2,576 to 2,600 of 8,578 SQL Jobs

support scalable data pipelines powering Moody’s next-generation digital content platform. You will develop data workflows using Databricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS to turn diverse data sources into reliable analytics. You will collaborate with cross-functional teams and mentor peers to improve data quality ...

data right first time in our source systems to ensure data quality. Heal - finding & fixing data errors in our systems after they occur with SQL data quality validation rules and Power BI dashboards to track quality levels and drive remediation efforts. Prevent working with Operations and IT teams, to implement … core policy administration system). This role will be focused primarily on the Prevent work stream. What you ll be doing Data Analysis & SQL Proficiency Demonstrate advanced SQL coding skills to interrogate diverse databases, enabling the identification and analysis of root causes of data quality issues. Ability to extract, join ...

requirements into scalable, cost-efficient data products. The role requires 6+ years in data/analytics engineering, 4+ years on Databricks, and strong Spark, SQL, Python skills. You will integrate Salesforce, Power BI, Snowflake, and Fabric, while advancing CI/CD, governance, and #J-18808-Ljbffr ...

development, production troubleshooting, and collaboration with analysts and engineers to raise data quality. The ideal candidate has 6+ years in data engineering, strong SQL, Python/PySpark, and experience with Databricks and Azure, with a passion #J-18808-Ljbffr ...

website and campaign performance data to identify trends and provide actionable insights. Clean, interrogate and analyse customer data to support business decision-making. Use SQL and Python to extract, manipulate and analyse large datasets. Support reporting and analytical deliverables across a range of client projects. Present insights and recommendations … maintaining dashboards and reports in Looker Studio. Proven ability to interpret paid media, digital marketing and website performance data. Practical capability using Python and SQL for data analysis and reporting. Experience cleaning, validating and analysing customer data to generate business insight. Exposure to CRM datasets and customer analytics projects. Strong ...

make data-driven decisions shaping the company’s future. Key responsibilities include ETL/ELT pipeline development, data modelling, and data quality monitoring. Strong SQL, Python and AWS experience, plus CI/CD and Docker, are required to thrive in our #J-18808-Ljbffr ...

will drive platform stability and work with engineering, operations, security and business stakeholders to ensure governance and continuous improvement. Key technical skills include SQL, ETL, Power BI, Tableau and data modelling. #J-18808-Ljbffr ...

support the data warehouse • Manage code, version and release control BI Developers must have: • Comp Sci degree or similar experience • Tableau or Power BI • SQL Server 2016 or above • T-SQL • Stored Procedures The Culture of the firm is startup esc with a flat team structure and a great group ...

business units. Youll work onsite in London to deliver high‐quality reporting and dashboards using Power BI within the Microsoft Fabric environment, alongside T‐SQL, Python and advanced Excel. This role improves visibility of performance, utilisation and compliance while communicating with both technical and non‐technical stakeholders. #J-18808-Ljbffr ...

build high-fidelity data pipelines aligned with semantic models. The ideal candidate will have 5–8 years of experience in data engineering, strong SQL and Python skills, and familiarity with cloud platforms like AWS, Azure, or GCP. This role offers a hybrid working model, high autonomy, and significant responsibility ...

data modelling Ability to design data pipelines and optimize transformations in cloud data warehouse solutions Advanced Python skills for scripting, automation and validation Advanced SQL skills Transportation and Logistics knowledge preferred In lieu of a degree, candidates with 12+ years of experience may be considered if they have extensive … audiences. Proficient in advanced data modeling, dashboard design, and maintaining data quality across complex datasets. Highest-signal resume keywords Advanced Microsoft Excel Skills Advanced SQL Skills Advanced Python Skills Data Governance Expertise Experience Presenting to Director and Above Audiences ATS Optimization Keywords Hard Skills Data Modeling Dashboard Design Data Pipeline ...

agent infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft … experience Experience 3–5 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

Python Enterprise Developer) to lead the design and optimization of scalable data pipelines. The role requires 8+ years of Python scripting experience, proficiency with SQL databases like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy ...

engage across the business, influence senior stakeholders and design data models that support better services and outcomes.The organisation currently operates an on-premises SQL environment with Tableau reporting. As part of its transformation journey, it plans to move towards Microsoft Fabric and Databricks.What you'll be doing·Defining and evolving … with Data, Analytics, Infrastructure, Architecture and Security teams.What we're looking for·Proven experience as a Data Architect with strong data modelling expertise.·Strong SQL Server and data architecture experience.·Experience working within Tableau reporting environments.·Experience with Microsoft Fabric, Databricks or similar modern cloud data platforms would be advantageous. ...

development, enhancement, and release of platform features using a broad range of technologies including but not limited to; Python, web frameworks, SQL, and React. You will ensure the reliability of internal applications, contribute to the availability and monitoring of automated workloads, and help deliver robust data and application services … engineering, data engineering, and applied investment systems knowledge. What you’ll be doing Building, enhancing, and maintaining internal applications to support Investment workflows, using SQL, Python, modern web frameworks and JavaScript/React. Delivering features end‐to‐end, including development, testing, release, and maintenance. Implementing high‐quality engineering practices including ...

