1 to 25 of 996 Permanent SQL Jobs in Central London

and manage the team, maintaining strong relationships across the organisation. Implement policies, documentation, governance, and establish a Centre of Excellence for insight and analysis. Support data engineering tasks including SQL modelling, data munging, ETL/ELT pipelines, API interactions, and automation using Python. Deliver trusted, high-quality data to inform customer experience and satisfaction insights. What you can bring: Degree … in relevant field (finance, maths, physics, or similar). Additional qualifications (MBA, CFA) are a plus. Proficient in SQL, R or Python, data visualisation, statistical programming, and data science techniques. Strong understanding of data warehousing, data mapping, logical modelling, and business analysis. Experience with Azure data tools and Power BI. Proven ability to lead and influence technical teams. Experience with … experience. Knowledge of change management and systems processes. Comfortable with cloud platforms and Microsoft stack tools like Synapse, Databricks, Azure Data Factory, and Azure DevOps. Programming experience in Python, SQL, T-SQL, and SSIS. Understanding of ELT/ETL processes, RESTful APIs, and integration concepts. What’s in it for you? A collaborative, innovative culture where your work makes an More ❯

users and stakeholders, supporting the firm's business objectives in a collaborative environment that values diversity, equity, and inclusion. You will design, develop, and maintain applications using Python and SQL, build ETL/ELT pipelines, design and implement user interfaces, and architect cloud-based solutions on AWS. Job responsibilities Execute software engineering solutions, including design, development, and technical troubleshooting with … a professional software engineering role. Experience developing software engineering solutions for workflow automation. Strong proficiency in Python, with a deep understanding of object-oriented programming principles. Strong proficiency in SQL, with experience of building data pipelines, data models, and data transformation within data warehouses, knowledge of tools such as DBT is desired. Experience with front-end technologies, such as HTML5 More ❯

support data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log analysis and … and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in Power BI desirable. Knowledge of programming (e.g., C# .NET, PowerShell, Python More ❯

support data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log analysis and … and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in Power BI desirable. Knowledge of programming (e.g., C# .NET, PowerShell, Python More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

to the company’s success. There are opportunities for professional development, such as training programs, certifications, and career advancement paths. KEY RESPONSIBILITIES Design, develop, and maintain scalable data pipelines SQL, Azure ADF, Azure Functions, DBT Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions Optimising and cleaning of data warehouse, cleaning existing codebase and creating … documentation. Monitor and troubleshoot data pipeline issues Provide technical support and guidance to junior team members Provide ongoing support for business applications. Provide help with data analysis using SQL, Qube, Tableau, Hubspot and excel. Perform systems analysis, business process analysis and design. Project Management, developing project plans, and monitoring performance. Monitoring deliverables and ensuring timely completion of projects. Research and More ❯

Engineering Lead, actively participating in team discussions and sharing ideas to improve platform excellence. What are we looking for? Great experience as a Senior Data Engineer. Experience with PySpark, SQL and Databricks. Proficiency in working with the cloud environment and various platforms, including Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL More ❯

Oriented design, SOLID principles, and modern design patterns - Developmentexperience in Microsoft .Net Framework and experience inFront-end JavaScript frameworks like Angular & React - Traditional Relational Database technologies like Oracle, MS SQL Server and - No SQL Databases like MongoDB or DynamoDB - SOA & Microservices architecture implementation using REST APIs, queue-based messaging patterns, exposure toMulesoft/Kong is a plus - On-premise/ More ❯

UK, PSD2) Proficiency in programming languages such as Python, Scala, or Java Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure More ❯

investment banking priorities, regulatory requirements, and data governance frameworks. Act as the technical authority for reporting solutions, providing hands-on guidance in BI tools (e.g., Power BI, Tableau) and SQL-based data modelling. Collaborate with senior stakeholders across trading, risk, finance, and compliance to translate business needs into scalable reporting solutions. Delivery Management - Lead the end-to-end delivery of … capital markets. Proven track record of delivering regulatory and operational reporting solutions in a complex, high-volume environment. Deep expertise in BI tools (Power BI, Tableau, Qlik) and strong SQL/data modelling skills. Solid understanding of investment banking products (e.g., derivatives, fixed income, equities) and trade lifecycle. Experience with cloud-based data platforms (Azure, AWS) and modern data architectures. …/visualisation platforms and the managing of confidential/sensitive data/reporting. Extensive experience in database management systems for modelling and extraction of data for reporting purposes (e.g., SQL, NoSQL). Exceptional communication skills to explain and gain buy in for standards and designs from other analyst developers in the team and other stakeholders. Collaborative and curious practices to More ❯

