1 to 25 of 386 SQL Jobs in London

role We are looking for a hands-on Senior Data Architect who is equally comfortable designing the target state for a multi-system SQL data estate, writing and tuning the T-SQL that delivers it, and standing up the security, monitoring and operational practices that keep it running. You will … warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting estate from SSRS to Power BI. You will set the technical direction for the data team ...

Data Engineer London - Hybrid £65,000 - £75,000 Azure Data/SQL/Financial Services I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial … office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball ...

domain experience in logistics and supply chain, with an understanding of complex warehousing setups Essential expertise in Oracle Database performance troubleshooting, Advanced PL/SQL, standard SQL, and Shell Scripting Strong hands-on knowledge of Linux Operating Systems and Cloud Console Management (AWS or Azure) Demonstrated experience leading large … experience in the following: Blue Yonder, JDA, WMS, Dispatcher, Warehouse Management System, Technical Lead, Technical Architect, Solutions Architect, Application Support Lead, Oracle, PL/SQL, SQL, Shell Scripting, Linux, AWS, Azure, ITIL, Incident Management, Root Cause Analysis, Supply Chain Technology, Logistics, Agile, Release Management, iReports TPBN1_UKTJ ...

domain experience in logistics and supply chain, with an understanding of complex warehousing setups Essential expertise in Oracle Database performance troubleshooting, Advanced PL/SQL, standard SQL, and Shell Scripting Strong hands-on knowledge of Linux Operating Systems and Cloud Console Management (AWS or Azure) Demonstrated experience leading large … experience in the following: Blue Yonder, JDA, WMS, Dispatcher, Warehouse Management System, Technical Lead, Technical Architect, Solutions Architect, Application Support Lead, Oracle, PL/SQL, SQL, Shell Scripting, Linux, AWS, Azure, ITIL, Incident Management, Root Cause Analysis, Supply Chain Technology, Logistics, Agile, Release Management, iReports ...

across: Building data pipelines using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Developing data models and analytics solutions Power BI development ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps and Git CI/CD and production deployments Supporting existing Synapse … Fabric depth and longer-term ownership , rather than simply meeting an arbitrary number of years. Youll also need experience across several of the following: SQL Data modelling ETL/ELT development Azure data platforms Azure Data Lake API integrations Git/source control Azure DevOps CI/CD Developing, deploying ...

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 ...

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 ...

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 ...

Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

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 ...

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 ...

held, not eligibility Essential Requirements Core data engineering Strong commercial data engineering background, building and running production pipelines end to end Excellent Python and SQL Solid grasp of data modelling, warehousing and lakehouse concepts Hands-on with orchestration (e.g. Airflow, Dagster) and distributed processing (e.g. Spark) Experience with cloud data ...

insights and recommendations for senior stakeholders. Essential Skills & Experience Minimum 5 years' experience in Data Analysis, Data Management, Business Intelligence or Security Analytics. Strong SQL skills and practical experience using Python or equivalent analytical tools. Strong Power BI experience, including semantic modelling and dashboard development. Experience with enterprise data modelling ...

risks and opportunities Contributing to a modern cloud-based data platform and best-practice data governance processes Your Skills & Experience Strong commercial experience with SQL and data modelling Experience working with complex, fragmented or low-quality datasets Knowledge of data quality improvement, reconciliation and master data challenges Experience building analytical ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

EXPERIENCE ESSENTIAL CRITERIA Strong experience designing, building and maintaining scalable data pipelines and integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift ...

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. Benefits What We Offer ...

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. Benefits What We Offer ...

Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. A proactive approach with strong problem ...

Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. A proactive approach with strong problem ...