101 to 125 of 6,329 Permanent SQL Jobs

integrated into delivery cycles. What we are looking for: Essential: Proven experience (2+ years) as a Data Analyst preferably within a retail or consumer-focused environment. Strong proficiency in SQL for querying and manipulating large datasets. Expertise in data visualization tools such as Tableau, Power BI, Looker, or similar, with a portfolio of impactful dashboards. Advanced Microsoft Excel skills (pivot More ❯

and have excellent communication skills. The ideal candidate will have the following; Expertise in C#, .NET Framework/.NET Core & ASP.NET Proficient in HTML, JavaScript & CSS Proficient in T-SQL Knowledge of a JavaScript/Typescript framework preferable, e.g., React Knowledge of UI/UX standards, trends, and emerging technologies Experience integrating with other systems through web services, e.g., REST More ❯

testing basics Accessibility testing knowledge Test data management Test environment configuration Additional Technical Skills CI/CD integration experience, Azure DevOps preferred Basic understanding of .NET and React applications SQL knowledge for database validation Container testing with Docker Basic Kubernetes knowledge for testing deployed applications Observability tools for test monitoring Experience with test reporting tools AI-powered testing tools experience More ❯

record of leading and managing technical teams, with excellent people development skills. Strong project management skills, with experience running complex data initiatives. Strong knowledge of modern data engineering, including SQL, Python, Airflow, Dataform/DBT, Terraform, or similar tools. Understanding of data architecture patterns (e.g., lakehouse, event-driven pipelines, star/snowflake schemas). Excellent communication and stakeholder management skills. More ❯

be beneficial. Understanding of the System Delivery Life Cycle. Experience of using agile delivery tools such as JIRA, Pivotal, Collab, Confluence Experience of engineering based on the likes of SQL, SSIS, Python, Java, Scala, XML/FpML and Power BI Data architecture, data lineage and all aspects of AI including, but not limited to, NLP, ML, deep learning and Generative More ❯

Asset Alliance Group - Senior BI Developer This role could be based in either London or Wolverhampton AAG are undertaking several major projects delivering new systems into the business. Working with stakeholders in the business the successful candidate will take an More ❯

Asset Alliance Group - Senior BI Developer This role could be based in either London or Wolverhampton AAG are undertaking several major projects delivering new systems into the business. Working with stakeholders in the business the successful candidate will take an More ❯

AAG are undertaking several major projects delivering new systems into the business. Working with stakeholders in the business the successful candidate will take an active part in the requirements gathering, designing and implementing a reporting solution. AAG are currently using More ❯

systems. Personnel should have strong data manipulation and problem-solving skills. Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation Have good communication skills and problem-solving ability. Security Clearance Active Secret clearance is required. More About B&A: Notable Clients B More ❯

of implementing ETL processes Experience of integrating multiple systems in one data warehouse Design and document processes, data flows, lineage Planning and scheduling of data warehouse routines Technical Skills - SQL Server Database Develop SQL server database solutions Advanced knowledge of writing SQL queries, stored procedures and functions using T-SQL Analyse existing SQL queries, debug issues and improve Performance optimization … indexing Experience using database mail (dbmail) SQL Server job agent Comfortable working with structured and semi-structured data files (CSV, Excel, XML, JSON). Technical Skills - Power BI Prototype, design, develop and publish Power BI Reports Develop Power BI Data models and recommend best practices for report creation and visualisations Use different Power BI visuals, data transformation module, Power query … including Python (data manipulation, automation scripts, API integration). Able to work with REST APIs to consume external data, such as risk models or compliance checks, and integrate into SQL or Power BI. Familiarity with version control systems (e.g., Git) and working within structured development environments. Use of Power Apps and Power Automate to build no-code/low-code More ❯

focus on enhancing our internal reporting capabilities, data quality, data architecture, data acquisition, data automation, and business insights. This role is suited for an individual with experience in building SQL queries, Python scripts, and Report Development tools (SSRS, SAP BO, Tableau, Power BI). The candidate must be proficient in working with large volumes of data, automating data loads, and … partner with our internal IT team to assist in migrating STR's data ingestion, storage, and consumption to the cloud (AWS) using standardized tools. RESPONSIBILITIES Build technical skills including SQL, Python, and Power BI Automate data ingestion, ensure data quality, and catalog new data sets for discovery Develop SQL procedures, functions, and views Support standard business reports Manage data warehousing … s data landscape Assist in migrating existing reports during the integration project QUALIFICATIONS Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or equivalent experience 4+ years of SQL programming experience, including relational schema design and query optimization 2+ years using Python or similar scripting languages for data science Experience with data processes and building ETL pipelines Experience with More ❯

