1,826 to 1,850 of 5,185 SQL Jobs

is expanding its Software Development team. This is an excellent opportunity for a proactive and committed Software Developer with expertise in .NET (C#/ASP.NET), modern JavaScript frameworks, and SQL to contribute to impactful projects across a diverse client base. About the role As a Software Developer, you will be working on the development, and maintenance of their internal software … needs and project goals. Required Skills & Experience Proficiency in C# .NET (including ASP.NET). Hands-on experience with modern JavaScript frameworks (Angular, React, or Vue.js). Strong knowledge of SQL Server and database development. Experience building and implementing APIs . Excellent communication and stakeholder engagement skills. Benefits Package Hybrid working model: 1 day per week in the London office. Competitive More ❯

clear, comprehensive documentation to accelerate understanding and maximise the value of our data. DATA ENGINEER – ESSENTIAL SKILLS Stakeholder Engagement Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Understanding of CI/CD concepts Strong Python skills Advanced SQL skills TO BE CONSIDERED... Please either More ❯

function with one of the market’s top performing insurers. The incoming Analyst will find a great platform for development, ideally building on an existing tech skillset of python, SQL & Databricks. Responsibilities: Support and develop pricing changes and predictive models using statistical techniques (linear and non-linear). Validate data quality and build confidence in pricing algorithms and surrounding systems. … support graduate analysts. Proactively identify opportunities to improve processes and analytical approaches. Requirements: Minimum 2:1 degree in a numerical discipline (e.g., Mathematics, Statistics, Data Science). Proficiency in SQL, Python & Databricks preferred. Strong problem-solving and analytical skills, with a good understanding of statistical modelling. Excellent communication and reporting skills. Experience with insurance data, SAS, Radar, or Emblem is More ❯

clear, comprehensive documentation to accelerate understanding and maximise the value of our data. DATA ENGINEER – ESSENTIAL SKILLS Stakeholder Engagement Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Understanding of CI/CD concepts Strong Python skills Advanced SQL skills TO BE CONSIDERED... Please either More ❯

clear, comprehensive documentation to accelerate understanding and maximise the value of our data. DATA ENGINEER – ESSENTIAL SKILLS Stakeholder Engagement Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Understanding of CI/CD concepts Strong Python skills Advanced SQL skills TO BE CONSIDERED... Please either More ❯

modeling, and data integration to support scalable and high-performance data solutions. Key Responsibilities: Design and implement end-to-end Azure-based data solutions using services such as Azure SQL Database, Data Factory, Synapse Analytics, Data Lake, DevOps, and Storage. Develop and optimize ETL processes using Informatica for data integration and migration across UNIX and Windows environments. More ❯

modeling, and data integration to support scalable and high-performance data solutions. Key Responsibilities: Design and implement end-to-end Azure-based data solutions using services such as Azure SQL Database, Data Factory, Synapse Analytics, Data Lake, DevOps, and Storage. Develop and optimize ETL processes using Informatica for data integration and migration across UNIX and Windows environments. More ❯

dashboards. Minimum Qualifications Relevant background in Strategy & Planning, Analytics, Data Science Stakeholder Management: Outstanding verbal and written communication skills. Strategic thinking and a consultative approach Programming: Professional experience with SQL and Python. Visualisation: Proven experience with Tableau for data visualisation and dashboard development Prior professional experience in financial products and services Strong experience in Business Analytics and Consulting Preferred Qualifications … Proven experience in marketing, advertising, or customer analytics Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases. Statistics: Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling. Degree in Analytics, Data Science, Marketing or similar More ❯

key responsibilities will include: Leading on capturing and retrieving essential data for local and statutory requirement, ensuring accuracy and clarity. Scope, design, and create reports using software like Microsoft SQL Server Reporting Services and Power BI, enabling us to meet statutory obligations and local performance oversight needs. To excel in this role, you should possess: An HNC or NVQ Level … analysis or information management, or relevant experience. Skills in assessing data integrity, matching, analysis, and strong skills in stakeholder engagement. Advanced Excel skills. Strong understanding and practical use of SQL and Power BI would be an advantage Knowledge of Childrens Services and the Public Sector would be beneficial but not mandatory. Employee Benefits 26 days annual leave, rising to More ❯