development, enhancement, and release of platform features using a broad range of technologies including but not limited to; Python, web frameworks, SQL, and React. You will ensure the reliability of internal applications, contribute to the availability and monitoring of automated workloads, and help deliver robust data and application services … engineering, data engineering, and applied investment systems knowledge. What you’ll be doing Building, enhancing, and maintaining internal applications to support Investment workflows, using SQL, Python, modern web frameworks and JavaScript/React. Delivering features end‐to‐end, including development, testing, release, and maintenance. Implementing high‐quality engineering practices including ...

React, Angular or Vue.js . Strong back-end development experience with Node.js, .NET or Java . Experience designing and consuming RESTful APIs. Strong SQL and relational database experience. Good understanding of software development principles and best practices. Experience working within Agile development teams. Strong problem-solving and communication skills. Desirable … Skills AWS, Azure or GCP experience. Docker and containerisation. CI/CD pipelines. Git and modern version-control practices. PostgreSQL, SQL Server or MongoDB. Microservices architecture. Automated testing and TDD. Experience working with SaaS or B2B products. Exposure to AI/GenAI technologies. What's on Offer ...

unclear business questions into practical analytical solutions Creating and developing dashboards, management information and reporting using Power BI and other BI platforms Using SQL to investigate datasets, identify trends, answer questions and uncover areas requiring further investigation Bringing together information from different systems and databases to create a clearer picture … what they need, and you'll have the analytical ability to turn those conversations into something useful. Youll ideally have: Strong commercial experience using SQL to investigate and manipulate data Experience working with relational databases and extracting information from multiple sources A background in BI, reporting, data analysis or business ...

infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes … Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes … Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with ...

with Docker, Kubernetes, or containerized application deployments. Experience with infrastructure as code tools such as Terraform, Bicep, ARM templates, Ansible, or similar. Experience with SQL Server, PostgreSQL, or other relational databases. Experience with monitoring tools such as Azure Monitor, Application Insights, Grafana, Prometheus, Datadog, or similar. Experience supporting change control … incident management, and audit-ready documentation. Technical Skills Preferred experience with: Python, PowerShell, Bash, Go, JavaScript, C#, or SQL REST APIs and backend service automation GitHub Actions, Azure DevOps, Jenkins, or similar CI/CD tools Azure App Services, Azure Functions, virtual machines, storage, networking, and monitoring Docker and Linux ...

team. We are looking for candidates with strong Python development experience, alongside hands-on Collibra metadata management expertise. Experience in data modelling, governance, APIs, SQL and financial services would be particularly relevant. You will work closely with data governance, architecture, technology, risk and compliance teams, turning complex regulatory and metadata … govern large-scale financial and risk data sets, with attention to performance, data integrity and regulatory control requirements. Work with APIs, JSON, YAML and SQL, using AI-assisted coding tools responsible to improve delivery, reviewing all outputs for security, compliance and maintainability. Required Skills and Experience Strong Python development skills ...

still expected to hold your own with business and technical stakeholders day to day. RESPONSIBILITIES Analyse large, complex, multi-source datasets in SQL and turn the results into clear, usable findings. Build and maintain dashboards and data visualisations in Tableau or Power BI that business and technical teams actually use. … making. Work directly with business and technical stakeholders, translating between the two and keeping the analysis grounded in what they need. ESSENTIAL SKILLS Strong SQL and hands-on experience analysing large-scale data across complex, multi-source datasets. Experience with AWS data services, particularly S3, DynamoDB and Athena. Dashboarding ...

preparation and transformation for analysis. * Collaborating closely with cross-functional teams to understand their analytical needs and translate these requirements into practical solutions. * Utilising SQL and Data Warehouse experience to extract, transform, and load data from diverse sources into unified reporting structures. * Leveraging Python skills where possible to automate workflows … required to meet stakeholder needs effectively. * Demonstrated ability in manipulating large datasets using advanced techniques ensures accurate analysis and reporting. * Familiarity with SQL and Data Warehouse concepts enables efficient extraction, transformation, and loading of data from multiple sources. * Strong background in creating visually engaging data presentations helps communicate findings clearly ...

still expected to hold your own with business and technical stakeholders day to day. RESPONSIBILITIES Analyse large, complex, multi-source datasets in SQL and turn the results into clear, usable findings. Build and maintain dashboards and data visualisations in Tableau or Power BI that business and technical teams actually use. … making. Work directly with business and technical stakeholders, translating between the two and keeping the analysis grounded in what they need. ESSENTIAL SKILLS Strong SQL and hands-on experience analysing large-scale data across complex, multi-source datasets. Experience with AWS data services, particularly S3, DynamoDB and Athena. Dashboarding ...