data flows Process Improvement & Automation: Proactively contribute to continuous improvement initiatives to optimize financial reporting and R2R processes. Support automation projects by leveraging data-handling and coding skills (e.g., SQL, Python, Power BI, or similar). Collaborate with cross-functional and technology teams to streamline accounting workflows, build system integrations, and enhance data accuracy and process efficiency Ensure compliance with … with automation tools and a proactive mindset toward improving financial workflows. Strong analytical mindset, with experience in identifying financial trends and process efficiencies. Continuously developing data analytics capabilities (e.g., SQL, Python, Power BI) to support current reporting needs and build a foundation for long-term automation and process optimization Excellent problem-solving skills and attention to detail. Strong communication and More ❯

data modelling and data engineering with a strong grasp of modern cloud architectures. - Expertise in data pipelines, ETL/ELT, and working with structured & unstructured data. - Strong skills in SQL, Python, Spark, or other relevant technologies. - Prior exposure to Microsoft Fabric is a huge plus -- but if you're eager tolearn, we'll get you up to speed. Main duties … to integrate data from various sources into centralised data repositories. 7. Document data architecture, processes, and workflows for reference and knowledge sharing. 8. Utilise programming languages (e.g., C#, Python, SQL) and technologies (e.g., Apache Spark, SSIS, .NET) to manipulate and analyse data. 9. Participate in code reviews, version control (e.g., using Git), and other software development best practices to ensure … of extracting data, manipulating, understanding, transforming, wrangling and cleaning NHS datasets. Experience with ICD, OPCS, SNOMED codes and the NHS Data Dictionary. Ability to write well-designed, testable, efficient SQL code which follows good coding standards. Experience in a data integration role with the ability to apply logical thinking using a wide range of data processing tools and techniques to More ❯

Work with terabytes of structured and semi-structured data from our enterprise data warehouse, primarily stored in Oracle and integrated with Databricks Spark on AWS. Write efficient, production-quality SQL and PL/SQL queries for data extraction and transformation in Oracle. Leverage Databricks Spark and PySpark to process large datasets and build machine learning models in a distributed environment. … and any one artifactory tool. Qualifications Masters or B.S. degree in Computer Science, Data Science, Statistics Engineering or a related field. Expertise in Oracle database, with strong proficiency in SQL and PL/SQL, Oracle access control (roles, privileges, user management, and data security). Working knowledge of AWS core services, including S3, EC2/EMR, IAM, Athena, Glue or More ❯

their industries. We're driven by ideas and powered by our people. We are looking for a Data Engineer with skills in cloud platforms (GCP/AWS/Azure), SQL and a programming language (python ideally). We really value in-person collaboration, so we're looking for you to spend at least 60% of your time on-site. This … availability and performance What You'll Need to Succeed Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such More ❯

years of hands-on experience as a Data Engineer working with Databricks and Apache Spark • Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL) • Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables • Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques … and database systems • Proven experience with at least one major cloud platform (Azure, AWS, or GCP) • Excellent SQL skills for data querying, transformation, and analysis • Excellent communication and collaboration skills in English and German (min. B2 levels) • Ability to work independently as well as part of a team in an agile environment Responsibilities: As a Data Engineer with a focus … efficient and scalable ETL processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses • Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and performant data workflows • Integrating with cloud services such as Azure, AWS, or GCP to enable secure, cost-effective data solutions • Contributing More ❯

We are on the lookout for a Data Engineer with a robust background in SQL Server and ideally Azure Data Factory. The ideal candidate will have a wealth of experience in business intelligence, data modelling, and visualisation, and will be proficient in Agile Scrum Development methodology. This pivotal role involves leading the development of business intelligence solutions and empowering users … maintain workflows and process automation. Support digital transformation projects. Required Skills & Qualifications: 5+ years’ experience as a business intelligence developer, data engineer or in a related role. Proficiency with SQL Management Server, SSRS, SSIS, and other related systems. Experience with Microsoft Azure stack and technologies such as ADF, Logic Apps, Data Lake, Data Bricks, Power Query, etc. Experience in low More ❯

We are on the lookout for a Data Engineer with a robust background in SQL Server and ideally Azure Data Factory. The ideal candidate will have a wealth of experience in business intelligence, data modelling, and visualisation, and will be proficient in Agile Scrum Development methodology. This pivotal role involves leading the development of business intelligence solutions and empowering users … maintain workflows and process automation. Support digital transformation projects. Required Skills & Qualifications: 5+ years’ experience as a business intelligence developer, data engineer or in a related role. Proficiency with SQL Management Server, SSRS, SSIS, and other related systems. Experience with Microsoft Azure stack and technologies such as ADF, Logic Apps, Data Lake, Data Bricks, Power Query, etc. Experience in low More ❯

role, with a track record of consistent achievement and seeing projects through to completion. A strong academic background (degree qualification, 2:1 or higher). Expertise in constructing complex SQL queries for data extraction. A flair for translating intricate data into compelling visual narratives. Understanding of data warehousing concepts and ETL processes. Demonstrated ability to create effective dashboards and reports … across various systems. Advanced proficiency in Microsoft Excel, with familiarity in data query tools (e.g., Access, SQL, Power BI). Familiarity with statistical methods for deriving data-driven conclusions. A highly analytical mind, capable of financial modelling and commercial analysis that adds measurable value. Exceptional communication skills, adept at conveying complex information to non-technical audiences. A self-motivated and More ❯

