1 to 25 of 644 Permanent 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 ❯

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 ❯

developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data Scientist or in a similar role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization 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 ❯

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: 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 ❯

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 ❯

and ReactJS (frontend and backend). Strong knowledge of cloud platforms , preferably Microsoft Azure . Experience building and integrating with REST/GraphQL APIs . Solid understanding of databases (SQL, NoSQL, or similar) and data modelling. Familiarity with CI/CD pipelines , automated testing, and DevOps tools. Understanding of secure coding practices , authentication (OAuth2, Entra ID/B2C), and authorization 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 ❯

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 ❯

at least one cloud platform and its managed data services. Familiarity with big data technologies such as Parquet, Iceberg, and streaming platforms like Kafka. Strong knowledge of database systems, SQL data model design, and query optimization. Experience with containerization using Kubernetes and Docker. Proven ability to deliver scalable and performant data services using microservice architectures. Experience developing scalable architectures using 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 ❯

software development environment. Hands-on experience with Selenium or equivalent automation frameworks. Programming skills in Java or Python for writing test scripts. Familiarity with testing applications built on MS SQL, ASP.NET, and C# . Strong understanding of the software development and testing lifecycles. Experience in project estimation, risk management, and test planning. Excellent communication, analytical, and problem-solving skills. A More ❯

software development environment. Hands-on experience with Selenium or equivalent automation frameworks. Programming skills in Java or Python for writing test scripts. Familiarity with testing applications built on MS SQL, ASP.NET, and C# . Strong understanding of the software development and testing lifecycles. Experience in project estimation, risk management, and test planning. Excellent communication, analytical, and problem-solving skills. A More ❯

to manage and mitigate cyber risks. About you: A deep knowledge and understanding of Cyber accumulations and experience with cyber catastrophe models (CyberCube, Moody’s RMS, Guidewire). Advanced SQL and excel skills. Familiarity with Power BI and Python an advantage. Excellent analytical and problem-solving skills, with a keen attention to detail. Current knowledge of compliance, regulatory and statutory More ❯

on Azure (AKS/ACI/Functions), CI/CD, and Infrastructure as Code (Bicep/Terraform). Data & Information Management Experience with relational/semi-structured database (MS SQL and Cosmos DB) and vector search indexing (Azure AI Search/pgvec More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