226 to 250 of 7,706 SQL Jobs in London

manual and automated testing for new data solutions Engaging directly with stakeholders to gather reporting requirements and resolve ad-hoc data queries Key skills & experience include: Strong experience in SQL Server/Azure SQL Proficiency in ETL processes and Microsoft SSIS or Azure Data Factory Experience working with Microsoft Excel and Power Query Knowledge of Power BI and DAX for More ❯

and grow your skillset. Qualification : BSc or MSc degree in Computer Science, Data Science or a related technical field Python or Javascript development experience(C# Experience is a plus) SQL experience (No-SQL experience is a plus) Experience : 3+ years Experience in Data Engineering Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms More ❯

and grow your skillset. Qualification : BSc or MSc degree in Computer Science, Data Science or a related technical field Python or Javascript development experience(C# Experience is a plus) SQL experience (No-SQL experience is a plus) Experience : 3+ years Experience in Data Engineering Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms More ❯

extensive travel and will involve spending time working on Client sites both in London and the EMEA region. What we value Experience in at least one major DBMS (MS SQL Server or Oracle), including installation, configuration and development. Multi-tier application point Good knowledge and experience of PL/SQL or TransactSQL (MS SQL Server) Complex SQL Debugging and optimization … System interfacing and integration Proven, substantial development experience in Java and/or C#. Development experience in some or all of the following would be an advantage Web Services SQL Server Reporting Services (SSRS) XML Messaging Excel VBA Perl .NET Exposure to working in Financial services; front- or middle-office, or fund management business areas ideal Experience dealing with users 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 … Relevant experience & education 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 ❯

Data Engineer who can proactively work with key business stakeholders and IT to ensure we deliver solutions that meet their needs. The individual will have extensive experience in Microsoft SQL and ETL practices. The successful individual will need to have experience working within a fast paced, agile and dynamic working environment ideally with experience gained within an MGA or insurance … MI team to ensure data is accurately represented in dashboards and reports. Builds knowledge and expertise of DUAL systems. Works collaboratively with internal and external stakeholders. Key requirements Extensive SQL and ETL knowledge (10+ years). Expertise to include MS-SQL Server, TSQL, ADF, Azure Databricks, Python, Data Lake. Insurance MI or reporting experience. Nice to Have – Data Warehouse, PowerShell More ❯

with engineering teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering or Data … a high-risk environment and meet challenging deadlines and targets • Ability to communicate clearly with end users, development managers and other stakeholders • Proficient in database query languages such as SQL • Proficient in Data Visualization with tools such as Tableau, PowerBI • Proficient in prescriptive analytics using tools such as Alteryx • Experience with using multi-dimensional data modeling/data warehousing for 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 ❯

across multiple stakeholders and managing complex datasets to provide valuable insights. Key Responsibilities Develop and maintain dashboards and reports in Power BI to support business needs. Write and optimize SQL queries (views and select statements) to transform and extract data efficiently. Design and implement ETL processes to ensure clean and structured data pipelines. Utilize Python for data analysis, automation, and … Required Skills & Experience 3+ years of experience in a data analyst or similar role. Strong skills in Power BI, including report/dashboard development and DAX calculations. Proficiency in SQL, including writing efficient queries for data transformation and analysis. Experience with ETL tools and processes, ensuring efficient data extraction and transformation. Experience with Power Automate for workflow automation. Strong problem More ❯

given to business background and acumen An understanding of BI and/or Data Warehousing concepts and methodologies, and experience using major Business Intelligence tool(s) Confident ability in SQL and Tableau Good oral and written communication skills, with a demonstrated ability to build positive, productive interpersonal relationships with stakeholders Ability to create and present analyses and reports. As well … the global BI team to deliver key business objectives Degree in Business Analytics or Technology, Computer Science, Math, Statistics or equivalent experience You will need to have: Proficiency in SQL, Tableau (or other Visualisation tool) and R or Python. Deep expertise in the analysis of traffic across a wide variety of digital channels, and the production of complex attribution models More ❯

