126 to 150 of 4,443 SQL Jobs in London

Data Engineer or comparable senior technical leader. Advanced, hands-on Databricks experience in production environments, including lakehouse architecture, Delta Lake and relevant governance, workflow, SQL and optimisation capabilities. Proven ownership of modern data platforms or data products from architecture through production delivery and operation. Strong experience in data privacy … with batch and real-time integration, including APIs, CDC, streaming or event-driven pipelines. A strong data-engineering or software-development foundation using Python, SQL, Scala, Java and/or Spark. Deep experience with Azure data services. AWS experience is advantageous as the platform expands. Experience with governance, cataloguing, lineage ...

Data Architect experience, ideally within Financial Services or a regulated industry Strong knowledge of data architecture, data modelling, and data management principles Hands-on SQL experience Experience designing modern data platforms and cloud-based solutions Knowledge of AWS, Azure, GCP and/or Snowflake Strong understanding of data governance, data ...

Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data engineering frameworks Apply infrastructure‐as‐code and automation approaches to the deployment and management of data platforms Build data quality, validation, monitoring … data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the appropriate services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ELT pipelines and data processing workflows Good understanding of data modelling, data lakes, data warehouses and modern data ...

part of your duties, you will be responsible for: Design, build and deploy scalable data pipelines using Azure Databricks , Azure Data Factory and Azure SQL Database . Optimise Databricks environments for performance, cost and security. Develop and maintain data integration , ETL/ELT processes and data quality frameworks. Translate retail … skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex retail datasets and distributed computing environments. Proficiency in SQL, version control (e.g. Git) and CI/CD pipelines. Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge ...

feed pipeline migrations repointing from an existing Data Warehouse to a new AWS Data Lakehouse architecture, underpinned with AI ETL accelerators, Python/PySpark, SQL and YAML configs. Test initial bulk then deltas from legacy to new. Execute automated test suites as part of sprint-based delivery and regression cycles … practically applied the principles Experience in AWS cloud services, AWS Glue. Experience with Python/PySpark. Experience with writing and running SQL queries. Experience with YAML configuration. Experience with CI/CD GITHUB Actions (or similar)Knowledge of AI-driven testing solutions and automation accelerators to maximize test efficiency ...

Experience working with Microsoft Azure. Experience building and supporting production cloud applications. Good understanding of distributed systems and modern software architecture. Experience working with SQL databases and data processing. Experience with CI/CD pipelines and modern software delivery practices. Comfortable working across backend services, cloud infrastructure and APIs. Strong … pick them up and suggest alternatives.) C# .NET Aurelia, TypeScript Azure infrastructure (App Services, Function Apps, Container Apps, etc.) DDD, CQRS, Event-Driven Architecture SQL Server, PostgreSQL, and Azure Storage Service Bus Elasticsearch Redis Git, Octopus Deploy Pulumi for IaC Microservices, SOA Power BI Time-series data processing QGIS ...

firm’s modern Microsoft Fabric and Power BI architecture in collaboration with data architects and platform teams. Provide technical direction for scalable Fabric/SQL‐based data models and integration of data from Elite 3E, global EDB and other firmwide applications. Promote robust development lifecycle practices across Development … change. Experience in a law firm or other professional‐services environment. Knowledge of Elite 3E, Aderant or a comparable practice management system. Experience with SQL, Azure data services, Synapse or related Microsoft data technologies. Understanding of legal‐sector financial and performance measures such as WIP, billing, collections, utilisation and matter ...

firm's modern Microsoft Fabric and Power BI architecture in collaboration with data architects and platform teams. Provide technical direction for scalable Fabric/SQL-based data models and integration of data from Elite 3E, global EDB and other firmwide applications. Promote robust development lifecycle practices across Development … Desirable: Experience in a law firm or other professional-services environment. Knowledge of Elite 3E, Aderant or a comparable practice management system. Experience with SQL, Azure data services, Synapse or related Microsoft data technologies. Understanding of legal-sector financial and performance measures such as WIP, billing, collections, utilisation and matter ...

tools to marry systems together or try to hunt down opportunities to acquire new data from other systems. Requirements Required Skills Proficiency in SQL and NoSQL databases. Strong knowledge of Python, Java, or Scala. Experience with data pipeline and workflow management tools. The candidate must have a Bachelor's degree ...