server-side applications using Java, C#, or Python. Implement automated unit and end-to-end (E2E) testing to ensure high-quality, maintainable code. Work with Kafka, Kubernetes, Git, Node.js, SQL, and Python in a collaborative development environment. Conduct usability analysis to refine and improve application performance. Collaborate closely with cross-functional development teams in an Agile setting. Troubleshoot, debug, and … analysis and automated testing development (unit and E2E). Ability to switch between multiple programming languages and learn new ones quickly. Hands-on experience with Kafka, Kubernetes, Git, Node.js, SQL, and Python. Experience collaborating with software development teams in an Agile environment. Active TS/SCI Clearance Desired Qualifications DoD 8570 Compliant Security+ or CISSP Certification (required prior to contract More ❯

of professional experience of web development with Bachelor's Degree in Computer Science, Engineering or a related discipline. • Experience working with both front and back-end programming languages and SQL/No-SQL database technologies: Desired: ReactJS, NodeJS, Python, PostgreSQL. Alternatives: VueJS, Go, MySQL, ElasticSearch • Experience working in Agile environments and facilitating working sessions across teams • Excellent problem-solving and More ❯

and deployment across our platform. Design & Develop Scalable Systems: Contribute to both development and architecture, focusing on building robust APIs and efficient data flows. Manage Databases: Work with both SQL and NoSQL (Postgres, Elasticsearch, MongoDB) to design, optimize, and maintain data storage. Implement DevOps Best Practices: Build and maintain CI/CD pipelines, streamline deployments, and ensure reliable and scalable … Skills: Proactive, solution-oriented, and an excellent team player. Hands-On DevOps Experience: Familiarity with CI/CD pipelines and version control. Familiarity with Cloud Infrastructure platforms, preferably Azure SQL & NoSQL Expertise: Comfortable with databases like Elasticsearch, MongoDB, and relational systems. Right to Work in the UK: Must be based in the UK with valid work authorization. More ❯

functionality in our data systems. As the selected Data Engineer, your background will include: 3+ years industry experience in a Data Engineer role and a strong academic background Python & SQL: Advanced-level Python for data applications and high proficiency SQL for complex querying and performance tuning. ETL/ELT Pipelines: Proven experience designing, building, and maintaining production-grade data pipelines More ❯

and deployment across our platform. Design & Develop Scalable Systems: Contribute to both development and architecture, focusing on building robust APIs and efficient data flows. Manage Databases: Work with both SQL and NoSQL (Postgres, Elasticsearch, MongoDB) to design, optimize, and maintain data storage. Implement DevOps Best Practices: Build and maintain CI/CD pipelines, streamline deployments, and ensure reliable and scalable … Skills: Proactive, solution-oriented, and an excellent team player. Hands-On DevOps Experience: Familiarity with CI/CD pipelines and version control. Familiarity with Cloud Infrastructure platforms, preferably Azure SQL & NoSQL Expertise: Comfortable with databases like Elasticsearch, MongoDB, and relational systems. Right to Work in the UK: Must be based in the UK with valid work authorization. More ❯

and deployment across our platform. Design & Develop Scalable Systems: Contribute to both development and architecture, focusing on building robust APIs and efficient data flows. Manage Databases: Work with both SQL and NoSQL (Postgres, Elasticsearch, MongoDB) to design, optimize, and maintain data storage. Implement DevOps Best Practices: Build and maintain CI/CD pipelines, streamline deployments, and ensure reliable and scalable … Skills: Proactive, solution-oriented, and an excellent team player. Hands-On DevOps Experience: Familiarity with CI/CD pipelines and version control. Familiarity with Cloud Infrastructure platforms, preferably Azure SQL & NoSQL Expertise: Comfortable with databases like Elasticsearch, MongoDB, and relational systems. Right to Work in the UK: Must be based in the UK with valid work authorization. More ❯