and inquisitive mind, and an openness to new ideas; Professional integrity and a respect for company values. Other requirements Essential Proven experience working in Data Engineering. Proven experience with SQL, SSIS and SSAS. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Self … locations. Proven experience with understanding business requirements and translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

play a pivotal role in envisioning how these upgraded dashboards can leverage the capabilities of the Data Lake, maximizing data accessibility and relevance. Experienced desired: • Experience of working with SQL, data and databases to explore data. • Proven experience in designing and developing interactive dashboards and reports using PowerBI, Tableau, QlikView or another similar platform. • Familiarity with data warehousing concepts and … cloud platforms (e.g., Azure, AWS). • Proficient in SQL for data manipulation and extraction. • Experience of working with big data storage solutions, such as Data Warehouses and/or Data Lakes. • Experience of generating internal and external reports for regulatory bodies. • Higher Education domain experience, specifically with Student Systems such as SITS. • Experience with collecting stakeholder requirements, understanding them and More ❯

methodology • Design and deliver quality solutions independently • Leading a team of Data Engineers and deliver solutions as a team Key skills/knowledge/experience: • Proficient in PySpark, Python, SQL with atleast 5 years of experience • Working experience in Palantir Foundry platform is must • Experience designing and implementing data analytics solutions on enterprise data platforms and distributed computing (Spark/… transforming customer requirements into a best-fit design and architecture. • Demonstrated experience in end-to-end data management, data modelling, and data transformation for analytical use cases. • Proficient in SQL (Spark SQL preferred). • Experience with JavaScript/HTML/CSS a plus. Experience working in a Cloud environment such as Azure or AWS is a plus. • Experience with Scrum More ❯

of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/… data modeling techniques (e.g. dimensional, star/snowflake schemas) and analytics layer design to support business intelligence and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality … AWS, Azure, or GCP, and working with data warehouse/lakehouse technologies such as Snowflake, BigQuery, Redshift, or Athena/Glue. Essential: Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases. Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding. More ❯

tools like Great Expectations or Soda to ensure the accuracy, reliability, and integrity of data throughout its lifecycle. Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI … Actions Tuning and optimizing data processes Qualifications Required Qualifications: · Bachelor's degree in Computer Science or a related field. · Proven hands-on experience as a Data Engineer. · Proficiency in SQL (any flavor), with experience using Window functions and advanced features. · Excellent communication skills. · Strong knowledge of Python. · Familiarity with Azure Services such as Blobs, Functions, Azure Data Factory, Service Principal … using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). More ❯

Business Intelligence Engineer Hybrid – London Up to £450 a day Inside IR35 6 Months Key Skills: Business Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior … downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code More ❯

knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over … profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal More ❯

reporting Ensure data quality, compliance, and adherence to governance standards 🧠 What You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and More ❯

platforms and back-office systems (e.g. Finance, HR, CRM). Core skills and experience: Proven experience designing scalable data architectures in cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access More ❯

Social network you want to login/join with: Data Architect (GCP), london (city of london) col-narrow-left Client: Anson McCade Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right More ❯

Entity Relationship Diagrams (ERDs) for data models from the bronze layer upwards, promoting self-service analytics and data literacy. Technical Leadership & Excellence: Act as a subject matter expert in SQL (Postgres, Cloud SQL, BigQuery, Redshift), driving performance optimization and complex query development. Drive the adoption of best practices for dbt development, including modularity, testing, and documentation, across the team. Influence … project management and timely delivery of business value. Mentor and provide technical guidance to more junior Analytics Engineers, fostering their growth and development. Qualifications Core Technical Skills: Expert in SQL (Postgres, Cloud SQL) with proven ability to optimize complex queries and design robust data structures. Exceptional knowledge and extensive experience with dbt for designing, building, and optimizing complex enterprise-level More ❯

BI dashboards and reporting solutions. Assist with modernising and automating legacy processes. Play a key role in the design, testing, and deployment of new data solutions. Technology Stack: Azure SQL, SSIS, Power BI, PowerShell 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, or data-critical environment preferred — though not essential. A collaborative mindset, strong communication skills, and genuine enthusiasm for data. This is an ideal role for someone who More ❯

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 ❯

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 ❯