101 to 125 of 287 SQL Jobs in Manchester

high‐impact sole contributor; proactive, accountable, and comfortable deputizing senior leadership. Preferred Custody operations, reconciliations, exceptions management, or middle‐office experience. Data fluency (SQL/BI/Prompt Engineering), KPI/dashboard design, data quality frameworks, and measurement discipline. Familiarity with control environments and change practices relevant to AI‐enabled ...

Advanced Excel modelling and analysis. Data analysis and interpretation to support technical and commercial decision-making. Power BI or equivalent data visualisation platforms. Python, SQL, or similar tools for data processing, automation, and model development. Version control and development/application of code quality practices, including GitHub and testing frameworks. ...

environment## **DESIRABLE*** Familiarity using Infrastructure as Code tools such as Terraform* Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres* Familiarity with web standards, accessibility, and development best practice## **Bonus:*** Building microservices in C#* Experience building solutions that integrate with LLMs ...

high-impact sole contributor; proactive, accountable, and comfortable deputizing senior leadership. Preferred Custody operations, reconciliations, exceptions management, or middle-office experience. Data fluency (SQL/BI/Prompt Engineering), KPI/dashboard design, data quality frameworks, and measurement discipline. Familiarity with control environments and change practices relevant to AI-enabled ...

data and reporting requirements. Demonstrate an understanding of enterprise data concepts, including data quality, data lineage, master data, reference data and business rules. Use SQL to interrogate, analyse and validate data in support of business analysis, requirements gathering and issue investigation. Analyse datasets to identify trends, anomalies, data quality issues … data and reporting requirements. Demonstrate an understanding of enterprise data concepts, including data quality, data lineage, master data, reference data and business rules. Use SQL to interrogate, analyse and validate data in support of business analysis, requirements gathering and issue investigation. Analyse datasets to identify trends, anomalies, data quality issues ...

looking for a Developer with strong Microsoft .NET and SQL Server skills to join our development team. The successful candidate will be responsible for developing, maintaining, and supporting business applications, integrations, and reporting solutions. The role requires a strong foundation in software development and database technologies, with opportunities to work … enhancements and new development projects Produce and maintain technical documentation Database Development Create and optimise stored procedures, views, functions, and queries. Investigate and resolve SQL data-related issues. Support data migration and integration activities. Ensure data quality, performance, and security standards are maintained Reporting & Analytics Support operational reporting requirements ...

Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark … data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2 ...

develop a small team of Data Engineers. Key responsibilities Own the reliability, security and ongoing development of the data platform. Modernise the existing SQL Server, SSIS/SSDT and Power BI environment. Develop scalable batch and real-time data-processing solutions. Lead the design of a Customer Data Platform. Build … using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing ...

Amazon Neptune). Understanding of stable identifiers, named graphs, provenance, and relevant standards such as SKOS, PROV-O, and JSON-LD. Strong Python and SQL skills, experience building APIs with FastAPI or similar frameworks, and knowledge of schema validation and automated testing. Ability to integrate services with application data ...

brands. You will work closely with the Senior Data Engineer to deliver a reliable, well-structured customer data layer. The role emphasises Python and SQL proficiency, collaboration within a small team, and helping with data quality checks and queries to support analytics teams. #J-18808-Ljbffr ...

artificial intelligence concepts, large language models (LLMs), or data analytics infrastructure. Data Fluency: Ability to interpret data trends, run basic data queries (e.g., SQL, Excel), and build clear reporting frameworks. Product Adaptation: Highly capable of mastering a rapidly evolving, technical product ecosystem. Knowledge of CRM Software & CS Platform Soft Skills ...

software development required; experience in the securities or financial services industry is a plusPrior experience using a specific application development toolkit, including Python, SQL, Java, JavaScript, JSON, and TypeScriptStrong communication, organization, teamwork, and interpersonal skills, including the ability to support mentoringDemonstrated understanding of interdependencies and business impact of future ...

wider Spring ecosystem Spring Data JPA/Hibernate Spring Security including OAuth2 and JWT REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms (AWS, Azure ...

with policies and structuring an enterprise’s resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity Center, Cloud SQL, Identity and Access Management (IAM) and VPC Service Controls Experience writing clean, modular Terraform code Experience with service-oriented architecture using containers, distributed systems ...

Moody's is hiring a Senior Data Specialist in Manchester, UK, to enhance data quality and operations across multiple sources. You will work with SQL, Python, and ETL processes to enable scalable data delivery and actionable insights. The role focuses on data architecture, governance, and collaboration with Sales, Product ...

organisation. The role emphasizes stakeholder management, delivery excellence and the adoption of modern data platforms such as Power BI and Microsoft Fabric, with strong SQL skills, data governance and an ability to partner with leadership. #J-18808-Ljbffr ...

roadmap with robust CI/CD and deployment practices. You will operate across Linux environments, cloud platforms (AWS), containers (Docker/Kubernetes) and databases (SQL, Elasticsearch, MongoDB), while communicating effectively with teams and customers. #J-18808-Ljbffr ...

researchers to build tracking, metrics, and experimentation that guide product decisions. The role emphasizes leadership, cross-functional collaboration, and a strong foundation in SQL/Python, with a hybrid working model requiring three in-office days per week and remote periods across the #J-18808-Ljbffr ...

Manchester. You will work in a cross-functional squad, shaping architecture and delivering scalable services and APIs using C#/.NET Core, Mongo/SQL, and modern JS frameworks. The role emphasizes collaboration, mentoring, and a strong focus on CI/CD, TDD, and cloud-native development on AWS. Hybrid ...

Containerisation & Orchestration using Docker and Kubernetes. CI/CD & DevOps using Git, Jenkins/GitHub Actions, and automated deployment pipelines. Database & Engineering Practices including SQL/NoSQL databases, automated testing, and Agile delivery. Stakeholder engagement and management Good communication skills If you are available and have the above experience, APPLY ...

Containerisation & Orchestration using Docker and Kubernetes. CI/CD & DevOps using Git, Jenkins/GitHub Actions, and automated deployment pipelines. Database & Engineering Practices including SQL/NoSQL databases, automated testing, and Agile delivery. Stakeholder engagement and management Good communication skills If you are available and have the above experience, APPLY ...

Containerisation & Orchestration using Docker and Kubernetes. CI/CD & DevOps using Git, Jenkins/GitHub Actions, and automated deployment pipelines. Database & Engineering Practices including SQL/NoSQL databases, automated testing, and Agile delivery. Stakeholder engagement and management Good communication skills If you are available and have the above experience, APPLY ...

machine learning models. Engage with senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud ...

machine learning models. Engage with senior stakeholders and contribute to business development initiatives. Provide thought leadership through industry engagement and innovation. Requirements Strong Python, SQL, Pandas, Scikit-Learn and Spark experience. Experience delivering real-world AI and machine learning systems. Understanding of statistics and machine learning methodologies. Experience with cloud ...

interest in data science, statistical modelling and using data to solve problems. Some experience with programming languages or analytical tools, such as Python, SQL, SAS or PySpark, gained through university projects, placements, internships or employment. An understanding of statistical concepts and an interest in predictive modelling or machine learning. Strong ...