76 to 100 of 4,443 SQL Jobs in London

facilitate knowledge sharing within the wider team. Required Skills & Qualifications 3+ years of hands-on experience in a data engineering role Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema ...

implementing Microsoft Fabric architectures for enterprise clients. Strong consulting values with the ability to interface effectively with senior stakeholders. Hands-on experience with SQL, ETL/ELT pipelines, and BI/analytics tools. Deep understanding of the data lifecycle (ingestion, storage, processing, governance, consumption).Ability to link business objectives with ...

team.**Your Skills:*** Experience in cloud-based data engineering using Azure, AWS, or GCP, preferably with Databricks, Snowflake, or Microsoft Fabric.* Strong SQL skills and experience with Python, along with a keen interest in modern data platforms and architectures.* Good understanding of data modeling, data quality, and building reliable ...

delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus. Deep expertise in data pipeline design: batch vs. streaming ...

broader Azure data services. Spark: Deep understanding of Spark internals, distributed computing principles, optimisation techniques and features, performance tuning. Languages: Advanced Python and SQL development skills; Scala experience beneficial. CI/CD & DevOps: Azure DevOps, Git-based development workflows, Infrastructure as Code, automated testing, and deployment automation. Orchestration: Databricks Workflows ...

Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise-scale ETL/ELT, batch and streaming patterns ...

engineering, data management, project controls analytics, commercial analytics, or capital‐project data. Exceptional candidates with fewer years may be considered where they demonstrate strong SQL, Power Query/Power BI, data modeling, validation, documentation, and controlled data maintenance, with relevant exposure to cost, schedule, or project data. Advanced analytical foundation … Excel and Power Query, SQL and Power BI or equivalent tools. Demonstrated data management ability to structure, validate, reconcile, and document complex datasets from multiple sources, including ambiguous or messy source data. Strong understanding of data modeling concepts and practices, including schemas, keys, reference data, hierarchy, and lineage. Experience maintaining ...

build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve data models powering SCV, segmentation, AI features, and analytics … engineering: code generation, data profiling, documentation, and testing Implement structured logging, alerting, SLA tracking, and access control Key Technologies Cloud: Azure, AWS, or GCP | SQL (T-SQL, PostgreSQL), Python, versioned metadata frameworks DevOps: Git, CI/CD (Azure DevOps, GitHub Actions) | Monitoring: Custom logging, alerts, structured failure handling Security: Role ...

specifications across multiple functions Architect, design, cost and plan solutions that will support delivery teams as those solutions are implemented into live services. Writing SQL or Python/R scripts to analyse data Develop Subject Matter Expertise on the key data elements Responsible for liaising between business users and technologists … governance, data quality, data profiling, master data management, ETL etc... Data modelling, from contextual through to logical and physical modelling skills Very strong Excel, SQL, Python, JIRA skills Excellent communication skills, structured and organized Excellent stakeholder and management reporting skills Experience with project planning and tracking, including agile software i.e. ...

Models/Datasets Dataflows Dashboards and Reports Develop scalable dimensional data models and reporting frameworks. Integrate Power BI with enterprise data platforms including Azure SQL, Data Lake, Synapse, Fabric, and Oracle environments. Establish governance, security, audit, and reporting standards. Define and implement Row-Level Security (RLS), workspace controls, and access … Deep hands-on expertise with: Power BI DAX Power Query Semantic Models Dataflows Deployment Pipelines Power BI Administration Experience integrating Power BI with: Azure SQL Azure Data Lake Microsoft Fabric Azure Synapse Enterprise Data Platforms Strong dimensional data modelling experience. Experience designing secure and governed analytics solutions. Knowledge of data ...

data pipelines that ingest data from sources like Oracle databases, APIs, and SFTP files into our Oracle data warehouse. Write and maintain SQL and PL/SQL (Oracle 19c+) for data processing, reporting, and analytics. Help design and maintain data models (3NF, Star, Snowflake) that support reporting and downstream applications. … rotation. Work in an Agile team, contributing to planning, delivery, and continuous improvement. What You Bring Solid experience working with Oracle databases (19c+), using SQL and PL/SQL in production. 5+ years working with large datasets in a data engineering or similar role. Good understanding of data warehousing concepts ...

