701 to 725 of 15,432 SQL Jobs in England

Optimize and organize data pipelines into the visualization environment • Collaborate with business users on requirements, objectives and measures • Access and use analytical tools (various databases on Amazon’s data, SQL). • Provides input and recommendations on technical issues to data engineering team • Reviews technical work of other team members, provide improvement advice • Significantly contribute to data design, data modelling and … genuinely global environment, e.g. with USA and India A day in the life The Business Intelligence Engineer will be in charge of building high-performing analytics products relying on SQL, Excel and Tableau/QuickSight. The role will business partner across global Finance Operations to become an expert in core business processes, and will work backwards to enhance metric governance … identify and action analytical opportunities, and leverage data to build compelling business cases that influence our operations. SQL skills (Intermediate/Expert level) is a must to deliver on Job 1 in this role. About the team Global Data Analytics (GDA) is in charge of all the Finance Operations reporting across Amazon's businesses and geographies. GDA's mission is More ❯

Troubleshoot data quality issues in time-sensitive trading environments Required Skills BI development with strong Power BI (DAX, Power Query, data modeling) Data engineering experience building production pipelines Python, SQL, and Spark proficiency Experience with investment banking data (trades, positions, market data, reference data) Understanding of regulatory reporting processes Proven ability to work directly with demanding front office stakeholders Experience More ❯

to validate and refine datasets for reporting. Apply DevOps & CI/CD best practices (Git, Azure DevOps) for automated testing and deployment. Optimize Spark jobs, Delta Lake tables, and SQL queries for performance and cost efficiency. Troubleshoot and resolve data pipeline issues proactively. Partner with Data Architects, Analysts, and Business Teams to deliver end-to-end solutions. Stay ahead of … organization. Skills profile Hands-on experience with Azure Databricks, Delta Lake, Data Factory, and Synapse. Strong understanding of Lakehouse architecture and medallion design patterns. Proficient in Python, PySpark, and SQL (advanced query optimization). Experience building scalable ETL pipelines and data transformations. Knowledge of data quality frameworks and monitoring. Experience with Git, CI/CD pipelines, and Agile methodologies. Ability More ❯

office reporting. What you'll need to succeed BI development with strong Power BI (DAX, Power Query, data modeling) Data engineering experience building production pipelines Good experience with Python, SQL and Spark. Experience within investment banking and the Front Office! Understanding of regulatory reporting processes. Some financial product knowledge e.g. - equities, fixed income, derivatives would be desirable Experience on cloud More ❯

practices for data application development, engineering and analytics. Low-code Application Development: Design, build, and test custom low-code data applications to digitize and streamline business processes. Develop Foundational SQL Skills: Work under guidance to write and optimize basic to intermediate SQL queries and scripts. Maintain and enhance existing SQL Server database endpoint solutions, ensuring data and code integrity and … solutions. Gain foundational skills and understand how to build simple and efficient ETL and middleware workflows and interfaces. Intermediate Stage: Improve the skills required for day-to-day development (SQL, XML, JSON, XSLT, C#, Git, DevOps) Progress to developing more complex data applications, pipelines and interfaces. Begin to work on data modelling, application and database performance optimization. Advanced Stage: Choose … become a Senior Data Engineer focusing on designing robust data architectures and managing large-scale data solutions, or transition into a Data Analyst role where you can leverage your SQL and data processing skills to generate insights and inform business decisions. Take on leadership responsibilities, mentoring junior team members and contributing to strategic data initiatives. What you'll need to More ❯

decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross … ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join Us? Work in a fast-growth, innovation-driven environment. Be part of a diverse and inclusive team where your contributions are valued. Tackle meaningful More ❯

decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. Collaborate with cross … ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI, and Tableau. Why Join Us? Work in a fast-growth, innovation-driven environment. Be part of a diverse and inclusive team where your contributions are valued. Tackle meaningful More ❯