Implementing Best Practices And Coding Standards In .Net Development, Ensuring High-Quality Outputs From The Team. 2. Develop And Enhance Team Capabilities By Mentoring Members In .Net, C#, And Sql Server Technologies, Fostering Growth And Increasing Overall Productivity. 3. Ensure Process Compliance In Assigned Modules By Participating In Technical Discussions And Reviews, Acting As A Consultant For Feasibility Studies Involving … Escalations And Ensuring Transparent Communication With Stakeholders. Skill Requirements 1. Proficiency In .Net Framework And .Net Core 2. Strong Knowledge Of C# Programming Language 3. In-Depth Understanding Of Sql Server And Database Management 4. Familiarity With Software Development Methodologies, Including Agile And Devops 5. Excellent Problem-Solving Skills And Ability To Think Critically Certification 1. Optional But Valuable: Microsoft … with a strong focus on backend services and data access layers. - Proven experience in migrating legacy systems, especially from Oracle to PostgreSQL or similar. - Strong understanding of PL/SQL and experience translating stored procedures into application logic. - Familiarity with PostgreSQL, including performance tuning and SQL dialect differences. - Experience working in hybrid environments where legacy and modern systems coexist. - Comfortable More ❯

Implementing Best Practices And Coding Standards In .Net Development, Ensuring High-Quality Outputs From The Team. 2. Develop And Enhance Team Capabilities By Mentoring Members In .Net, C#, And Sql Server Technologies, Fostering Growth And Increasing Overall Productivity. 3. Ensure Process Compliance In Assigned Modules By Participating In Technical Discussions And Reviews, Acting As A Consultant For Feasibility Studies Involving … Escalations And Ensuring Transparent Communication With Stakeholders. Skill Requirements 1. Proficiency In .Net Framework And .Net Core 2. Strong Knowledge Of C# Programming Language 3. In-Depth Understanding Of Sql Server And Database Management 4. Familiarity With Software Development Methodologies, Including Agile And Devops 5. Excellent Problem-Solving Skills And Ability To Think Critically Certification 1. Optional But Valuable: Microsoft … with a strong focus on backend services and data access layers. - Proven experience in migrating legacy systems, especially from Oracle to PostgreSQL or similar. - Strong understanding of PL/SQL and experience translating stored procedures into application logic. - Familiarity with PostgreSQL, including performance tuning and SQL dialect differences. - Experience working in hybrid environments where legacy and modern systems coexist. - Comfortable More ❯

Power BI & Data Visualization: Design and develop Power BI dashboards and reports that transform raw data into insightful visual artifacts. Connect and integrate data from multiple sources, including SharePoint, SQL databases, and cloud services. Utilize DAX (Data Analysis Expressions) and Power Query to create meaningful data models. Collaborate with stakeholders to understand business needs and translate them into impactful visual … and visualization best practices. Experience with SharePoint Framework (SPFx), JavaScript, TypeScript, React, and REST APIs. Strong knowledge of Microsoft 365 services, including Teams, OneDrive, and Exchange integration. Familiarity with SQL Server, Azure, and API integration for data retrieval and reporting. Experience with SharePoint security, governance, and compliance policies. Ability to troubleshoot technical issues and provide innovative solutions. Excellent communication skills More ❯

delivering data solutions using Databricks on Azure or AWS. Databricks Components : Proficient in Delta Lake, Unity Catalog, MLflow, and other core Databricks tools. Programming & Query Languages : Strong skills in SQL and Apache Spark (Scala or Python). Relational Databases : Experience with on-premises and cloud-based SQL databases. Data Engineering Techniques : Skilled in Data Governance, Architecture, Data Modelling, ETL/ More ❯

colleagues on how to best utilise dashboards and reports created in the team, creating a culture of data literacy. Profile A successful Business Intelligence Analyst should have: Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. Experience … working with cloud-based data platforms, such as Snowflake or Databricks is preferred. Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. Technical expertise in data mining, data auditing, and segmentation. Experience building reusable data models, ideally More ❯

colleagues on how to best utilise dashboards and reports created in the team, creating a culture of data literacy. Profile A successful Business Intelligence Analyst should have: · Proficiency in SQL, Excel, Power BI and DAX is essential, as these tools are integral to the role. Desirable to have knowledge and expertise in programming languages such as Python and R. · Experience … working with cloud-based data platforms, such as Snowflake or Databricks is preferred. · Expertise in using T-SQL to interrogate and extract data through complex queries and stored procedures. · A comprehensive understanding of databases, query optimisation, load monitoring, the Microsoft BI Stack and ETL frameworks. · Technical expertise in data mining, data auditing, and segmentation. · Experience building reusable data models, ideally More ❯