76 to 100 of 2,730 SQL Jobs in London

Strong personal ownership and accountability for data quality. Comfortable operating autonomously in ambiguous environments and making sound technical decisions. Core Data Engineering Skills Advanced SQL skills and extensive experience working with relational data at scale. Ability to design analytics‐ready data models that support historical accuracy, analytical performance, and evolving ...

. Endpoint Management: SCCM, Intune, or equivalent MDM systems. Experience building dashboards and reports with Power BI, Tableau, or similar BI tools; familiarity with SQL and data‐warehouse concepts. Solid understanding of ITIL processes (incident, change, and problem management). Excellent communication skills—able to work with both technical teams ...

Engineer role. Strong hands-on experience with Microsoft Azure data technologies, including: Azure Data Factory Azure Synapse Analytics Microsoft Fabric Azure Data Lake Advanced SQL development skills. Proficiency in Python and modern data pipeline orchestration tools, including their monitoring and automation. Track record of building reliable, monitored production-grade data ...

delivery artefacts for technical and non-technical audiences.Skills Required:Substantial experience in a senior data analyst, data-focused business analyst or comparable role.Advanced SQL skills and a strong track record of analysing large, complex datasets.Hands-on experience of source-to-target mapping, data profiling, lineage analysis and reconciliation.Strong understanding ...

communicate effectively with engineering and non‐technical stakeholders. Bachelor’s degree in a relevant discipline or equivalent practical experience. Desirable Experience Strong hands‐on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. Experience with AWS services, APIs, event‐driven integration and infrastructure ...

artefacts for technical and non-technical audiences. Skills Required Substantial experience in a senior data analyst, data-focused business analyst or comparable role. Advanced SQL skills and a strong track record of analysing large, complex datasets. Hands-on experience of source-to-target mapping, data profiling, lineage analysis and reconciliation. ...

profiles focused only on ETL. However, we will consider candidates who bring Cloud + CI/CD experience alongside technologies such as: Proficient SQL; familiarity with PySpark is beneficial dbt Microsoft Fabric SQLMesh 5. Core Engineering Skills Strong Python, with good documentation and unit testing practices Comfortable in an agile ...

with dbt - macros, Jinja templating, incremental models, seeds, testing, and packages.* Proficient in Python 3.11+ building CLI tools, data processing, and automation.* Proficient in SQL, ideally BigQuery dialect.* Experience with Google Cloud Platform especially BigQuery, Cloud Run, Cloud Functions, Cloud Storage, Pub/Sub, and Cloud Scheduler* Experience with Infrastructure ...

peers and communicate effectively with engineering and non-technical stakeholders. Bachelor’s degree in a relevant discipline or equivalent practical experience. Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. Experience with AWS services, APIs, event-driven integration and infrastructure ...

with Microsoft Dynamics 365 Finance and Operations. Experience in retail,ecommerceor fashion, particularly across commercial, buying, merchandising or supply chain. Data skills including SQL, datamodellingand platforms such as Databricks or Microsoft Fabric. Experience with responsible AI and governance, emerging agent standards such as Model Context Protocol (MCP), or ITIL based ...

lakehouses, data warehousing, ETL/ELT pipelines, orchestration, and dimensional data modelling. Hands‐on experience with modern data technologies such as dbt, Databricks, Spark, SQL, and Python. Understanding of semantic layers, data governance, and the foundations required for trustworthy AI‐powered analytics. Strong technical foundation, with experience designing or building ...

Alteryx, Power Query, Power BI/Tableau, Excel, data modelling, dashboarding, data pre-processing, application integration techniques, VBA, SSIS, Knowledge of Relational Database Model, SQL Demonstrated communication, problem solving, quantitative and analytical abilities for technology implementations and process improvements Experience in project management ABOUT GOLDMAN SACHS At Goldman Sachs ...

ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL). Graph Database Expertise : Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands‐on experience with ...

create user-friendly guides for automated tools. Experience working incross-functional teams(e.g., Finance, Technology, Sales, Marketing, Data). Additional Highly Desirable Attributes Develop SQL/Python scripts to automatically standardize and format complex, unstructured Excel files into clean, report-ready datasets. Replace manual reporting processes with scalable, automated workflows ...

production-grade data pipelines using Apache Spark (PySpark preferred). Experience delivering modern data platforms using Databricks or an equivalent Spark-based platform. Strong SQL skills and experience with data modelling. Good understanding of Lakehouse architecture and Delta Lake. Experience working with AWS, Azure or GCP. Experience implementing CI/ ...

Proven experience as a Senior Developer within a SaaS or enterprise software environment. Strong hands-on expertise in C#, .NET/.NET Core, and SQL/T-SQL. Solid understanding of database design, performance optimisation, and query tuning. Experience delivering front-end functionality using HTML, JavaScript, and Razor. Experience building ...

communicate insights effectively. Experience with LLMs, generative AI, and prompt engineering. Knowledge of MLOps tools and frameworks (MLflow, Kubeflow, Airflow). Familiarity with SQL, NoSQL, and distributed data technologies. Experience deploying AI models in production environments. Publications, patents, or open-source contributions in ML/AI. What We Offer: Competitive ...

consumers, including Market Risk, Credit Risk, Treasury, Finance, Reporting and desk tools. Design and maintain robust data schemas and serving contracts, including SQL, APIs and Kafka‐based distribution. Define data versioning and reproducibility patterns, including as‐of timestamps and run IDs, snapshots and incremental updates, with appropriate treatment of position ...

data. You’ll have/bring Essential Significant proven experience in a data analyst or business intelligence role. Strong proficiency in tools such as SQL, Python, R, Power Query M, Java and DAX Experience working with Microsoft Fabric or a comparable integrated data platform. Proven ability to independently lead ...

stay credible outside your strongest language. Our core stack is a mix of .NET/C# and TypeScript on Azure, Python and PHP, with SQL and modern data tooling. Real, evidenced experience leading agentic and AI‐assisted development in a production engineering organisation — not just personal use of an assistant. ...

seeking a data engineer to build and run data pipelines, ingesting from Oracle sources and APIs into our Oracle data warehouse. You will write SQL/PLSQL, design data models (3NF, Star, Snowflake), and develop dashboards with Power BI in an Agile team. You bring 5+ years in data engineering ...

team members on analytical techniques and project delivery. Essential Skills Prior experience in an analytical or consulting role. Proficiency in big data manipulation (e.g., SQL, Python). Experience with cloud-based software (e.g., AWS, Snowflake). Familiarity with ETL software (e.g., Alteryx). Strong Microsoft Excel skills. Strong communication skills ...

constructive feedback. Quality-focused, self-motivated, and collaborative approach to working within a team environment. Additional experience with Power BI, API integration, Azure services, SQL/Oracle databases, CI/CD practices, advanced AI agents, C#/.NET, unit testing, automation tools, or other low-code platforms would be advantageous. ...

experience as a Data Engineer, working with Azure data services. Strong understanding of data modeling concepts and relational and non-relational databases. Proficiency in SQL and experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse ...

. Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg). Advanced SQL skills and proficiency in Python. Strong background in modern software development practices (testing, code review, CI/CD, Infrastructure as Code). Extensive, progressive experience ...