951 to 975 of 8,355 SQL Jobs

automation and integration tasks, leveraging the enterprise-scale integration tools in the Azure tech stack (including Azure Logic Apps, Azure Functions and Azure SQL) and Microsoft System Center Orchestrator. Create and maintain optimal integration solutions, including data integration architecture, and support our current integrations. Manage, review, monitor and report … associated management tools. Familiarity with other Microsoft System Center products (e.g. SCCM). Desired Azure Active Directory (Microsoft Entra ID). On-premises SQL services: SQL Server Integration Services (SSIS), Analysis Services (SSAS) and Reporting Services (SSRS). A successful history of using DevOps best practices, including backlog management, source ...

collaboratively with others; Specific knowledge of business intelligence tools, information analysis, data management and reporting, along with coding and automation abilities (examples such as SQL, VBA, QlikView, Power BI, Data warehousing, Python, etc) Experience in gathering and analysing information and requirements and proficient in the use of MS Office … different systems or sources. In depth specialist experience working as an analyst or analytics lead within a healthcare intelligence or reporting environment Reporting using SQL and SQL based tools on relational databases Experience of using or creating benchmarking/comparative analysis. Experience of training people how to use software/ ...

consumer product experience Investigate product metrics to uncover trends, issues, and opportunities Build, update, and maintain dashboards to track KPIs and present insights Write SQL queries to extract and analyze data from our data warehouse Support the development of basic models or analytical frameworks to understand user behavior Collaborate with … high-autonomy environment. 1–2+ years of experience in a data analyst, BI analyst, or data-related role (internships and project work count) Solid SQL skills (BigQuery experience is a plus) Familiarity with Python or R for data analysis Experience building dashboards or visualisations (e.g., Looker, Grafana, Tableau) Understanding ...

building new solutions and improving existing ones. Depending on the work underway, you might spend more time in Snowflake and SQL, or more time working with Python, APIs and AWS. We’re also starting to experiment with AI tooling and agentic workflows across the data platform. This is still … answer quickly Contribute to experiments with AI-assisted development and agentic tooling where it can improve data engineering workflows Skills and Requirements Strong SQL and Python skills 3+ years of experience building data pipelines, integrations or similar production data systems Experience working with a cloud data warehouse, ideally Snowflake Experience ...

tools to improve work outcomes, with examples you can talk through. Strong analytical and problem-solving skills. Experience working with large operational datasets. SQL and data interrogation capability. Advanced Excel skills. Experience analysing ERP transaction data, ideally within Microsoft Dynamics 365 Business Central. Power BI or equivalent business intelligence tools. … tools to improve work outcomes, with examples you can talk through. Strong analytical and problem-solving skills. Experience working with large operational datasets. SQL and data interrogation capability. Advanced Excel skills. Experience analysing ERP transaction data, ideally within Microsoft Dynamics 365 Business Central. Power BI or equivalent business intelligence tools. ...

maximise understanding of customer behaviour and provide impactful insights and recommendations. You'll take responsibility for delivering end-to-end analytical projects, using SQL to interrogate large datasets and combining multiple sources including Sainsbury's transactional data, ranging data and customer profiling information.You'll build your analytical and technical expertise … such as customer journeys, segmentation, ranging, promotions and campaign effectiveness. You'll be expected to work confidently with large datasets, developing efficient and accurate SQL solutions to answer complex business questions.You’ll take a proactive role in delivering increasing revenue for Nectar360, such as experimenting with new methods and data ...

on. Model our most important customer and commercial entities so the business works from one trusted version of the truth. Engineer solutions in Snowflake, SQL, Python and modern transformation tooling such as dbt. Raise the bar on testing, data quality, observability, version control and CI/CD, and make good … technical maturity of the whole platform. About You Essential Substantial data engineering experience in a sophisticated, production-scale environment. Deep, hands-on expertise in SQL and Python. Strong Snowflake experience, or equivalent depth in another modern cloud data platform. A proven track record designing ELT and ETL pipelines and analytical ...

automation programs (preferably in financial services). Strong proficiency in Python for data engineering and automation. Hands‐on experience with PySpark and Spark SQL in production environments. Solid knowledge of Hive, Impala, HDFS, and Parquet. Advanced SQL skills; experience with Oracle databases. Experience designing and supporting ETL/ELT pipelines ...

Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards. Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs. Translate business, technical, security, and governance requirements into Databricks … engineering, platform engineering, or technical solution delivery. 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations. Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology ...

Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards. Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs. Translate business, technical, security, and governance requirements into Databricks … engineering, platform engineering, or technical solution delivery. 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations. Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology ...

Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards. Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs. Translate business, technical, security, and governance requirements into Databricks … engineering, platform engineering, or technical solution delivery. 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations. Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology ...

Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards. Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs. Translate business, technical, security, and governance requirements into Databricks … engineering, platform engineering, or technical solution delivery. 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations. Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology ...

