2,851 to 2,875 of 5,386 SQL Jobs

SME and Programme Manager to ensure that all project documents are maintained and that knowledge is transferred to clients throughout the engagement Essential Requirements Proven experience in C# .NET & SQL development Good experience of Windows application development Extensive experience with UiPath RPA technologies (Must have used this to create at least 20 processes of varying degrees of complexity) Leading experience More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

On-prem deployment of Fircosoft Continuity V6 Fircosoft back-end rule writing Strategic architecture design and development Configure Linux server environments Deploy and support Oracle DB schemas, tables, and SQL Interface with stakeholders, analyze requirements, and recommend solutions Onboard new work streams and sanction lists for transaction screening Must Have's: We require resources with hands-on keyboard experience deploying More ❯

or GCP) Implementing and optimising modern data architectures (e.g. Databricks, Snowflake) Collaborating with multidisciplinary teams to deliver real business value What we’re looking for Strong experience with Python, SQL , and pipeline tools such as dbt or Airflow Proven background in data modelling, warehousing, and performance optimisation Hands-on experience with cloud data services (Glue, Lambda, Synapse, BigQuery, etc.) A More ❯

You’ll be hands-on with AWS, Azure, or GCP, working in a collaborative environment that values innovation, quality, and teamwork. What you’ll bring: Solid experience with Python, SQL, Spark, and Airflow Confident working across AWS, Azure, or GCP Proven experience working in a consultancy environment — able to manage multiple clients and projects Great communication skills — able to work More ❯

a hands-on role offering real ownership and the chance to see your analysis directly impact growth and performance. YOUR SKILLS AND EXPERIENCE The ideal candidate will have: Strong SQL and Python skills Experience in forecasting, regression, or time series modelling Experience working across multiple stakeholder groups, such as operations, marketing, finance, energy Strong communication skills with the ability to More ❯

and cloud platforms like AWS. It would be a plus if you also possess previous experience in: TDD/ATDD/BDD, DDD, Pair/Ensemble Programming Wildfly, Oracle SQL, AWS, Docker/Kubernetes, Kafka, Jenkins GWT, Jest, Vite, Cypress, Playwright, eslint, esbuild, webpack, web components More ❯

Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates More ❯

Git, testing, code review). Excellent communication skills to bridge technical and non-technical teams. Nice-to-have skills: Hands-on experience with retrosynthesis tools . Familiarity with databases (SQL, NoSQL, graph). Experience deploying and scaling AI/ML applications . Knowledge of HPC environments and large-scale data pipelines. Leadership or mentoring in interdisciplinary teams. Why join? This More ❯

Solid understanding of banking or financial systems, such as payments, loans, core banking, or capital markets. Strong knowledge of systems analysis, SDLC, and technical documentation. Experience with data analysis, SQL, and data mapping across systems. Familiarity with API specifications (REST, SOAP) and system integration techniques. Ability to create detailed technical artifacts: data flow diagrams, system design documents, use cases, etc. More ❯

cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing data team. Tech Stack GCP | Power BI | Omni | SQL | Python | DBT | Docker Your Background Proven experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and More ❯

SME and Programme Manager to ensure that all project documents are maintained and that knowledge is transferred to clients throughout the engagement Essential Requirements Proven experience in C# .NET & SQL development Good experience of Windows application development Extensive experience with UiPath RPA technologies (Must have used this to create at least 20 processes of varying degrees of complexity) Leading experience More ❯

SME and Programme Manager to ensure that all project documents are maintained and that knowledge is transferred to clients throughout the engagement Essential Requirements Proven experience in C# .NET & SQL development Good experience of Windows application development Extensive experience with UiPath RPA technologies (Must have used this to create at least 20 processes of varying degrees of complexity) Leading experience More ❯

Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates More ❯

full spectrum of data analysis, from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily More ❯

full spectrum of data analysis, from high-level models down to individual fields. Essential Requirements Demonstrated experience in data analysis within an IT or technical environment. Strong proficiency in SQL and scripting languages including Python or R. Practical experience with RESTful API design, documentation (e.g. Swagger/OpenAPI), and testing tools (e.g. Postman). Working knowledge of cloud platforms (primarily More ❯

Candidates must have: 9+ years of hands-on Python experience (FastAPI, Flask, or Django) 5+ years of AWS experience (Lambda, API Gateway, Boto3, CloudFormation) Strong skills in REST APIs, SQL, Pandas, PyTest, and GitLab CI/CD Exposure to data pipelines, ETL, or event-driven systems Python, AWS Mirgation, and data manipulation will be required.Financial domain experience is a strong 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 (eg 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 More ❯

and governance frameworks. Proven experience designing and deploying enterprise-scale RPA solutions. Hands-on expertise in creating and managing bots, control room operations, and bot lifecycle management. Proficiency with SQL, Excel Macros, and basic scripting languages (VBScript, Python, or JavaScript Strong analytical and problem-solving skills. Excellent communication, leadership, and stakeholder management abilities. Nice to Have: Certification in Automation Anywhere More ❯

highly desirable Strong background in actuarial reserving, ideally with London market experience. Proven ability to develop and enhance actuarial models, including data specification, reconciliation, testing, and documentation. Proficient in SQL and comfortable working with large, complex datasets. Detail-oriented with a strong focus on auditability and documentation. Excellent time management and prioritisation skills. Strong communicator, capable of presenting technical findings More ❯

Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Commercially minded, with the ability to connect technical solutions to business value. Experience in financial services More ❯

Machine Learning , Computer Science , Mathematics , or Physics . Deep expertise in supervised/unsupervised learning, time series forecasting, deep learning, and generative AI. Strong programming skills in Python and SQL; experience with ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Commercially minded, with the ability to connect technical solutions to business value. Experience in financial services More ❯

ideally within food processing or packaging . Knowledge of: Industrial communication protocols (OPC UA, MQTT, Modbus, etc.) Networking basics and data integration between shop-floor and cloud systems Databases (SQL) and data visualization tools (Power BI or similar) Microsoft Azure cloud environment and services Practical experience with system configuration, testing, and troubleshooting. Candidate & Experience 2-5 years of experience in More ❯

highly desirable Strong background in actuarial reserving, ideally with London market experience. Proven ability to develop and enhance actuarial models, including data specification, reconciliation, testing, and documentation. Proficient in SQL and comfortable working with large, complex datasets. Detail-oriented with a strong focus on auditability and documentation. Excellent time management and prioritisation skills. Strong communicator, capable of presenting technical findings More ❯