726 to 750 of 15,432 SQL Jobs in England

or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field - Experience using very large datasets - Experience with reporting and More ❯

like Spark and open table formats such as Delta or Iceberg. Strong experience with Azure services including Synapse Analytics, Data Factory, Data Lake, Databricks, and others. Proficiency in Spark, SQL, and Python/Scala/Java. Experience in building Lakehouse architecture using open-source table formats and tools like Jupyter Notebook. Understanding of security best practices, including Azure Key Vault More ❯

Communication & Collaboration: Excellent verbal and written English, with confidence in presenting ideas and engaging stakeholders at all levels. Technical Awareness: Basic understanding of modern technologies such as .NET, C#, SQL, APIs, and experience with tools like Azure DevOps, Figma, or Power BI is a plus. Time Management & Organization: Ability to manage multiple projects simultaneously while maintaining attention to detail. Team More ❯

like JSON, XML, and binary formats such as Avro or Google Protocol Buffers. Experience working with business and technical teams to develop Model Engineering solutions. Proficiency with tools like SQL, JavaScript, or Python for data analysis. Strong communication skills across various channels including presentations, documentation, workshops, and meetings. Preferred qualifications, capabilities and skills Knowledge of Programming Language Design and Implementation. More ❯

Experience with data analytic tools such as Alteryx Experience of the Microsoft Power Platform suite, including Power Query and Power BI A basic knowledge of database development e.g. writing SQL statements What We Look For We are looking for knowledgeable technical professionals that are proactive and self-motivated who have a willingness to learn new skills and approaches to challenges More ❯

analysis. Banking or financial services experience, accountancy knowledge, or prior experience with regulatory reporting software (Axiom SL/WKFS) would be beneficial. Additional technical skills or equivalents such as SQL, Java, Excel Data Analysis, VB/VBA, R, Python are advantageous. Proficiency with Microsoft tools like Office 365, SharePoint, Teams, Power BI. Familiarity with the Agile development model and tools More ❯

or other Javascript frameworks - Microservice architecture - C#/Java or other Object Oriented programming language experience (nice to have) - Jira/Confluence or other project managemet tools. - MySQL/SQL Databases & ElasticSearch & Redis - Cloud computing (Azure/AWS/GCP) - Rabbit MQ - Linux - REST/GraphQL - Ansible - Prometheus/Grafana/Alertmanager What We Offer Hybrid working options for flexibility. More ❯

ERP, CRM, or other enterprise systems. Experience working on global projects across multiple geographical locations is preferred. Strong analytical and problem-solving skills. Proficiency in tools like MS Excel, SQL, and data visualization software (e.g., Power BI). Proficient in JIRA/Confluence for requirement tracking and project management. Knowledge of Agile, Scrum, or Waterfall methodologies. Excellent communication skills, both More ❯

a range of projects, including data analysis, extraction, transformation, and loading, data intelligence, data security and proven experience in their technologies (e.g. Spark, cloud-based ETL services, Python, Kafka, SQL, Airflow) You have experience in assessing the relevant data quality issues based on data sources & uses cases, and can integrate the relevant data quality checks into data pipelines You have More ❯

Automation Knowledge & experience in the Financial Industry particularly in Global Markets Proficient in prescriptive analytics using tools such as Alteryx or others Proficient in database query languages such as SQL Experience with using multi-dimensional data modeling/data warehousing for data analytics and reporting Analytical, self-motivated, detail-oriented with strong problem-solving skills Ability to communicate clearly with More ❯

Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in More ❯

Commercial/Procurement Analytics. Experience in SAP (S/4 Hana). Experience with Spark, Databricks, or similar data processing tools. Stron g technical proficiency in data modelin g , SQL, NoSQL databases, and data warehousing . Hands-on experience with data pipeline development, ETL processes, and big data technolo g ies (e. g ., Hadoop, Spark, Kafka). Proficiency in More ❯