and build scalable real-time data applications. Spanning the full data lifecycle and experience using a mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you’ll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test … Bank’s customers. What we need you to have experience in: Coding: Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go, and SQL). Databases & frameworks: Strong experience working with Kafka technologies. Working experience with operational data stores , data warehouse , big data technologies , and data lakes . Experience working with relational and non … relational databases to build data solutions, such as SQL Server/Oracle , experience with relational and dimensional data structures. Experience in using distributed frameworks ( Spark, Flink, Beam, Hadoop ). Proficiency in infrastructure as code (IaC) using Terraform . Experience with CI/CD pipelines and related tools/frameworks. Containerisation: Good knowledge of containers ( Docker, Kubernetes etc). Cloud: Experience More ❯

or ELK stack. Experience with configuration management tools such as Puppet, Ansible and Chef. Experience with building Event-Driven applications (Kafka) and API solutions. Experience with data engineering, including SQL and NoSQL databases, and data services ecosystems (ADF, SQL DWH, Data Bricks). Experience in Distributed Data Computing and Big Data ecosystems (Hadoop, Cassandra, Teradata). Experience with designing and More ❯

hybrid/remote working. Responsibilities Analyse complex data sets to identify trends, patterns, and insights that will inform strategic decisions. Extract data from multiple sources such as APIs, CSVs, SQL, Databases. Transformation & modelling of raw data into a useable format for analysis. Design and create interactive dashboards and reports using Power BI and Excel to communicate findings to stakeholders of … data science discipline. Proven experience in data analysis or a related field with a strong proficiency in data analytics tools and software. (minimum of 3 years' experience) Proficiency in SQL for database querying and manipulation. Experience with APIs for data integration and retrieval. Advanced skills in Power BI for creating interactive reports and dashboards. Knowledge of Data Warehouse/Data More ❯

and optimising data models for front office reporting. What you'll need to succeed BI development with strong Power BI (DAX, Power Query, data modeling) Good experience with Python, SQL and Spark. Experience within investment banking and the Front Office! Understanding of regulatory reporting processes. Some financial product knowledge e.g. - equities, fixed income, derivatives would be desirable Experience on cloud More ❯

and optimising data models for front office reporting. What you'll need to succeed BI development with strong Power BI (DAX, Power Query, data modeling) Good experience with Python, SQL and Spark. Experience within investment banking and the Front Office! Understanding of regulatory reporting processes. Some financial product knowledge e.g. - equities, fixed income, derivatives would be desirable Experience on cloud More ❯

technical delivery, taking ownership for designing and building innovative data solutions. Work with a mix of cloud services (largely AWS and Snowflake), from a core of Python, PySpark and SQL, to bring together best-in-class technologies to meet our clients’ needs. Shape the development and rollout of cutting-edge analytics programmes, providing technical expertise and leadership skills. Develop and … physical data models/schemas and developing ETL/ELT scripts. Strong Python and other programming skills (Spark/Scala desirable). Experience both using and building APIs. Strong SQL background. Some exposure to big data technologies (Hadoop, Spark, Presto, etc.). Works well collaboratively, and independently, with a proven ability to form and manage strong relationships within the organisation More ❯

functional team combining Business Intelligence, DevOps, FinOps, Data Science, and Software Development; Working within Agile SCRUM methodologies and the Atlassian toolchain (JIRA, Confluence, GitHub, Git); Using Python, Java, BigQuery SQL, and Google Cloud Platform services like Cloud Build, Data Transfers, Workflows, Schedulers, and Functions to build our state-of-the-art cloud data warehouse; Utilizing dbt Cloud, Terraform, and Data … Openness to continuous learning and agility in addressing business challenges; Experience designing, developing, documenting, and maintaining software in Python and/or Java, as well as data flows in SQL; Knowledge of different Data Modeling principles and selecting the appropriate one based on consumer needs; Comfort working with Linux, Git, and Docker to extend and maintain CI/CD workflows More ❯

production deployment through CI/CD pipelines. API Development : Design and develop REST API endpoints using NodeJS and Express, and create comprehensive documentation. Database Management : Design, optimize, and maintain SQL data models, ensuring efficient structure and performance, including the development of complex queries for advanced data manipulation and retrieval. Web Application Development : Develop web applications using ReactJS, adhering to product … skills in HTML/CSS (DOM, CSS selectors, JS events). Responsive Design and Testing: Experience with responsive design and unit testing. Database Skills: Strong understanding of PostgreSQL/SQL, including the ability to aggregate and query advanced data structures such as nested arrays and objects. Soft Skills: Proactive, self-motivated, highly organized, and able to work independently in a More ❯

