1 to 25 of 85 SQL Jobs in Dorset

Install and Support Custom Software in Windows Server environments. Manage and troubleshoot on IIS web servers, including application deployments and configurations. Implement and maintain SQL Server databases, including performance tuning, backups, and recovery. Develop and optimize SQL queries and stored procedures. Work with Azure SQL databases, including deployment, management, and … preferred. 5+ years of experience administering Windows Server environments. 5+ years of experience managing and troubleshooting IIS web servers. 5+ years of experience with SQL Server database administration, including writing complex SQL queries and stored procedures. Experience with Azure SQL Database, including deployment, management, and performance monitoring. Experience working with … dedicated to creating a safe and welcoming environment for all employees. People from various ethnicities, ages, genders, and abilities are encouraged to apply. Skills: SQL Sql Server Windows Server Azure SQL Benefits: Work From Home More ❯

JavaScript/TypeScript with React, and low latency event driven architectures Experience of a general-purpose scripting language (such as Python, Perl, Ruby) and SQL Experience of Application Lifecycle Management Tools and technologies such as Source Code Management; git, DevSecOps platforms; GitLab, TeamCity Perform meta/code reviews Experience of More ❯

mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.). Ideally have advanced level of SAS or SQL programming - an equivalent level in an alternate programming language would be consider (e.g., R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data More ❯

other financial regulations affecting data. Analytics and Reporting - Experience with BI tools such as Tableau, Power BI, or Looker, as well as knowledge of SQL and Python for data analysis. Soft Skills Strategic Thinking - Ability to translate complex data challenges into business value and drive strategic decision-making. Stakeholder Management More ❯

data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. Have obtained experience in working with large, complex datasets and performance optimization. Exhibit strong leadership and communication skills. Demonstrate previous experience More ❯

tools and technologies and evolve their learning of the discipline. Analytical abilities, including the ability to translate and communicate technical requirements. Knowledge of a SQL based database technology. Agile development familiarity Eligibility to work in the UK is required. Please note that successful applicants will be based in the office More ❯

AWS, Azure, Google Cloud) and cloud-native architectures. Experience with APIs, microservices, containerization (Docker, Kubernetes), and modern software development practices. Knowledge of database technologies (SQL, NoSQL) and data management best practices. Familiarity with DevOps practices, CI/CD pipelines, and automation tools. Soft Skills: Excellent communication skills, with the ability More ❯

interface technologies and languages, e.g. ReactJs , AngularJs , Typescript , JavaScript , CSS , and HTML5 Experience with user interface testing technologies, e.g. Selenium and Cypress Proficient with SQL and querying relational databases Experience with using Terraform to provision and configure infrastructure Experience with deploying and maintaining production workloads on the AWS public cloud More ❯

environments beneficial, including CIM, CNAIM, RIGs data experience. Understanding of business data and its various sources including but not limited to structured data within SQL Server, SAP S4/Hana, Oracle, MongoDB, PostgreSQL and unstructured data within multiple EDRMS and Content Management Systems. Understanding of streaming data technologies and methodologies. More ❯

order to understand, translate, review and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript or Python Experience communicating unambiguously through multiple channels such as Presentations, Word Documents, workshops and meetings. Desirable Knowledge of Programming Language Design and Implementation. More ❯

such as Kafka, Flink, Databricks. Skilled in managing distributed computing management systems, like SLURM, LSF. Knowledgeable in both relational and non-relational databases (e.g., SQL, MongoDB). Familiarity with cloud platforms (AWS, Azure). Strong analytical and troubleshooting skills, with the ability to optimize complex data processing workflows. Excellent interpersonal More ❯

architectural decisions. Essential Criteria: Proven experience in a similar Data Engineering role. Strong expertise in either AWS or Azure cloud platforms. Proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Snowflake). Experience with data warehousing, data lakes, and real-time streaming solutions. Excellent communication and problem More ❯