and also guide other team members around its development/management Qualifications and experience we consider to be essential for the role: 5+ years of experience in Data Engineering: SQL, DWH (Redshift or Snowflake), Python (PySpark), Spark and associated data engineering jobs. Experience with AWS ETL pipeline services: Lambda, S3, EMR/Glue, Redshift(or Snowflake), step-functions (Preferred) Experience … Skillsets: Ability to develop, enhance data models and identify ETL optimization opportunities. Exposure to ETL tools is going to help in the work Should have strong grasp of advanced SQL functionalities (joins, nested query, procedures, PL/SQL) Strong grasp of python libraries and concepts around PySpark, Numpy, Pandas, functions, constructors etc Strong ability to translate functional specifications/requirements More ❯

Sales Intelligence Director. In this position you’ll be spearheading data analysis initiatives and fostering strong stakeholder relationships. Your role will center on leveraging your expertise in relational databases, SQL, and an array of business intelligence tools such as Salesforce, Tableau, Domo, and Power BI to drive impactful insights and strategic decision-making across the EMEA region. This is your … analysis and stakeholder management Prior experience in the sales or marketing analytics domain Working knowledge of Saleforce Strong knowledge of PowerBI, Tableau or similar BI tools Strong proficiency in SQL and Python or another OOPS language for data extraction, transformation, and analysis Strong interpersonal, written, and verbal communication and presentation skills with the ability to effectively communicate complex concepts and More ❯

cross-functional stakeholders to gather requirements and ensure the successful delivery of BI solutions. To be successful in this role, it would be great if you have: Familiarity with SQL and data integration techniques. Experience with Azure services (e.g., Azure Data Factory, Azure SQL Database). Knowledge of Python or R for data analysis. Familiarity with Agile development methodologies. Experience More ❯

Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop … be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills And Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured More ❯

data analytics role, ideally within private equity, investment management, or financial services. Expert-level proficiency in Power BI, including DAX, Power Query, data modeling, and visualization best practices. Strong SQL skills; familiarity with Python or R for data analysis is a plus. Experience or keen interest in AI/ML tools, such as automated forecasting, NLP, or machine learning platforms. More ❯

scalable data pipelines to serve the easyJet analyst and data science community. · Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. · Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploymachine learning models and algorithms aimed at addressing specific business challenges and opportunities. · Coach … and software deployment automation with GitHub actions or Azure DevOps. · Experience in testing automation of data transformation pipelines, using frameworks like Pytest or dbt Unit Test. · Comfortable writing efficient SQL and debugging. · Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. · Hands-on IaC development experience with Terraform or CloudFormation. · Understanding of ML development workflow and knowledge of More ❯

Overview We are seeking a highly skilled ML Ops Engineer to join our growing data team. This role is critical in designing and implementing robust, scalable, and efficient data systems that power analytics, machine learning models, and business insights. The More ❯

work with senior stakeholders and communicate complex ideas clearly. Experience in finance or risk analytics is a plus. Technical Skills: Advanced Excel (including VBA) Power BI and Power Query SQL for data extraction and manipulation Python (preferred but not required) Personal Attributes: Strategic thinker with a hands-on approach to problem-solving. Strong interpersonal and communication skills. Motivated by career 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 ❯

solutions. C# (used for testing automation) Excel/Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated More ❯

Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies and More ❯

Advanced Power BI skills, including DAX, Power Query (M), and custom visuals. Strong experience in data transformation and modelling . Proven ability in data integration across multiple sources (Snowflake, SQL, APIs, Excel, etc.). Experience working in or with the defence, government, or public sector is highly desirable. Knowledge of Data Warehousing concepts and practices. Familiarity with Agile methodologies and More ❯

modern data engineering and reporting, including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to design and build well-structured, maintainable systems. Strong communication skills 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 ERP or EPM experience e.g. SAP, Oracle, OneStream, Tagetik etc What We Look For We are looking for knowledgeable technical professionals that are proactive and self-motivated who have More ❯