1 to 25 of 107 Contract SQL Jobs in the South East

problem-solving, debugging, and testing skills. Ability to work collaboratively in a dynamic, cross-functional environment. Experience with project management or Agile methodologies. Desirable: Programming skills in Python, JavaScript, SQL, Java, C#, or Ruby. Experience with Microsoft Cloud, AWS, cloud infrastructure, or Microservices architecture. Familiarity with Power Apps, Power BI, Microsoft Graph API, Azure Logic Apps/Functions, and Dataverse. More ❯

right time Skills Data Analysis - Ability to manipulate and analyse data, and make informed decisions Data Analysis & Visualisation Tools - Proficiency with data analysis and visualisation tools e.g. Python, R, SQL, Power BI, Tableau Data Modelling - Ability to perform statistical analysis and predictive modelling. Data Governance - Knowledge of data governance and quality assurance practices. Communication skills - collaborate with cross-functional teams More ❯

business stakeholders to understand data requirements.Ensure data quality, integrity, and security across platforms.Monitor and troubleshoot data workflows and performance issues. Requirements: Proven experience with Databricks and Snowflake.Strong proficiency in SQL and Python.Extract Load Transform procedures, Data Lineage & Analysis.Familiarity with cloud platforms (e.g., Azure, AWS, or GCP).Experience with CI/CD and version control tools (e.g., Git).Excellent problem-solving More ❯

continuous improvement. Champion standardisation of integration patterns and documentation. What You'll Bring Proven experience in data engineering or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI More ❯

monitoring Systems. Preferably, Actimize SAM. A good understanding of core Bank products such as Trade Finance, Loans and SWIFT payments. Experience with analytical or database querying software such as SQL and Python. Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided More ❯

of data with excellent attention to detailKnowledge of a wide variety of Generative AI modelsConceptual understanding of how large language models workProficiency in coding languages for data manipulation (e.g., SQL) and machine learning & AI development (e.g., Python)Experience with dashboarding tools such as Power BI and Tableau (beneficial but not essential)Experience with cloud native tooling for Azure and AWSStrong More ❯

their new enterprise data platform initiatives. This role will need someone with deep knowledge around data testing, automation and Quality governance across cloud-based data solutions. Core tech stack: SQL test automation DBT Test, Pytest data modelling Key requirements: Define and implement an end-to-end test strategy Establish robust data validation and test data management frameworks Drive automation and More ❯

skills, with experience of delivering analysis and insight focused on growth & improvement. Experience of using digital analytics tools such as Google Analytics (or equivalent). A minimum of intermediate SQL ability with experience of using tools such Google BigQuery, Databricks (or equivalent). Use of visualisation tools (Looker Studio/Power BI/Tableau). Strong stakeholder engagement and ability More ❯

space. Required Skills & Experience Cloud Platforms: Strong expertise in AWS/Azure/SAP ETL/ELT Pipelines: Advanced proficiency Data Modelling: Expert level Data Integration & Ingestion: Skilled Databricks, SQL, Synapse, Data Factory and related Azure services Version Control/DevOps tools: GITHUB, Azure DevOps, Actions Testing & Automation tools: PyTest, SonarQube Desirable Experience Experience leading or running scrum teams Exposure More ❯

grasp of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies such as Spark and Hadoop, and distributed computing concepts. Proficiency in SQL and at least one programming language (e.g., Python, Java). Preferred Qualifications: Relevant certifications in data architecture, cloud platforms, or data governance. Experience working in Agile environments. Strong communication and More ❯

It is hybrid and will require 3x days onsite per week. Essential: Strong background in C# programming and .Net technologies Strong Windows background Strong experience with relational databases and SQL Proven experience in continuous improvement of areas of focus and drive changes Ability to analyse information, understand business needs & requirements and deliver the best possible systems solution Strong verbal and More ❯

QA frameworks. Potentially manage and mentor a junior engineer over time. Document architecture and development workflows. YOUR SKILLS AND EXPERIENCE: You'll need: Strong hands-on experience with Snowflake, SQL, and Python. Version control and collaboration using Git. Proven background in data modelling and architecture design. Nice to have: Experience with Azure services (e.g., App registration, Storage Accounts). Familiarity More ❯

