1 to 25 of 105 SQL Jobs in the North East

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 ...

Azure and Databricks ecosystem. What you'll need: Strong experience building data pipelines using Azure Data Factory, Databricks and Azure Data Lake. Advanced SQL and Python (PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing ...

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 ...

cloud-based data platforms. Expertise with one or more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge ...

adoption of modern engineering practices and emerging technologies Requirements experience in Data Engineering or a related field Strong programming skills in Python and SQL Experience building scalable data-intensive systems and pipelines Understanding of modern software engineering best practices Excellent communication and collaboration skills Strong analytical and problem-solving capabilities ...

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 ...

does both. What you will gain CompTIA Data+ Certification - internationally recognised, employer respected Microsoft Certifications - from an official Microsoft Partner Excel, SQL, Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing ...

Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network ...

Extended Warehouse Management (EWM).Strong expertise in data extraction, transformation, cleansing, reconciliation, validation, and migration execution.Experience with SAP BODS, BDC, ETL tools, SQL, NoSQL databases, and business intelligence platforms.Strong knowledge of data governance, data quality frameworks, profiling techniques, metadata management, and data catalog solutions.Experience developing migration rules, reusable frameworks, automation ...

fast-moving, growing health and/or tech consumer product/service business Degree or equivalent in Data, Tech or numerate discipline Strong SQL skills and confidence working with large datasets - experience with Python or R for data analysis also beneficial Proficient in Excel and at least one BI tool ...

digital businesses generate revenue and profit. Expertise across multiple analytics domains: performance, product, operations, customer, and commercial. Proficiency in analytical tools and languages (e.g., SQL, Python, R) and visualisation tools (Power BI, Tableau). Familiarity with modern cloud data environments (e.g., Snowflake, Databricks). Excellent communicator, able to present complex ...

services like Lambda, Kinesis, and Glue.Databricks & Delta Lake: Hands-on experience with Databricks and Delta Lakehouse architectures.Programming: Proficient in Python, Scala, and SQL for data engineering tasks.ETL Processes: Demonstrated expertise in designing, building, and maintaining ETL processes.Data Modelling: Experience in logical and physical data modelling with large datasets.Problem Solving: Strong ...

Fundamentals (DP-900) Microsoft Azure AI Fundamentals (AI-901) Practical, real-world project work designed to help you develop hands-on skills in Excel, SQL, Python and PowerBI Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network ...

Utilize AWS services to build and deploy cloud-based solutions, ensuring high availability and scalability.Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance.Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently.Code Quality: Ensure code quality through code ...

little as a few weeks. Our programme includes: • Official CompTIA Data+ Certification • Official BCS accredited Business Analysis Foundation Certification • Training in Excel, SQL, Python, Power BI, and Tableau • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support Flexible, affordable, achievable To make ...

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 ...

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 ...

Technical Expertise: Proven experience with cloud-based systems and architectures (Azure, AWS, IoT, AI/ML), DevOps practices, CI/CD pipelines, RDBMS (MS SQL, Oracle, PostgreSQL), and integration technologies (APIs, REST, SOAP, webhooks).Proficient in an enterprise language such as: .NET, Java, or C# with strong object-oriented design ...

with Agile (Scrum/Kanban) or Waterfall delivery. Experience delivering change in a number of industry areas, including the public sector. Strong proficiency in SQL for data extraction, transformation and analysis. Ability to independently analyse large datasets to identify trends, validate business requirements, and uncover data quality issues. Familiarity with ...

technology teams Understanding of the opportunities presented by evolving technologies Data Automation Experience with financial data sets Expertise in data extraction and transformation (EG: SQL and/or Power Query) Experience in presenting data analysis and creating reports Experience in Power BI report creation and maintenance Experience in ML-based ...

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 ...

InfoSec Strong technical foundation with hands-on knowledge of the following: Microsoft stack: .NET/C#, containerisation (docker, Kubernetes, AKS), Azure Cloud (Azure SQL, App Insights) Front end technologies (React, Angular and ecosystem) Snowflake, Auth0, Looker, Bitbucket, Atlassian Suite Experience leading distributed and remote teams with strong communication and collaboration ...

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 ...

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 ...

analytical skills.Desirable CriteriaIdeally, the successful candidate will have experience in the use of some or all of the following:Database technologies including MySQL, MS SQL, Azure SQL.Familiarity with and experience working on Windows, Unix and Linux operating systems.Some experience of programming in one of the following languages – Unix/Linux ...