Experience with CI/CD pipelines and tools. Familiarity with agile development, Jira, Confluence. Preferred: Master’s degree or higher. Experience leading cross-functional teams. Knowledge of database modeling, SQL, and data visualization frameworks like D3.js, Plotly, Matplotlib. Interested in joining? Please apply via our online portal with your CV and Cover Letter. Remember to keep a personal copy of More ❯

or equivalent Experience as Data/Reporting Analyst within financial services Ability to develop and maintain data dashboards and reports Proficiency in data analysis tools such as Jira, Confluence, SQL, Power BI, or similar BI tools Ability to document data processes and workflows Skills, abilities, and behaviours required: Strong leadership skills with coaching ability Solid knowledge of Business Analysis processes More ❯

the software development lifecycle · A comprehensive understanding of data warehousing, extract, transform and load · Experience in data modelling · Exposure and experience of Azure data and analytics products and services · (SQL and NOSQL databases, data lake, data factory, synapse, data bricks, PowerBI, Fabric, DMD, Purview, Profisee.) · Experience of working at a senior level with technology stakeholders · Experience working with data in More ❯

Computer Science, Engineering, Statistics) Extensive previous experience in a product analytics role, preferably within a B2B SaaS environment at a fast-moving organisatrion Strong analytical skills with proficiency in SQL and data visualization tools (e.g., Power BI, Tableau, Looker) Experience with product analytics platforms (e.g., Heap, Mixpanel, Google Analytics) Ability to analyze large datasets, synthesize findings, and present them in More ❯

visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new metrics allowing better understanding of More ❯

Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of More ❯

spend, bank transfer, etc Deep understanding of customer payment behaviour and UK economic trends; adept at identifying performance drivers and solving business problems through explorative analysis. Proficient in Excel, SQL, Python/R (preferred) for data wrangling, forecasting, regression, time series analysis, and test/control group evaluation. Skilled in creating advanced reports and dashboards using Power BI, Excel, and More ❯

with various JavaScript frameworks (e.g., React, Redux, Vue, Backbone, Angular). Experience in deploying software on leading cloud computing platforms (such as GCP, AWS, Azure). Understanding of both SQL and NoSQL database technologies. Strong skills in data structures, algorithm design, and implementation. Proficiency in handling and analyzing time-series data, including its cleansing and normalization. Familiarity with Agile software More ❯

for them (trusted advisor/technical coach). Position might be filled at a higher level based on candidate experience. Qualifications Preferred Requirements: Experience with query languages such as SQL, SPL, or KQL. Experience with observability and log collectors/pipelines such as FluentBit, OpenTelemetry, Cribl, and Logstash. Experience with web technologies such as HTML, CSS, and JavaScript. Experience with More ❯

Analysis for Excel. Exposure to HANA administration, including data provisioning, data tiering, security, and performance optimization. Proficiency in ABAP development is required (programs, functions, object classes, WebDynpro). Strong SQL skills with experience in query performance tuning. Knowledge of MS Power BI, Azure Data Lake, and Data Factory is an advantage. Databricks experience is a strong plus completed by a More ❯

ready data systems Maintain clear, well-documented data infrastructure and pipelines Support technical recruitment and interviews Qualifications 5+ years of experience in backend/data engineering Strong proficiency in SQL and Python Experience building and maintaining data pipelines using tools like Airflow, dbt, or similar Proven success in managing structured and unstructured data at scale Familiarity with cloud data platforms More ❯

Power Query (M), and data modelling. · Strong track record of engaging stakeholders, capturing requirements, translating them into analytical solutions and driving adoption by business users. · Strong working knowledge of SQL and relational database structures. · Demonstrable expertise in MI usability and design to maximise adoption and use (e.g. for dashboards) · Self-starter mindset with the ability to manage and rigorously prioritise More ❯

Azure Synapse Analytics) Knowledge of data modeling and database design Exposure to Agile or DevOps environments Experience with ERP or CRM data migrations (e.g., SAP, Salesforce, Dynamics 365) Advanced SQL skills, including experience with structured and unstructured data Experience working with relational databases Familiarity with scripting languages (e.g., Python) Understanding of data quality principles and data governance frameworks Strong analytical More ❯