201 to 225 of 5,531 SQL Jobs in the UK

networks. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field - Professional experience in Business Intelligence, data engineering or data analytics - Advanced proficiency in SQL and Python - Knowledge of data warehousing and data modeling - Experience in developing analytical models and reporting frameworks - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience working directly More ❯

Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders at all More ❯

Credit, Market, and Liquidity Risk methodologies, along with experience in regulatory frameworks such as Capital Requirements Directive III, IV, or V. Strong technical skills in data analytics tools (SAS, SQL, Python) and visualisation tools (Power BI, Tableau, Qlik). Experience with Agile methodologies, IT controls, and software development lifecycles. Exceptional communication skills with the ability to engage stakeholders at all More ❯

OneTrust Experience in MDM/DQM/Data Governance technologies like Collibra, Atacama, Alation, Reltio Experience with the modern data, analytics and business intelligence tools, - Promethium, Databricks, Spark, Fabric, SQL, Python, and PowerBi is a must Business Analysis and requirement gathering: End-to-end experience of gathering and documenting requirements to deliver Solutions Designs that meet business objectives. Experience handling More ❯

relevant discipline (e.g. STEM, Maths, Statistics, Physics but not exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS Knowledge of Data visualisation software, PowerBI preferrable. Proven ability to analyse large sets and translate them into insights and actionable More ❯

stakeholder engagement And any experience of these would be really useful Experience with telephony platforms (e.g. Genesys, Twilio, Avaya, Nuance) Infrastructure as Code (Terraform, Ansible, Puppet) Data engineering (ETL, SQL, Power BI, Tableau) Secure-by-design principles and architectural patterns Interest in AI, IoT, or service mesh (e.g. Istio) NodeJS A passion for delivering business value through sound engineering methods More ❯

Proven experience as a software engineer with a strong focus on C#. and .NET CORE. Preferably full stack (i.e. front end technologies such as Angular, Database technologies such as SQL, Elastic and or document storage). Desirable: Familiarity with event-based systems. Strong experience with cloud environments - Azure preferable, others desirable. Excellent project management skills and experience with Agile methodologies. More ❯

through self-learning, personal projects, competitions etc. Experience of triage, RCA and fix for software issues within a distributed system Competence in multiple programming languages Experience of database development (SQL and NoSQL) Experience with design patterns, refactoring, OO design and related areas Strong analytical, problem-solving and organizational skills Demonstrate accountability for results whilst working with high autonomy The right More ❯

SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or master's degree in computer science, engineering, or related field Prior industry experiences developing in Python, Java, Spring & Non-SQL technologies such as MongoDB Experience with micro-services, java deployments & Dev Ops tools such as Gitlab Full understanding of software development lifecycle best practices An ability to drive to goals More ❯

framework, preferably Django. At least 3 years' experience of coding in a front-end capacity (preferably JavaScript and React). Container-related tools - e.g., Docker, Docker Compose. Databases - e.g., SQL, PostgreSQL. RESTful API development and management. Proactive Performance Tuning. Solid understanding of design patterns and relevant implementation models. Solid understanding of DevOps tooling, GitLab, CI/CD, Jenkins, build pipelines More ❯

of build Technical documentation of software design Required Skills & Experience Essential You must have all of the following: Professional experience building server-side applications in Python Professional experience with SQL and RDBMS technology (PostgreSQL, SQLite, or similar) Professional experience creating back-end components Professional experience creating and running automated tests Excellent analytical and problem-solving skills Excellent oral and written More ❯

pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure, AWS, GCP), we're using Azure in the team. Good SQL understanding in practice Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions Must have excellent communication skills and interact effectively with all levels More ❯

pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure, AWS, GCP), we're using Azure in the team. Good SQL understanding in practice Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions Must have excellent communication skills and interact effectively with all levels More ❯

requirements from stakeholders into robust, well-documented and tested dbt models. • Develop and own workflows within Google Cloud Platform environments, primarily using BigQuery and dbt. • Write high-quality, optimised SQL for data transformation and analysis. • Develop and maintain scalable data pipelines within the Google Cloud Platform, ensuring efficient and cost-effective data transformations. • Take ownership of dbt project health, monitoring More ❯

engineering solutions on cloud platforms, preferably Oracle OCI, AWS, or Azure Proficient in Python and workflow orchestration tools such as Airflow or Prefect Expert in data modeling, ETL, and SQL Experience with real-time analytics from telemetry and event-based streaming (e.g., Kafka) Experience managing operational data stores with high availability, performance, and scalability Expertise in data lakes, lakehouses, Apache More ❯

and maintaining services on a public cloud platform (e.g., AWS, Azure, Oracle) Experience working on Kubernetes Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Strongknowledge of Computer Networking (OSI layers, HTTP, DNS, TCP/IP, DHCP, Routers, Gateways, Subnets, etc.) Knowledge of Linux internals, Linux/Unix troubleshooting skills Familiarity with host More ❯

in fast-paced environments, managing workloads and meeting project deadlines. Strong collaborative spirit, working seamlessly with team members and external clients. Proficiency in R or Python. Solid understanding of SQL; experience working with Spark (Java, Python, or Scala variants) and cloud platforms like Databricks is a plus. Strong statistical knowledge, including hypothesis testing, confidence intervals, and A/B testing. More ❯

machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas/scikit, JavaScript Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and More ❯

but we'll support your learning every step of the way. •A basic understanding or hands-on experience with analytical tools such as Excel (including PivotTables), Power BI, Tableau, SQL, Python, or similar-through coursework, internships, or personal projects. •Critical thinking and problem-solving aptitude with the ability to demonstrate strong initiative and manage multiple deadlines •A collaborative team player More ❯

these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using an Agile development approach Proven experience More ❯

these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using an Agile development approach Proven experience More ❯

these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using an Agile development approach Proven experience More ❯

these. Experience of building a data warehouse using an ETL/ELT tool, preferably Oracle ODI Significant database experience in Snowflake or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience of developing using an Agile development approach Proven experience More ❯

Users. Proficient in troubleshooting, debugging, and resolving software and system issues in a manufacturing environment. Strong understanding of manufacturing processes and MES workflows . Familiarity with database technologies (e.g., SQL), scripting, and integration with shop-floor equipment. Knowledge of ITIL (IT infrastructure Library) or similar service management frameworks is an advantage. Experience with software development methodologies (e.g., Agile) and version More ❯

Expertise: - Deep understanding of data engineering principles and best practices, including data modeling, observable ETL/ELT processes, data warehousing, and data governance. - Proficiency in data manipulation languages (e.g., SQL/DBT) and programming languages relevant to data engineering (e.g., Python). - Experience with a variety of data processing frameworks and technologies, including cloud-based data services. Software Engineering Practices More ❯