profitability, and reduce losses, all while keeping customer outcomes front and centre. Expectations Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. Take a test and learn' approach, challenging the status quo to find better outcomes. Translate portfolio trends … ll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. Credit Card industry experience A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For More ❯

information, visit PIHHealth.org or follow us on Facebook , Twitter , or Instagram . Required Skills Critical thinking and an analytical mind User focused design and data visualization skills Proficiency with SQL and relational database concepts Proficiency and demonstrated experience with analytics tools Familiarity with Epic applications and database structure, through training that occurs early in the implementation Ability to gain an … in at least one of the below certifications: Access Data Model Certification Clinical Data Model Certification Revenue Data Model Certification Experience working in a regulated environment (FDA, HIPPA) Analytics, SQL experience and developing in data visualization tools Experience in a hospital and/or clinic setting Epic Train Track: Caboodle Development for Clarity Data Epic Train Track: Caboodle Development for More ❯

Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. Translating business requirements into … technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration/Continuous Delivery (CI/CD) pipelines. Automating deployment processes. Implementing security best practices to protect More ❯

Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. Translating business requirements into … technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration/Continuous Delivery (CI/CD) pipelines. Automating deployment processes. Implementing security best practices to protect More ❯

Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. Translating business requirements into … technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration/Continuous Delivery (CI/CD) pipelines. Automating deployment processes. Implementing security best practices to protect More ❯

Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. Translating business requirements into … technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration/Continuous Delivery (CI/CD) pipelines. Automating deployment processes. Implementing security best practices to protect More ❯

Experience in data engineering, with a strong focus on Google Cloud Platform (GCP)-based solutions. Proficiency in the GCP platform, particularly in Data & AI services (e.g., BigQuery, DataProc, Cloud SQL, DataFlow, Pub/Sub, Cloud Data Fusion, Cloud Composer, Python, SQL). Designing, developing, and deploying scalable, reliable, and secure cloud-based solutions using GCP services. Translating business requirements into … technical specifications. Proficiently utilizing core GCP services, such as Compute Engine, Kubernetes Engine (GKE), Cloud Storage, Cloud Functions, Cloud SQL, and BigQuery. Implementing and managing GCP networking configurations. Using IaC tools like Terraform to automate infrastructure provisioning and management. Implementing and managing Continuous Integration/Continuous Delivery (CI/CD) pipelines. Automating deployment processes. Implementing security best practices to protect More ❯

looking for At least 4 years’ hands-on experience in DevOps or Cloud EngineeringProficiency with cloud platforms (AWS, Azure, or GCP) and database products such as RDS, DynamoDB, Cloud SQL, or Cosmos DBStrong skills with Infrastructure as Code (Terraform, CloudFormation, etc.) and containerisation (Docker, Kubernetes)A solid command of scripting languages such as Python, Bash, or PowerShell Good knowledge of … both SQL and NoSQL database modelsExperience with CI/CD, Git, and configuration management tools Nice-to-haves include cloud/database certifications, experience in security & compliance audits , and exposure to data lakes or real-time analytics . What’s in it for you Salary in the region of £40,000 – £50,000 The chance to join a growing technology More ❯

in conceptual, logical, and physical data modelling techniques, including normalization and denormalization. Clear communication for complex data challenges to non-technical stakeholders. Strong knowledge of relational database management systems (SQL Server, MySQL) and familiarity with NoSQL databases. Advanced SQL skills for querying and manipulating complex data sets. Ability to analyse data to identify trends, patterns, and insights that inform business More ❯

Qualifications Currently pursuing or recently completed a degree in Data Science, Analytics, Computer Science, Engineering, or a different field, with strong interest and experience in data. Required Skills Strong SQL skills and an understanding of relational databases. Familiarity with Python or other coding language. Exposure to Snowflake or another cloud data warehouse. Familiarity with dashboarding tools like Sigma, Tableau, or … Rolling Location: London How to Apply Send your resume and a short note explaining: Why you’re excited about analytics engineering. Any projects or coursework where you’ve used SQL, Snowflake, or dashboarding tools. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. More ❯