226 to 250 of 1,318 SQL Jobs in the South East

including campaign performance and database health. Supporting data pipelines and automation to streamline CRM processes. Collaborating with senior stakeholders to influence customer engagement strategy. Your Skills and Experience Strong SQL skills (essential). Hands-on experience in CRM analytics and campaign reporting. Experience in retail, e-commerce, or CRM-focused environments. Comfortable presenting insights to both technical and non-technical More ❯

insight requests from across the business Working closely with the senior analytics team to continuously improve data processes What We're Looking For: Strong Excel and data handling skills (SQL knowledge a plus) A methodical, detail-oriented approach to working with large datasets Some familiarity with data visualisation tools (e.g., Power BI or Tableau) is desirable Eager to learn, with More ❯

from Oracle to PostgreSQL, and from Data Centre to Cloud (AWS) Understanding of Java Standard Edition 8, Java Enterprise Edition 5, 6 and 11 Demonstrable experience with PL/SQL development Some skills in GIS (JavaScript/OpenLayers, TileCache and MapServer) Experience in platforms/operating systems (Oracle Solis/Red Hat Enterprise Linux 8/Microsoft Windows 2k8,2k16 More ❯

Support successful project delivery through clear communication and proactive issue resolution Required Skills & Experience Strong experience in business analysis across digital and data-driven projects Hands-on skills in: SQL (for querying) Power BI (visualisation and reporting) Data modelling concepts - Profiling data, logical models, normalisation, data cleansing (descriptive, not technical) Excellent communication and stakeholder management skills Preferred Background Previous consulting More ❯

finance teams, banking partners, and payment service providers. About You 1–3 years’ experience in treasury, cash management, or related finance roles. Strong Excel skills; knowledge of Power BI, SQL, or other analytics tools advantageous. Familiarity with banking platforms and TMS (e.g., Kyriba, Quantum, SAP, FIS Integrity) a plus. Highly numerate, analytical, and detail-oriented. Able to work in a More ❯

Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes designing and optimising SQL Data bases such as MSSQL or Postgres Experience of working in a financial institution on trading/risk or middle office desks possibly with exposure to: Value at risk PnL More ❯

Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes designing and optimising SQL Data bases such as MSSQL or Postgres Experience of working in a financial institution on trading/risk or middle office desks possibly with exposure to: Value at risk PnL More ❯

Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines, deploying to Kubernetes designing and optimising SQL Data bases such as MSSQL or Postgres Experience of working in a financial institution on trading/risk or middle office desks possibly with exposure to: Value at risk PnL More ❯

will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday (09:00 - 17:30) Evenings: 16 weeks, two evenings per week (18:00-21:00) Contract Details More ❯

hoc analysis and contribute to the ongoing improvement of reporting processes and data quality To be successful in the role you will have: Experience in an analytical role Strong SQL skills for data extraction and manipulation Experience with Google BigQuery is beneficial Proven experience in financial modelling and forecasting Experience using data visualisation tools such as Power BI, Tableau, or More ❯

usage, data governance, and regulatory compliance. Help catalogue and manage key data assets for consistency and traceability. What We’re Looking For: Strong technical proficiency in Power BI, DAX, SQL, and Power Query. Solid experience in data modelling, data visualisation, and reporting. Understanding of Lloyd’s/London Market insurance practices and terminology. Excellent communication and stakeholder management skills. Ability More ❯

stories and driving sprint planning from a data perspective Sharing knowledge across tech teams and building documentation that lasts Tech stack: Azure Data Factory, Logic Apps, Azure Functions, Batch SQL, Cosmos DB CI/CD with Azure DevOps & Bicep Templates Bonus: Python and Power Platform exposure Experience: 2–3+ years building scalable data solutions in Azure A strong grasp of More ❯

Apply best practices in version control, CI/CD, and cloud infrastructure management Identify opportunities to improve processes, systems, and data quality across the business Requirements: Strong experience in SQL, Python, Spark, and cloud infrastructure (AWS, Databricks preferred) Hands-on experience building production data pipelines, coding transformations (e.g., dbt), and implementing data quality controls Familiarity with version control (Git), CI More ❯

Required Skills: Good experience of: integration concepts & technologies. MuleSoft Anypoint Platform & components (Mule ESB, API Manager, CloudHub, etc.) Java programming & experience with other programming languages such as XML, JSON, SQL Agile software development methodologies. Cloud-based integration platforms such as Amazon Web Services (AWS) or Microsoft Azure. API design and development. Knowledge of RESTful web services, SOAP, & other integration protocols More ❯

