1 to 25 of 734 SQL Jobs in the South East

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

years' experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

responsibilities will include: Understanding Business Needs: Engage with stakeholders to gather and analyze business requirements. Application Design & Development: Design and program applications using Visual C#.NET, interfacing with Oracle and SQL Server databases. Quality Assurance: Conduct unit testing and ensure quality at every stage of development. Support Existing Applications: Provide ongoing support for current C# and .NET applications, ensuring optimal functionality. … Collaboration: Work closely with the IT department to maintain the environments where applications run. Additional Responsibilities: Define necessary database objects and liaise with SQL and Oracle Database Administrators in London and New York. Create scripts for T-SQL (SQL Server) and PL/SQL (Oracle) to facilitate data analysis. Support the setup of system distribution methods for Citrix and application … with the latest versions of MS .NET Framework and Visual .NET platforms. Who You Are: Proficient in C# and the .NET framework, with a strong understanding of database management (SQL Server & Oracle). A problem-solver who enjoys tackling challenges and finding innovative solutions. A team player who communicates effectively with both technical and non-technical stakeholders. Willing to provide More ❯

requirements. It would be advantageous if you have some knowledge of MS Azure Modern Data Warehouse Architecture and Agile methodology, in addition to possessing knowledge and experience of writing SQL queries. What is equally important is that you are highly numerate and analytical, with an ability to deliver high standards of work and pay meticulous attention to detail. Your problem More ❯

Unit4 Lead Technical Consultant Permanent | Fully Remote (UK) £65,000 - £80,000 + bonus Key Skills: SQL (T-SQL or PL/SQL) * Unit4 ERP Datasets/Data Dictionary * REST & SOAP Web Services * PowerShell * RERX/ARC/Xtra Reporting About the Role We're seeking a technically focused Unit4 Lead Consultant to take ownership of complex solution design, development … Do Design and build advanced technical solutions across Unit4 ERP, including reports, integrations, and extensions. Translate business and functional requirements into technical specifications and data models. Develop and optimise SQL queries and stored procedures across T-SQL or PL/SQL environments. Build and maintain REST and SOAP APIs , supporting seamless system integrations. Create and convert reports using RERX, ARC … and guide less experienced consultants in coding standards, integration design, and troubleshooting techniques. Technical Skills & Experience In-depth experience with Unit4 ERP technical architecture , datasets, and data dictionaries. Strong SQL development background (T-SQL or PL/SQL). Proven experience working with Unit4 ERP integration routines and interfaces (e.g., GL07, CS15, LG04). Proficiency with web services technologies (REST More ❯

quality, utilizing TDD methodologies to ensure code reliability and maintainability. Security Practices: Knowledgeable in cybersecurity practices, including OAuth, OpenID Connect, and secure coding practices. Advanced Database Knowledge: Proficient in SQL and data modelling. SOLID Principles: Proficient in applying SOLID principles for object-oriented programming, ensuring clean, maintainable, and scalable code. Additional Skills (Good to Have): Programming Language: JAVA Containerization and More ❯

with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways More ❯

approach to modern data engineering. You should have: Proven experience with Azure Databricks and Apache Spark Working knowledge of Apache Kafka and real-time data streaming Strong proficiency in SQL and Python Familiarity with Azure Data Services and CI/CD pipelines in a DevOps environment Solid understanding of data modelling techniques (e.g., Star Schema) Excellent problem-solving skills and More ❯

software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate More ❯

such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions) Managing and querying data lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical More ❯

partner with business teams to deliver data-driven insights for performance or regulatory reporting. Knowledge of MS Azure Modern Data Warehouse Architecture and Agile methodology is advantageous; experience with SQL queries. Strong numeracy and analytical skills, high attention to detail, and excellent communication and problem-solving abilities. What's in it for you Competitive salary around £45,000 dependent on More ❯

partner with business teams to deliver data-driven insights for performance or regulatory reporting. Knowledge of MS Azure Modern Data Warehouse Architecture and Agile methodology is advantageous; experience with SQL queries. Strong numeracy and analytical skills, high attention to detail, and excellent communication and problem-solving abilities. What's in it for you Competitive salary around £45,000 dependent on More ❯