with AI technologies to accelerate software development and business capability is highly desirable Experience with Docker, AWS and/or Google Cloud Platform Advanced SQL (Amazon Redshift, T-SQL) and data modelling Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial ...

from messy, complex datasets and present clear, compelling visual narratives that guide executive decision-making.* **Database Management:** Write, optimize, and troubleshoot complex queries within SQL Server and Snowflake environments to ensure efficient data extraction and processing.* **Data Governance & Quality:** Champion data governance best practices, ensuring high data literacy, accuracy … Literacy & Governance:** Highly data literate with a strong grasp of data governance principles, data modeling, and master data management.* **Database Skills:** Strong proficiency with SQL, with the ability to write robust, performant queries and manage relational data.* **Programming:** Practical coding experience in Python, .NET or similar for data manipulation, scripting ...

from messy, complex datasets and present clear, compelling visual narratives that guide executive decision-making. Database Management: Write, optimize, and troubleshoot complex queries within SQL Server and Snowflake environments to ensure efficient data extraction and processing. Data Governance & Quality: Champion data governance best practices, ensuring high data literacy, accuracy … Literacy & Governance: Highly data literate with a strong grasp of data governance principles, data modeling, and master data management. Database Skills: Strong proficiency with SQL, with the ability to write robust, performant queries and manage relational data. Programming: Practical coding experience in Python, .NET or similar for data manipulation, scripting ...

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 ...

Qualifications: Strong experience with Databricks- DLT, Delta Lake concepts, UC governanceSolid understanding of streaming technologies (e.g., Spark Structured Streaming, Autoloader)Programming skills in Python, SQL, or ScalaProficiency in data modelling, ETL/ELT processes, and data architectureExperience in MS Copilot, AI Foundry , Databricks (MosiacAI, MLflow, Agentbricks, Genie)Strong analytical background ...

workstreams involving multiple stakeholder groups. Hands on experience and expertise with Power BI, Tableau or similar reporting tools. Hands on experience and expertise with SQL, exposure to Python or other data querying language. Exposure to Microsoft Copilot and Power Platform. Experience in financial services, banking, consulting, audit, operations, business management ...

patterns using Microsoft Fabric Data Factory, Data Engineering and Data Warehouse capabilities. Support the migration of existing data workloads from legacy platforms, Azure Synapse, SQL Server, Power BI or other analytics environments into Microsoft Fabric. Apply best practice across performance, security, governance, cost control and operational resilience. Produce high-quality … Power BI, semantic modelling, DAX and reporting best practice. Experience with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL, Data Lake Storage or Databricks would be advantageous. Understanding of data governance, security, access control, data quality and data lifecycle management. Ability to troubleshoot data platform ...

held. Proven experience (2+ years) in BI analysis and/or data analysis. Strong quantitative analysis skills, with proficiency in tools such as SQL, analytics platforms, and Excel – and coding skills in python (preferred) or R. Experience developing and tracking metrics for digital service performance. Ability to translate data into ...

data solutions using Fabric and Power BI Understanding of medallion architecture and modern data modelling patterns Basic experience with data transformation using SQL or Python, and ability to interpret lineage and dependencies Familiarity with Fabric deployment pipelines, Git integration and CI/CD concepts Exposure to Databricks and Azure Synapse ...

governance practices, including lineage, cataloguing, validation, and GDPR/PII compliancePartner with analytics, MarTech, and marketing teams to align data solutions with business needsRequirementsStrong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)Experience with cloud data platforms (e.g., Azure ...

lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech, and marketing teams to align data solutions with business needs Requirements Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory) Experience with cloud data platforms (e.g., Azure ...

role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools — SQL, Python, R, or advanced Excel/VBA — for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance ...

approach to problem-solving. Strong stakeholder engagement, management and communication skills. Ability to lead analytical projects from idea through to delivery and adoption. Advanced SQL skills with experience querying large datasets accurately and efficiently. Experience with cloud data platforms such as BigQuery, Google Cloud Platform or AWS. Experience building dashboards ...

essential. Experience assessing existing data management systems and recommending improvements. Experience with modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python. Experience with data engineering and pipeline technologies such as Apache Airflow and Spark. Experience working with cloud platforms, particularly AWS and Azure. Knowledge ...