Criteria Expertise in designing and building data intensive applications and pipelines, with an open mindset on choice of tools Strong proficiency in Python and SQL, with a focus on writing clean, performant code to process and manage large volumes of data Experience designing and implementing complex data-matching, reconciliation ...

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 ...

Google Cloud Platform. Proven commercial experience with Databricks and/or Snowflake, including the design, implementation, and optimization of data platforms at scale Strong SQL expertise and software engineering experience using Python and/or other modern programming languages. Experience developing and orchestrating data pipelines using technologies such ...

Data Scientists, Analysts, and Product teamsMentor junior data engineers and promote best practicesContribute to architectural decisions and strategic planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise ...

field; a master's degree is a plus.Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure.Proficiency in SQL, Python, and data manipulation libraries and frameworks.Strong problem-solving skills and analytical thinking.Excellent communication skills with the ability to collaborate effectively with technical ...

master's degree is a plus. Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Strong problem-solving skills and analytical thinking. Excellent communication skills with the ability to collaborate effectively with technical ...

Azure equivalents. Strong understanding of data platform architecture, data pipelines and distributed processing . Experience with relational and NoSQL databases . Strong SQL skills and understanding of data modelling and schema design. Experience with CI/CD and DevOps practices . Experience using Terraform or equivalent Infrastructure as Code technologies ...

including macros, pivot tables, functions & charts. Experience with analytical tools, such as PowerBI, Tableau, Jupyter etc, as well as Rest APIs is desirable. Scripting: SQL (intermediate as a minimum), Python. Experience in object-oriented programming a bonusExcellent analytical skills and an ability to understand technically complex problemsGood communication and written ...

data platforms such as Snowflake, Databricks, or Microsoft Fabric.* Experience applying Agile methodologies and SDLC principles to analytics, BI, or data product delivery.* Excellent SQL, data modeling, and analytical problem-solving skills.* Experience with modern BI and visualization platforms such as Power BI, Tableau, or Looker.* Exceptional communication and stakeholder ...

controlsSkills: Strategic thinker with curious mindset and strong problem-solving skills Ability to communicate complex concepts in a clear, concise manner Languages: Terraform, Python, SQL, PowerShell. CI/CD: Azure DevOps pipelines for data platform deployments. Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow. Azure: ADLS Gen2, Azure Data ...

business-oriented way, influence action, and follow up on progress with senior and non-technical audiences. Excellent MS Excel skills are a must; intermediate SQL skills are required. Tableau/Power BI skills are required; experience with Python, or R is a plus. Benefits & Perks 25 days’ annual leave plus ...

delivery. Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments using Python and PySpark. Able to write and optimize complex SQL queries on large data sets. Strong data modeling and warehouse design fundamentals. Strong software engineering fundamentals: clean code, DRY, SOLID, automated testing, CI/ ...

/SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake) Storytelling: Confidence building ...

robust data engineering solutions. Key Responsibilities Design, develop, and optimize data pipelines and data modelsusing Snowflakefor enterprise analytics and reporting Write and optimize complex SQL/PL‐SQL queries, procedures, and transformationsto support large‐scale data processing Build and optimize enterprise data warehouse solutions on Snowflake. Develop data ingestion, transformation … orchestration workflows using Python, PySpark, and Airflow. Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake. Implement scalable cloud‐based data solutions leveraging AWS services. Ensure data quality, governance, security, and compliance across the data platform. Perform query tuning, performance optimization, and cost optimization within ...

interpret data from multiple sources to support business decision-making. Design, develop, and maintain Power BI reports and semantic models. Write efficient, scalable SQL queries to support reporting. Deliver insights and recommendations that help stakeholders understand trends, performance, risks, and opportunities. Collaborate with technical and non-technical teams to promote … skills: Power BI End-to-end development of Power BI solutions, including: Data ingestion and transformation (Power Query) Data modelling DAX development and optimisation SQL & Data Analysis Strong SQL development skills, including query optimisation and troubleshooting. Solid understanding of relational database design and data modelling principles. Experience analysing large ...