Experience in the financial sector or similar data-sensitive environments. Familiarity with Microsoft Azure and related services (Azure Service Bus, Key Vault, Table Storage, Cognitive Services). Knowledge of SQL (PostgreSQL) including data modelling, performance optimization, and security. Experience with Kafka and event-driven architectures. Exposure to enterprise integration tools such as Informatica, BizTalk, MuleSoft, or TIBCO, with an understanding More ❯

Experience: Expertise in cloud platforms (Azure) and data engineering best practices . Advanced proficiency in Power BI , including DAX, Power Query, and data modeling. Strong programming skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics More ❯

with at least some of the following: API Management, API Gateway, Cognitive Services, Cosmos DB, Azure Service Bus and Azure Kubernetes Service. Containerisation Technology (Docker, Kubernetes, Nginx). Strong SQL Server skillset, including T-SQL. Experience of building solutions incorporating NoSQL Databases such as Redis, MongoDB, AWS DynamoDB, or Azure Cosmos DB. Experience of TDD and Unit Testing Frameworks, such More ❯

is hands-on and collaborative, offering the chance to make tangible impact across data quality, scalability, and reliability. Requirements 5+ years' experience in Data Engineering with strong Python and SQL skills. Background in building and maintaining ETL/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . More ❯

experience in a Data Analyst or similar technical role. Strong hands-on experience with RESTful API design , documentation (Swagger/OpenAPI), and testing tools (e.g. Postman). Proficiency in SQL and scripting languages such as Python or R . Solid understanding of data modelling, ETL processes , and system integration . Experience working with Azure and Microsoft data tools including Power More ❯

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure More ❯

Node.js, and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how More ❯

data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. More ❯

backend languages and frameworks such as Python, NodeJS, Next.js, Django, or Spring Boot. Expertise in at least one cloud platform and its related managed services. Knowledge of both relational SQL and NoSQL database systems. Skills in UX design (e.g., Figma). Knowledge of containerization using Kubernetes and Docker. Experience working with streaming technologies (Kafka). Proven experience developing scalable architectures More ❯

support the build of dashboards based on Microsoft Power BI. Developing R or Python scripts to produce predictive models for use within PowerBI or reporting. Maintenance of Power BI, SQL and related reporting systems, helping to ensure a useful and reliable reporting function for the business. Developing data pipelines from Microsoft Fabric and integration products to exploit and maximise a … BI/Microsoft Analytics solutions, with a good grounding in all associated areas including; development , Enterprise Architecture, Governance, Rollout and Adoption Knowledge or experience ofData Factory, Data Lake, Azure SQL database, Azure SQL Data warehouse, Azure Analysis Services, R Studio, Python, Power Apps or Microsoft Fabric. Considerable technical knowledge or experience in any of the following: Power BI Report Server … or Cloud based Service, or similar visualisation experience. Database including MS-SQL, Oracle Database, Data warehousing, SQL and XML. Microsoft Fabric experience R or Python predictive modelling/classification Experience in building dashboards, reports and cubes using SQL, MDX, DAX, Power Query M Code, Power BI or other visualisation tools. Detailed understanding or experience of how to develop cloud-based More ❯

will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial performance. Clear communication skills and a collaborative mindset. What’s on Offer Salary of £35,000–£40,000 depending on More ❯

shared engineering standards and best practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid More ❯

and Dataverse . Strong integration skills with Azure Logic Apps , REST/SOAP APIs , and KingswaySoft . Experience with CI/CD , DevOps , and GIT version control. Proficient in SQL , SSIS , and Azure Data Factory (ADF) . Working knowledge of Agile/SCRUM and OWASP principles. Excellent stakeholder management, communication, and problem-solving skills. Desirable Exposure to Copilot and AI More ❯