801 to 825 of 8,269 SQL Jobs

sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on … quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data More ❯

sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on … quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data More ❯

sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on … quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data More ❯

sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on … quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data More ❯

sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on … quality assurance, validation and linkage. Experience creating BI models and dashboards, ideally in Power BI . Software development methodologies (Sprints/Agile) and project management software (Jira Software). SQL Server Database Databricks (or Alternative Modern Data Platform such as Snowflake) Knowledge of Orchestration Tools and processes (e.g SSIS , ODI, Informatica, Data Factory) If you are interested in this Data More ❯

to technical reviews. Requirements: 7+ years in software engineering, including 4+ years in data engineering. Strong experience with data frameworks (eg, Spark, Kafka, Airflow) and ETL workflows. Proficiency with SQL and NoSQL databases, including query optimization. Experience with cloud data services (eg, AWS Redshift, S3, Glue, EMR) and CI/CD for data pipelines. Strong programming skills in Python, Java More ❯

high-priority solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer More ❯

high-priority solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer More ❯

large datasets. Understanding of HR processes and data compliance (including GDPR). Excellent communication and stakeholder management skills. Desirable Experience in supporting HR system implementations or enhancements. Familiarity with SQL, Power Query, or data modelling. CIPD qualification or working towards one. More ❯

high-priority solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer More ❯

high-priority solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer More ❯

high-priority solutions under tight deadlines. Skills & Experience Strong Python (or OO language: Java, C#, C++) development experience. Solid understanding of data structures, algorithms, and design patterns. Experience with SQL/NoSQL, APIs, and distributed systems. Familiarity with agile methodologies and CI/CD tools. Excellent communication skills and an interest in financial markets or FX trading. Degree in Computer More ❯

large datasets. Understanding of HR processes and data compliance (including GDPR). Excellent communication and stakeholder management skills. Desirable Experience in supporting HR system implementations or enhancements. Familiarity with SQL, Power Query, or data modelling. CIPD qualification or working towards one. More ❯

large datasets. Understanding of HR processes and data compliance (including GDPR). Excellent communication and stakeholder management skills. Desirable Experience in supporting HR system implementations or enhancements. Familiarity with SQL, Power Query, or data modelling. CIPD qualification or working towards one. More ❯

high volumes of data with excellent attention to detail Knowledge of a wide range of Generative AI models and techniques Conceptual understanding of large language models (LLMs) Proficiency in SQL and Python for data manipulation and AI development Experience with cloud-native tools on Azure and AWS Familiarity with dashboarding tools (Power BI, Tableau) is a plus Strong analytical and More ❯

Requirements: Degree in Data Science, Computer Science, Statistics, or a related field. Experience in predictive analytics, data science, or AI engineering within a business setting. Proficiency in Python, R, SQL, and experience with cloud-based ML platforms such as Azure ML, AWS, or GCP. Hands-on experience with data pipeline technologies (Azure Data Factory, Spark, Hadoop) and business intelligence tools More ❯

and supporting the Back End services and infrastructure that enable scalable, secure, and high-performing web applications. Your core strengths will lie in Microsoft Azure, C#, and Scripting with SQL and PowerShell, with a strong emphasis on problem-solving and proactive development. Key Responsibilities Designing, developing, and maintaining Azure-based applications powering client-facing web solutions. Building scalable, secure, and … high-performance Back End services using Microsoft Azure and related technologies. Collaborating with cross-functional teams to deliver innovative technology solutions and exceptional client experiences. Scripting with C#, SQL, and PowerShell to support cloud-integrated applications and automation. Troubleshooting, optimizing, and enhancing the performance and reliability of cloud applications. Implementing modern development practices including CI/CD pipelines and infrastructure … The ideal candidate will possess the following: Experienced developer with strong Microsoft Azure skills, including Storage, Networking, App Services, Key Vault, and Scripting with Azure CLI. Proficient in C#, SQL, PowerShell, and familiar with APIs like OpenAPI, OAuth, and GraphQL. Strong problem-solving skills, proactive, and committed to building reliable, secure, and maintainable systems. Good understanding of security, compliance, and More ❯

and Python, delivering production-ready solutions Proven ability to independently architect, build, test, and deploy end-to-end applications with minimal oversight Deep knowledge of relational database systems-MS SQL Server and Oracle-including complex SQL query design, stored procedures, indexing strategies, and performance tuning Proficient in modern version-control workflows using Git (branching models, pull requests, merge conflict resolution More ❯

contributing to networking solutions Skill Set: Essential: · Programming & Pipelines: Proven experience building robust ETL/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external More ❯

contributing to networking solutions Skill Set: Essential: · Programming & Pipelines: Proven experience building robust ETL/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external More ❯

contributing to networking solutions Skill Set: Essential: · Programming & Pipelines: Proven experience building robust ETL/ELT pipelines using any major programming language, with a strong preference for Python · Databases & SQL: Extensive experience working with databases, SQL, and data warehouses. Familiarity with Postgres and BigQuery required. · Data Ingestion: Experience ingesting and processing data from diverse sources (databases, data warehouses, and external More ❯

complex data and translate findings into clear, actionable insights. Experience in dashboard and report development. Data Engineering - Proficiency in automating ETL processes and creating data pipelines. Preferably knowledge in SQL database architecture (implementation and management), data model design and implementation, SQL query development. Experience in designing and implementing cloud-based solutions in Microsoft Azure. Experience working with APIs and integrating More ❯

cloud environments. Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security More ❯

cloud environments. Strong proficiency in Azure Data Factory, Synapse Analytics, Databricks, and Azure SQL. Solid understanding of data modeling, ETL/ELT design, and data warehousing principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