1 to 25 of 43 SQL Jobs in Leeds

data warehouses and/or data lakes. Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, or Google Cloud Platform. Proficiency in SQL and languages such as R or Python, including relevant frameworks. Strong stakeholder management skills with the ability to advise upon complex client requirements. Mentoring ...

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 ...

ensure user-centred, automated infrastructure is developed based on business requirements and best practices. Support and enhance data solutions built on Microsoft Fabric, SQL, Azure Data Factory, and SSIS.Monitor, troubleshoot, and proactively resolve data pipeline issues across multiple client environments. Design and implement robust CI/CD practices for data … deployment. Skills and experience that you needEssential Experience Proven experience as a Data Engineer supporting production data pipelines and platforms. Strong knowledge of T-SQL and SQL Server with experience in performance tuning and query optimisation. Experience with scripting languages such as Python for automation. Hands-on experience with Microsoft ...

workshops. Skills and experience that you needEssential ExperienceExcellent experience delivering in Python and experience with at least one other core language. Strong expertise in SQL and relational databases. Solid experience with Cloud providers such as AWS, Azure or GCP. Solid experience working with Snowflake and dbt. Strong experience working with ...

conferences. Skills and experience that you needEssential ExperienceExcellent experience delivering in Python and experience with at least one other core language. Excellent experience of SQL and relational databases. Solid experience of Cloud providers such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience ...

Technical Know-How • Strong analytical and problem-solving skills. • Proficiency in data visualisation tools such as Power BI, Tableau, or similar platforms, alongside strong SQL skills. • Familiarity with enterprise data systems, analytics platforms, and cloud technologies is desirable. • Ability to communicate analytical findings to non-technical audiences. • Experience working with ...

create applications through Python with connected databases, practising TDD and OOP Tools and technologies learned: Apprentices learn to use Python, Linux, Google Cloud, Microsoft SQL Azure and AWS. 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. Apprenticeship Standard DevOps engineer (level ...

experience in Python, with either Typescript or React and TerraformExperience across the full software development lifecycleAbility to code within projectsExperience in Databases, including MongoDB, SQL or Document DatabaseExperience in Unit TestingExperience in Model-View-ControllerPrevious involvement in developing and delivering major IT solutions An understanding of agile tools and techniquesExcellent ...

data models and visualisations for complex organisational challenges. Deep experience working with enterprise-level data warehouses and cloud platforms (AWS, Azure, Snowflake).Mastery of SQL and advanced proficiency in Python or R for data science applications. Exceptional stakeholder management skills with the ability to influence and advise at a strategic ...

telemetry supports downstream analytics and data modelling. Ability to translate ambiguous stakeholder questions into structured data requirements and practical telemetry designs. Familiarity with SQL and working with large-scale datasets to investigate, validate, or interpret behavioural data. Excellent written communication skills, with the ability to create clear specifications, documentation ...

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 ...

outcomes. Experience working within governance and control frameworks. Advanced skills in Power BI (including DAX), Power Apps, Power Automate, SharePoint and Excel. Knowledge of SQL, SAP ERP/S4 HANA/BW, Microsoft BI technologies (SSRS, SSIS, SSAS) or wider Microsoft 365 technologies would be advantageous. A proactive, innovative mindset ...

across a team/business area in accordance with agreed organisational standards that ensure services are resilient, scalable and future proof. Advanced experience using SQL, Python, (in a Spark context) to interrogate, transform, analyse and troubleshoot complex datasets, with knowledge of Oracle Fusion reporting technologies, including FDI/AIDP ...

value through machine learning and advanced analytics. You’ll also have: A strong statistical or highly numerate academic background Advanced skills in Python and SQL Experience developing, deploying and maintaining predictive and machine learning models in production environments Experience leading and mentoring Data Scientists within a high-performing team Strong ...

/Typescript 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 ...

APIs that scale well. Event driven architectures (Kafka) Modern reactive JavaScript Frameworks (React, Next.js, Vue.js, Angular) Advanced web topologies (Headless, Jamstack) Storage technologies like SQL, Redis and SOLR Automated UI and API testing (BDD, Selenium) Cloud technologies (Azure/AWS/GCP) Containerised environments using Kubernetes, Docker and CI/ ...

7+ years of hands-on software development experience, operating at Senior Engineer or Technical Lead level Strong commercial experience with .NET Core, C#, and SQL Proven ability to design and reason about distributed systems and modern application architectures Comfortable working in Agile/squad-based environments, influencing delivery without formal ...

ecosystem Python NodeJS 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 CI/CD pipelines using ...

Skills & Experience You will have: Strong commercial experience in product analytics within a digital business, marketplace, subscription platform, SaaS organisation, or similar environment. Advanced SQL skills and the ability to independently manage end-to-end analytical projects. Experience with product analytics and event tracking platforms such as Amplitude, Mixpanel, Segment ...

within a large and complex organisation. Demonstrable expertise in geospatial analytics and the application of location intelligence to business challenges. Strong technical knowledge of SQL, Python and modern cloud-based data platforms, including Databricks. Experience developing and deploying analytical solutions using advanced statistical and data science techniques. Significant experience working ...

develop within a growing technical support function. Experience supporting SaaS products or working within a scale-up environment would be beneficial. Exposure to SQL and support desk platforms would be advantageous such as Fresh Desk or Jira. What’s in It for You: 25 days’ annual leave + bank holiday ...

Step Functions, Athena, Glue, DynamoDB, OpenSearch, CloudFormation, API Gateway, ECS, CloudWatch. Technical Environment: Core Java, Spring Boot, AWS Cloud Services, AngularJS , Jenkins, NodeJS, SQL/NoSQL databases, DynamoDB, GitHub, Backend, Frontend, CI/CD, DevOps, Kotlin, (url removed). Advantageous skills: understanding of DevOps/DevSecOps concepts, Docker, Containerisation + ...

appropriate regulatory and internal policy requirements. What you'll have: You will be highly numerate with a statistical background, with strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components ...

customer focused environment e.g. call centre or retail Some background or evidenced passion for IT (an understanding of software languages and Microsoft SQL would be a distinct advantage) Having a driving license would be preferable, but is not essential Entry requirements: 3 GCSEs (or equivalent) at grades 4+ ...

data warehouse, transforming raw and curated data into trusted, well-documented datasets for business and analytical use Implementing complex data models and transformations using SQL and dbt , with a strong understanding of how upstream transformations feed downstream analytical use cases Working with existing enterprise data models and dimensional structures, confidently … with enough data engineering experience to work confidently across the full data lifecycle. Essential experience Strong experience building and maintaining analytics pipelines using SQL-first transformation patterns, ideally with dbt Solid understanding of data warehousing concepts, including how dimensional and analytical models are used downstream, without requiring deep ownership ...