for version control and familiarity with modern CI/CD workflows Basic knowledge of cloud infrastructure , with experience in at least one major platform (AWS, GCP, or Azure) Strong SQL skills for efficient data management and retrieval (MySQL, Postgres) Knowledge of lending products and business processes will be a major advantage Willingness to work at least four months each year … Product, Design, QA, and other stakeholders to understand, challenge, and refine requirements Providing second-line support within business hours, troubleshooting and resolving system issues that impact customers Applying strong SQL skills to optimize data management and improve performance across our databases Implementing robust logging and monitoring strategies to gather insights, drive data-informed decisions, and continuously enhance the product What More ❯

including data manipulation and analysis using libraries such as Pandas, NumPy, and SQLAlchemy. Extensive experience with Dash framework for building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of web development concepts (HTML, CSS, JavaScript). Proficiency in data visualization libraries (Plotly, Seaborn). Solid understanding of database design principles and normalization. Experience More ❯

customer champions and ThoughtSpot Account Executives, aligning all activities to achieve mutual success. What You Bring: Proven success (3+ years) in a customer-facing analytical role. Strong proficiency in SQL, with the ability to write and optimize complex queries. Solid understanding of data modeling principles, data warehousing concepts, and ETL processes. Working proficiency in at least one scripting language (e.g. More ❯

in the future Minimum, UK college level education 3+ years of professional experience in application design and development at an enterprise level. (post-graduate) 2+ years of experience in SQL or NoSQL DB structures, experience with DB migration scripts (SQL Server, MySQL, Mongo) 1+ years of experience working in native Android development with Kotlin, Jetpack libraries e.g. Room, Hilt, Compose More ❯

encouraging knowledge sharing. What You Will Bring... Experience: 5+ years of experience in database engineering, with a focus on PostgreSQL (preferably EDB technologies). Technical Skills: Proficiency in PostgreSQL, SQL tuning, PL/pgSQL, K8/OpenShift, CNCF, and experience with performance profiling and query optimization. Familiarity with PostgreSQL extensions (like PG vector) is a plus. Problem Solving: Demonstrated experience More ❯

systems and data mining. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational More ❯

systems and data mining. Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques Proficiency in data modeling and design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational More ❯

team culture. Experience in budgeting, resource allocation, and project governance. Collaboration with cross-functional teams and senior leadership. Java, J2EE, JSP, Servlet, JavaScript, AJAX, Unix/Linux Shell Scripting, SQL, DB2, XML, JSON, DHTML, CSS Bachelor’s degree in computer science, Software Engineering, Information Technology, or related field required At least 10+ years of hands-on application development and delivery … JSP), DHTML and JavaScript Proven technology architecture skills delivery high performance and high transaction volume distributed application Experience with MVC patterned applications using Struts or Spring Experience with writing SQL including stored procedures Experience with Unix Shell and Python Scripting Strong analytical and design skills, including the ability to understand business requirements and translate them into efficient and effective technical More ❯

/or Finance within investment banking, with understanding of control needs. Knowledge of Credit and Market Risk is advantageous. Progression and consistency in career progression. Technical Skills and Awareness SQL, C#, .Net, ASP.Net, Java, JavaScript, JSP/Servlets, HTML, XML, JSON, SOAP, REST, Web, Application, SSAS, SSRS, Windows platforms. Personal Attributes Sense of urgency, resilience, and accountability. High integrity and More ❯

Strong command of Power Automate, including flow logic, custom connectors, and integration with external services Experience working with REST APIs, OAuth2/Graph authentication, and JSON schema manipulation Advanced SQL capabilities for data modelling, query optimization, and performance tuning Hands-on with Azure Document Intelligence and AI Builder tools Proficient in Power BI, including data modelling, DAX, and deployment pipelines More ❯