ROI. Requirements Proven expertise in Tableau (or similar BI tools). Hands-on experience with LTV modelling and customer segmentation. Practical background in MMM and marketing attribution . Advanced SQL and Python skills (for cloud functions, modelling, automation). Strong communication skills with experience presenting insights to stakeholders. Detail-oriented, with a focus on accuracy, scalability, and impact. Nice to More ❯

teams. Contribute to project delivery, documentation, and knowledge sharing across regions. Requirements: An interest EQD products, pricing, and algorithmic trading. Experience with Unix/Linux/Windows systems, Oracle SQL, IBM Websphere MQ, Tibco RV. Scripting skills (e.g., Python) and understanding of production processes. Proven experience or an interest in front-office trading environments. Excellent problem-solving, communication, and stakeholder More ❯

Environment Management representation in daily scrums, working groups, and ad-hoc meetings. Required Skillsets: Strong skills and experience with data technologies such as IBM DB2, Oracle, MongoDB, Hive, Hadoop, SQL, Informatica, and similar tech stacks. Attention to detail and strong ability to work independently and navigate complex target end state architecture (Tessa). Strong knowledge and experience with Agile testing More ❯

ensure the delivery of clean, scalable data solutions that power high-impact research. Key Responsibilities Build and maintain data pipelines using modern tools on Google Cloud, including Python, Spark, SQL, BigQuery, and Cloud Storage. Ensure data pipelines meet the analytical and scientific needs of key applications. Deliver high-quality, production-grade code with testing and documentation. Develop, measure, and monitor More ❯

maintain enterprise applications, e-learning portals, and web services using PHP. Apply solid software design patterns and industry best practices. Architect and optimize database systems (MySQL) and craft raw SQL queries for performance. Translate complex business requirements into scalable, maintainable technical solutions. Build and maintain client and management reporting tools. Contribute to the evolution of developer tools, CI/CD More ❯

with Cloud/SaaS technologies, specifically Microsoft Azure. Understanding of IT operations, infrastructure monitoring, and incident management workflows. Experience integrating VBA with external systems such as REST APIs and SQL databases. Strong problem-solving skills and attention to detail. Knowledge of scripting languages for automation (e.g., PowerShell). Understanding of security concepts applicable to the platform estate. Experience in managing More ❯

associated sales productivity tools such as Gong, Outreach, Seismic– experience launching CRM/tools into sales organisations a plus Advanced Excel/Power BI/VBA skills Knowledge of SQL and experience with Databricks/Github preferred BI reporting tools such as Tableau a bonus Comfortable representing sales ops and collaborating on cross-functional projects (finance, marketing, customer success) Responsibilities More ❯

models Capability to create high-level (HLD) and low-level (LLD) designs Working knowledge of Data Warehouses, with good understanding of Inmon and/or Kimball concepts Experience with SQL and MS Excel for data profiling Flexible approach towards hybrid working (1-2 days per week onsite, may involve travel to another site too) Excellent communication and stakeholder management skills More ❯

to increase data efficiency and reliability Your Experience & Skills: Proven experience as a Data Engineer or Software Engineer with a focus on data architecture Strong proficiency in Python and SQL, with the ability to manipulate and analyse large datasets Hands-on experience with Kafka for stream processing and AWS (particularly Redshift and S3) Skilled in implementing testing and validation strategies More ❯

platforms. Provide technical leadership, mentoring engineers, and supporting key strategic projects. Champion innovation, best practices, and continuous improvement across the engineering function. Skills & Experience Strong expertise in Azure Tenant , SQL , KQL , Ansible , and Power BI . Hands-on experience with containerisation (Docker/Podman) , CEPH , and PKI . Proficiency in PowerShell , Python , and Linux . Deep understanding of database security More ❯

essential) Proven experience working with Palantir Foundry in complex environments Strong skills in data engineering, ETL processes, and data modelling Proficiency in relevant programming/scripting languages (e.g. Python, SQL) Experience working with large-scale datasets in secure environments Strong problem-solving skills and stakeholder engagement abilities TO BE CONSIDERED.... Please either apply by clicking online or emailing me directly More ❯

Expert in building RESTful APIs and microservices AWS: Strong experience with core AWS services (EC2, S3, Lambda, IAM, etc.) Kafka/Messaging Systems: Expertise in building event-driven architectures SQL: Strong experience with relational databases and query optimization REST/JSON APIs: Designing, developing, and consuming scalable APIs Docker: Proficiency in containerizing applications for local and cloud environments Communication: Excellent More ❯

data services. Solid understanding of data governance principles, including data quality, metadata management, and access control. Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing. Proficiency in SQL and at least one programming language (e.g., Python, Java) 6 Month Contract Inside IR35 Immediately available London up to 2 times a month in the office Please send CV's More ❯