1 to 25 of 74 SQL Jobs in Newcastle upon Tyne

point of escalation for decisions that impact your area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake ...

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures ...

development best practices and software development lifecycle. Experience with UiPath Studio, Orchestrator and REFramework. Knowledge of API integrations and web services. Experience working with SQL databases. Strong debugging and problem-solving skills. Excellent communication and stakeholder engagement skills. Experience working within Agile delivery environments. Desirable UiPath Advanced Developer Certification. Experience ...

equivalent enterprise architecture frameworks - Awareness of relevant industry data, interoperability and messaging standards - Familiarity with data modelling and architecture tools and repositories - Familiarity with SQL and data serialisation or interface formats - Data management or architecture certification, such as CDMP, DCAM or TOGAF - Cloud platform architecture certification, with a data specialism ...

lakehouses and data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured, semi-structured and unstructured data sources. Migration … modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/ ...

platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation techniques. Advanced SQL and relational databases including SQL Server, PostgreSQL and Oracle. Integrating structured, semi-structured and unstructured data sources. Migration … modernisation of legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/ ...

Nexus (AWS stack), including prompt and context design, embeddings, retrieval-augmented generation, knowledge bases, and agent or tool behaviours. Write production-quality Python and SQL, and work with engineers to integrate successful solutions into scalable AWS services, data pipelines, and APIs. Apply MLOps and LLMOps practices, including version control, automated ...

from beginner to job-ready professional with a job guarantee or 100% of course fees refunded. The Training: 8 modules: Excel, SQL, Python, Tableau, Power BI, Azure AI Fundamentals, AI Business Professional, and Microsoft 365 Copilot & Agent Administration 4 Microsoft certifications ...

ensure they remain accurate and useful. Some of the requirements: Commercial experience in a Data Analyst, Business Intelligence or similar analytics role. Strong SQL skills and confidence working directly with data. Experience building dashboards and reports using a BI or analytics platform. Strong analytical skills with the ability to turn ...

relevant discipline (or equivalent practical experience) Proven experience with modern frameworks such as React, Vue, Laravel, or similar Strong understanding of databases and SQL Experience with version control (Git) and collaborative development workflows Solid understanding of RESTful APIs and microservices architecture Familiarity with cloud platforms (Azure, AWS, or Google Cloud ...

experience in digital performance analysis and data visualisation. Proven ability to create dashboards using tools such as Power BI, Tableau or similar . Strong SQL skills and experience working with large datasets. Experience working in Agile delivery environments. Excellent stakeholder engagement and communication skills. Experience with Google Analytics, Adobe Analytics ...

practices. Candidate Requirements Applications are welcomed from candidates across a range of experience levels. Strong experience designing, developing, and maintaining data pipelines. Proficiency in SQL, Python, AWS, and other modern data engineering technologies. Experience with version control tools (e.g., Git) and workflow orchestration platforms (e.g., Airflow). Proven ability ...

knowledge of UiPath Studio, Orchestrator and RE Framework. Strong VB.NET or C# development skills. Experience integrating UiPath solutions with REST/SOAP APIs and SQL databases. Experience producing SDDs and taking ownership of technical solution design. Experience leading code reviews and mentoring other developers. Strong stakeholder management and client-facing ...

technologies and methodologies. What makes a great candidate All levels of experience will be considered Expertise in designing and building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data ...

pipelines, automated testing, and cloud-native application development, including containerisation technologies such as Docker and Kubernetes Object-oriented programming principles and software design patterns SQL and NoSQL database technologies, including MySQL, Oracle, PostgreSQL, and MongoDB Agile delivery methodologies and Scrum frameworks Software engineering best practices, including code reviews, version control ...

Framework or comparable JVM backend frameworks; Pekko or Akka experience is highly relevant. Strong understanding of relational databases, especially MySQL, with practical knowledge of SQL optimization, indexes, query profiling, and transaction behaviour. Experience using Redis or similar technologies for caching, session handling, or performance-sensitive workloads. Deep understanding ...

platform-based systems Proven ability to design, implement and maintain automated testing for data pipelines and applications Strong coding skills in Python and SQL , with working knowledge of Java and scripting languages such as Bash Experience analysing and validating complex datasets in multiple formats Solid understanding of CI/ ...

engineers and promoting engineering best practices Skills & Experience: Understanding of data processing using Apache Spark and Apache Airflow for task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data ...

Defence customers to solve complex problems. Essential Skills & Experience Strong programming skills in C#/.NET, Java or Python. Experience developing production web applications. SQL databases, web frameworks and RESTful APIs. Front-end development using React and TypeScript. Cloud experience with Azure and/or AWS. Strong software engineering fundamentals ...

Experience with Spring Framework and Spring Boot Experience developing RESTful APIs and microservices Experience with object‐oriented programming principles and design patterns Experience with SQL and NoSQL databases including MySQL, Oracle, PostgreSQL, and MongoDB Experience with Python and Shell scripting Experience working within Agile/Scrum delivery environments Experience mentoring ...

services. Technical Leadership: Oversee data modelling, data governance, and data quality frameworks while driving technical excellence. Strong hands-on experience in technologies such as SQL, Python, Spark, and modern cloud data services. Collaborate with engineering and DevOps teams to establish CI/CD architectures using Azure DevOps, Kubernetes, and Terraform. … expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non-distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks (Azure DevOps, GitHub Actions, Jenkins) with real-world platform lifecycle management. Infrastructure-as-Code expertise (Terraform ...

Framework or comparable JVM backend frameworks; Pekko or Akka experience is highly relevant. Strong understanding of relational databases, especially MySQL, with practical knowledge of SQL optimization, indexes, query profiling, and transaction behaviour. Experience using Redis or similar technologies for caching, session handling, or performance-sensitive workloads. Deep understanding ...

Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines Understanding of Agile delivery fundamentals Experience with databases SQL or NoSQL Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts awareness of orchestration ...

with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many ...