certification in Data Engineering concepts with advanced proficiency. Self-motivated and capable of managing deliverables independently. Experience across the entire data lifecycle. Expertise in SQL, including joins and aggregations. Understanding of Cloud platforms such as AWS. Ability to collaborate with stakeholders to develop clear business requirements. Experience with Big Data More ❯

role. Proficiency in ESRI GIS Software , Power BI, FME. Familiarity and demonstrated use of languages such as Python or R. Familiarity with Power Apps, SQL and and database principles. Additional Skills : Strong analytical and problem-solving skills. Excellent verbal and written communication skills. Willingness to provide technical coaching and mentoring. More ❯

Tomcat, TC Server, VertX, Spring, GIT/Stash, Sonar, etc. Experience in developing event-driven applications using technologies like Kafka and MQ. Proficiency in SQL and an understanding of other database technologies such as NoSQL, Oracle, MongoDB, etc. Experience with containerization technologies and orchestration tools, including Docker and Kubernetes. Experience More ❯

consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Ability to closely with other engineering teams to integrate data engineering component into production systems. Knowledge of data cleaning, wrangling, visualization and reporting More ❯

of datasets and influence architecture decisions with a forward-thinking approach. A successful Data Engineer will have: Strong experience working with AWS Proficiency in SQL and a programming language such as Python or Scala. Background in building and maintaining modern data architectures, including batch and real-time data processing. Understanding More ❯

high quality, robust code Experience in designing and developing micro services in one or more cloud computing services (AWS, Azure, GCP, etc) Experience with SQL databases Demonstrated willingness to learn new technologies Knowledge of message queues (SQS, Kafka, etc.) and asynchronous processing patterns Nice to Haves: Understanding of Agile or More ❯

Logging: Experience with monitoring and logging tools like DataDog, Prometheus, or Grafana Data Engineering Skills: Knowledge of event streaming platforms (e.g., Apache Kafka) and SQL database management Strong Communication and Collaboration: Excellent communication skills and the ability to work effectively in a remote, collaborative environment Nice to Haves: Experience with More ❯

the organisations technical strategy ensuring that the teams work aligns with the companys goals Requirements Proven ability to lead software engineering teams Proficiency in SQL and programming languages such as Python, Java or Scala Expertise leading teams and delivering in cloud data platforms (GCP, AWS) Familiarity with data modelling, warehousing More ❯

Platform, particularly Power Automate, Power Apps, and Power BI. Proficiency in using Dynamics 365 tools: business rules, workflows, forms, Power Automate, dashboards. Knowledge of SQL and database management. Excellent problem-solving and attention to detail. Strong communication skills with the ability to engage both technical teams and non-technical stakeholders More ❯

both Windows and Linux operating systems. Hands-on experience working with vitalisation platforms (e.g., VMware, Hyper-V). Familiarity with databases such as MS SQL, including querying and basic data manipulation. Exposure to Active Directory, firewalls, and security best practices. Personal Qualities Strong problem-solving skills and the ability to More ❯

Excellent communication and interpersonal skills Education and Experience Should have 3-5 years of experience as Data Quality Engineer or Data Analyst Proficiency in SQL and Python Experience with modern data testing frameworks (dbt, Great Expectations) Proficiency in writing and maintaining dbt tests for data transformations Experience in CI/ More ❯

7+ years in data roles, with expertise in Microsoft (Azure) technologies. Leadership: Experience leading technical teams in data-intensive systems. Technical Skills: Proficient in SQL, distributed data stores, and data processing frameworks. Certifications: Azure/Databricks certifications are desirable. Career Development Training: Structured career development and training plans, with incentives More ❯

real-time and batch data pipelines.' • Experience with Azure cloud platform, and security concepts i.e. Keyvault, ACL's and RBACs' • Proficiency in Python, Java, SQL, or similar languages.' • Experience with big data processing frameworks and modern data architectures.' • Strong knowledge of relational and NoSQL databases.' • Excellent communication skills, both written More ❯