126 to 150 of 831 SQL Jobs in London

scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering ...

requests YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial experience in business intelligence and reporting Advanced SQL capability and hands on Power BI experience, including DAX Experience working within a collaborative BI or data team environment Confidence engaging with stakeholders at varying ...

scheduled data builds. Strong understanding of data modelling, transformations, and downstream data consumption. Experience with performance tuning for backend services or data pipelines. Proficient SQL skills for data analysis, validation, and troubleshooting. Experience working with data warehouses, data lakes, or big data platforms (e.g., Snowflake, Redshift, BigQuery, Spark). Engineering ...

data governance, metadata management and security controls What they're looking for Strong experience in Data Engineering (not just analysis) Hands-on with: Python, SQL, ETL/data pipeline tooling Experience working with large, complex datasets Understanding of data modelling, orchestration and data lifecycle management Exposure to cloud platforms ...

/CD platforms to maintain secure, observable, and high-performing environments. Relevant Skills: Essential Skills: Proficiency in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline ...

minimum 5 years of experience working with pricing. Strong commercial experience working in Pricing, with ownership of pricing analysis or pricing strategy. Advanced SQL skills and confidence working with large, complex datasets. Experience with BI tools such as Tableau, Power BI or Looker. Proven ability to run experiments or evaluate ...

Manage capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering teams; Agile/DevOps ways of working ...

Manage capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering teams; Agile/DevOps ways of working ...

support across investment systems Driving process improvements, automation, and data quality What we're looking for: 3+ years' experience in a similar role Strong SQL and confidence working with data Solid business analysis and stakeholder engagement skills Understanding of the SDLC and testing Clear, confident communication Nice to have: Asset ...

Data Architect within central government or regulated environments Strong knowledge of the Microsoft data stack , including: Azure Data Services (Synapse, Data Factory, Azure SQL, Data Lake) Power BI (enterprise reporting, semantic models, governance) Data governance and metadata management (e.g. Purview) Experience designing or integrating solutions across AWS environments Strong understanding ...

tooling - highly desirable. Experience with delivering projects using Agile & Scrum - highly desirable. Solid understanding of software development lifecycles. Knowledge of languages such as XML, SQL, JavaScript, Python, .NET and C# - desirable. Excellent benefits on offer A pension scheme of Life assurance of four times your salary ...

practices Skills and Experience • Strong programming skills in Python • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience working with SQL and large datasets • Familiarity with data pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment, and monitoring • Experience working with cloud platforms ...

data platforms and working with cloud technologies such as Microsoft Azure Good grounding in programming and data engineering languages and frameworks such as Python, SQL, Microsoft Fabric and Databricks Certifications in relevant cloud and data technologies (Azure etc.) would be beneficial Excellent communication skills and the ability to inspire confidence ...

design, microservices architecture, and cloud-native development (Azure preferred) Proven experience with CI/CD pipelines, (Docker/Kubernetes), and DevOps practices Strong SQL skills and working knowledge of NoSQL datastores AI & Automation Hands-on experience integrating LLMs, AI APIs (OpenAI, Azure OpenAI, etc.), or ML models into production applications ...

processes Strong understanding of Data Warehousing concepts and tools Ability to conduct Data Analytics and derive actionable insights Familiarity with programming languages such as SQL, Python, or similar tools Understanding of API integration and its application in data flow optimization Exceptional problem-solving skills and attention to detail Experience ...

Strong understanding of ecommerce performance metrics, onsite optimisation, and customer journey analysis Experience using Google Analytics/GA4 and/or Adobe Analytics Strong SQL and Excel capability Experience with data visualisation tools such as Tableau, Power BI, or similar Experience with testing, insight generation, and turning analysis into practical ...

professional development and staying current with industry trends. Proficient in at least two of the following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid ...

technical concepts to various stakeholders across the organization. Exceptional attention to detail and organizational skills to document requirements. Strong technical aptitude in Python, SQL, Power BI. Ability to work collaboratively with the investment team, other stakeholders, and technology teams to design and implement effective solutions. Proven experience leading delivery teams ...

communication skills. Strong diagnostic skills to identify issues within data sets and propose solutions. Proficiency in data analysis tools such as advanced MS Excel, SQL, Python, SAS, and R. Understanding of ETL, data management, and data quality best practices. Familiarity with cloud technologies and APIs. Impact You'll Make: What ...

within a globally distributed team - you don’t need someone sitting next to you to get up to speed or get things done Strong SQL skills - comfortable querying, transforming, and sense-checking data without hand-holding Experience with or enthusiasm for AI tools and workflow automation Nice to Have Background ...

from problem statements, manage priorities, and drive to production outcomes with minimal Hands-on experience with relevant data platform services and technologies, such as SQL (e.g., SQL Server/Azure SQL), Microsoft Fabric (Lakehouse/Warehouse, Data Factory), and Databricks (Spark) Advanced SQL skills and experience working with complex datasets ...

design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns ...

tuning for containerized workloads. Observability & Operations : Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability environments. Data & Performance : Data modeling, SQL/NoSQL databases, caching strategies, and performance optimization in latency‐sensitive systems. Security : Enterprise security patterns; authentication protocols, mutual TLS, secrets management, and certificate rotation. ...

tuning for containerized workloads. Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high‐availability environments. Data & Performance: Data modeling, SQL/NoSQL databases, caching strategies, and performance optimization in latency‐sensitive systems. Security: Enterprise security patterns; authentication protocols, mutual TLS, secrets management, and certificate rotation. ...

reporting and dashboards in Power BI. Advanced capability in DAX and Power Query, with a solid approach to data modelling. Good working knowledge of SQL and relational data sources. Experience working with financial data, including core metrics from income statements and balance sheets. Ability to communicate insights clearly ...