions. Your responsibilities Design, develop and implement ...

tools such as Azure DevOps or Jira. Professional certifications in Business Analysis, Project Management, or Microsoft Dynamics 365. Working knowledge of reporting and analytics tools such as Power BI and SQL. Key Attributes Highly organised, with the ability to manage multiple priorities in a dynamic environment. Pragmatic and outcomes‐focused ...