Design and manage Unity Catalog structures, including metastores, catalogs, schemas, external locations, storage credentials, access controls, lineage, and metadata standards. Define compute, cluster policy, SQL warehouse, job orchestration, runtime, and workload management patterns that balance performance, cost, security, and delivery needs. Translate business, technical, security, and governance requirements into Databricks … engineering, platform engineering, or technical solution delivery. 3+ years Databricks hands-on experience designing, implementing, or administering Databricks environments (architecting), including workspaces, jobs, clusters, SQL warehouses, notebooks, repos, and platform configurations. Ability to quickly develop fluency in utility business processes, data models, source systems, regulatory requirements, and operational terminology ...

their needs and your technical skills and experience. You might: Build dashboards in a tool like Looker Studio, Power BI or Amazon QuickSight Write SQL queries to transform data into a form useful for further analysis or visualisation Use SQL (or optionally Python) to analyse data Work with others with … work in the UK and will have resided in the UK for at least 5 years. Qualifications SQL. You have used more advanced SQL (for example, complex joins between combinations of tables and CTEs, analytic functions, regular expressions, scripting and/or arrays/nested data) for data analysis. Data ...

Azure, GCP, Databricks. Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment Proficient in SQL and SQL extensions for analytical queries Solid understanding of ETL/ELT data processing pipelines and design patterns Aware of key features and pitfalls of distributed data ...

collaboratively with others; Specific knowledge of business intelligence tools, information analysis, data management and reporting, along with coding and automation abilities (examples such as SQL, VBA, QlikView, Power BI, Data warehousing, Python, etc) Experience in gathering and analysing information and requirements and proficient in the use of MS Office … different systems or sources. In depth specialist experience working as an analyst or analytics lead within a healthcare intelligence or reporting environment Reporting using SQL and SQL based tools on relational databases Experience of using or creating benchmarking/comparative analysis. Experience of training people how to use software/ ...

their needs and your technical skills and experience. You might: Build dashboards in a tool like Looker Studio, Power BI or Amazon QuickSight Write SQL queries to transform data into a form useful for further analysis or visualisation Use SQL (or optionally Python) to analyse data Work with others with … least 5 years. Qualifications Well assess the following skills during the application process: SQL. You have used more advanced SQL (for example, complex joins between combinations of tables and CTEs, analytic functions, regular expressions, scripting and/or arrays/nested data) for data analysis. Data visualisation. ...

Fund Administration, ETFs, IBOR, ABOR, and financial reporting. Technical Skills Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure ...

controls. Lead finance transformation initiatives focused on digitalisation, reporting automation, process optimisation and continuous improvement utilising technologies including Microsoft Fabric, Azure Cloud, Power BI, SQL, Python, and R. Establish governance around finance master data, reporting standards and system documentation. Provide leadership for finance technology projects, ensuring successful delivery against quality … analytics platforms including Power BI, SAP reporting tools and a good working knowledge of technologies such as Microsoft Fabric, Azure Cloud, Power BI, SQL, Python, and R. Experience working within Life Sciences, Healthcare, Manufacturing or other regulated multinational environments. Deep SAP functional knowledge with the ability to translate business requirements ...

Snowflake to build data pipelines Integrate various JavaScript libraries such as React to deliver seamless user experiences Design data models and persist data to SQL Server Use T‐SQL to manipulate and transform data Utilize Kafka and SQS for messaging Improve search using Apache Solr Build caching layers using Redis ...

optimise data pipelines on AWS to collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing "bring your own stream" pipelines.Develop … APIs and services with FastAPI.Hands-on experience with Infrastructure as code with Terraform.Containerisation with Docker.Data-engineering fundamentals: working with Parquet, Hive-partitioned datasets, and SQL against large tables (Athena/Presto). Solid working knowledge of the PyData stack — pandas and NumPy for data manipulation, Jupyter for experimentation, matplotlib/ ...

optimise data pipelines on AWS to collect, transform, and serve large datasets. Work extensively with S3 (Hive-partitioned Parquet data lake), Athena for SQL querying and analysis, DynamoDB for low-latency caching, and Kinesis/SQS for streaming and queue-based integration — including customer-facing "bring your own stream" pipelines. … services with FastAPI.Hands-on experience with Infrastructure as code with Terraform. Containerisation with Docker. Data-engineering fundamentals: working with Parquet, Hive-partitioned datasets, and SQL against large tables (Athena/Presto). Solid working knowledge of the PyData stack — pandas and NumPy for data manipulation, Jupyter for experimentation, matplotlib/ ...

standards within a collaborative team environment. Key Responsibilities Develop, and enhance enterprise‐level software solutions using C#, .NET/.NET Core, Razor, Web API, SQL Server, HTML, and JavaScript. Work closely with Product Owners, testers, UI/UX specialists, and Engineering colleagues to deliver new functionality, improvements, and integrations with … developing software within a SaaS, enterprise software, or similar environment. Strong experience developing applications using C# and .NET/.NET Core. Good understanding of SQL and relational databases, with experience writing and optimising queries. Experience building web applications using HTML, JavaScript, and Razor or similar front‐end technologies. Experience working ...

indirect tax impact of findings identified during testing. A day in the life Basic Qualifications - Experience with data analytics platforms (Power BI, Python, SQL, Tableau), or experience working with Excel, reporting tools, and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau - Bachelor's degree ...

enhance affiliate dashboards and reporting suites across Power BI and Sigma, ensuring accurate, reliable, and scalable performance reporting.Extract, manipulate, and analyse large datasets using SQL and other analytical tools, developing robust data models and validating data quality across multiple sources.Partner closely with Affiliate, Marketing, Commercial, Finance, and Data teams … across the affiliate analytics function.QualificationsYou Have:At least 3 years of experience in analytics, business intelligence, or closely related roles.Expert-level Snowflake proficiency and SQL skills with a strong command of advanced analytical patternsExpert visualisation skills and report and dashboard building, preferably in Power BI and SigmaHands-on experience with ...