Informatica, AWS). Experience implementing and refining data/AI analytics tools to automate internal audit processes. Proficiency in analytics tools such as Alteryx, Tableau, Power BI, Databricks, Snowflake, SQL, or similar. This is a standout opportunity to join a highly respected firm and play a central role in advancing their digital audit capabilities. For the right candidate, it offers More ❯

engineering for complex data solutions. Strong scripting skills (PowerShell, .NET, C#, Java, etc.). API integration experience (REST, SOAP) using tools like Postman or Fiddler. Solid RDBMS knowledge (MS SQL) and data handling expertise. Proficiency with Windows server/client environments. Excellent written and verbal communication skills. Desirable - Programming experience (e.g., C#). - Knowledge of .NET framework and Azure Cloud More ❯

in data leadership, ideally within fintech or cloud-native organisations (AWS preferred). Strong technical background in data engineering, analytics, or data science. Experience with modern data stacks (e.g., SQL, dbt, Airflow, Snowflake, Looker/Power BI) and AI/ML tooling (e.g., Python, MLflow, MLOps). A track record of building and managing high-performing data teams. Strategic thinking More ❯

in touch ASAP as interviews are already taking place. Don't miss out! Key Skills: AWS, Data, Architecture, Data Engineering, Data Warehousing, Data Lakes, Databricks, Glue, Pyspark, Athena, Python, SQL, Machine Learning, London More ❯

spent coding and 20% on leadership and mentoring. Contribute to strategic IT planning and introduce innovations to improve systems and processes. Essential Requirements: Strong expertise in JavaScript, Node.js, Microsoft SQL, and MongoDB . Proven experience in architecting and implementing complex software systems in a microservices environment . Knowledge of RabbitMQ (or similar messaging tools) and CI/CD pipelines (GitLab More ❯

building, and optimising APIs and backend logic using Python/Django Developing dynamic, responsive front-end features using React and related libraries Working with relational databases (PostgreSQL) and optimising SQL queries Implementing secure authentication and authorisation flows Integrating with third-party APIs and services Writing maintainable, testable code and participating in peer code reviews Collaborating with designers, product managers, and More ❯

commercial strategy, or business analysis (media/entertainment or consultancy preferred). Strong knowledge of econometric and predictive modelling techniques. Proficiency with tools such as Excel, R, Python, or SQL, plus BI platforms (e.g., Tableau, Power BI). Proven ability to integrate inputs from multiple data disciplines into coherent narratives. Excellent communication skills, with the ability to explain complex models More ❯

ability to communicate technical concepts to non-technical stakeholders. Experience with enterprise systems integration (legal or corporate environments a plus). Preferred: Knowledge of AI libraries (e.g. OpenAI, PyTorch), SQL/NoSQL databases, or Node.js/TypeScript for custom n8n nodes. Experience with Microsoft Power Platform or LangChain frameworks. Benefits £70k–£75k salary benefits. 25 days holiday (increasing with service More ❯

of software development experience (all paths to expertise are welcome) Strong skills in .NET, JavaScript, TypeScript, C# Experience with React, Angular, or Vue.js (frontend wizardry) Knowledge of databases (both SQL and NoSQL – we're not picky) DevOps and CI/CD experience (because manual deployments are so 2015) Ability to solve problems creatively (googling solutions is perfectly normal, by the More ❯

such as GitHub Copilot and ChatGPT to enhance delivery Skills & Experience - Senior Data Engineer Strong hands-on experience building and maintaining automated data pipelines Advanced proficiency in Python and SQL Experience with dbt and strong understanding of data modelling (e.g., star schema) Proficient with orchestration tools such as Airflow Comfortable working with AWS services (Glue, S3, etc.) or similar cloud More ❯

IT/OT convergence tools (e.g., Azure IoT, Siemens MindSphere). Strong understanding of industrial protocols (OPC UA, MQTT, Modbus) and control systems (PLCs, DCS). Proficient in Python, SQL, C#, and industrial networking. Deep knowledge of Industry 4.0, IIoT, and smart manufacturing technologies. Excellent problem-solving, communication, and stakeholder engagement skills. Comfortable working in dynamic environments and leading change More ❯