201 to 225 of 4,050 SQL Jobs in England

testing (pytest), and observability tooling. Strong grasp of distributed computingBachelor's degree, preferably in Computer Science, Engineering, Mathematics, or similar technical disciplineNice to haveSnowflake SQL expertiseAWS Cloud experience – Including EC2 & S3 experienceAirflow/MWAA or equivalent job scheduler experienceKubernetes, EKS, Lambda or serverless experience in AWS as beneficialMessaging layer experience ...

Trust Income System, Service Level Agreement Monitoring (SLAM). The post holder will need to demonstrate analytical skills, possess strong Structured Query Language (SQL) knowledge and be able to identify and fix any issues as they occur. About us Milton Keynes University Hospital, in proud partnership with the University … planning/contracting round Skills Essential Excellent verbal and written communication skills Sound knowledge and skills of all Microsoft Office products, Structured Query Language (SQL) Server Management Studios, and SQL Server Integration Services (SSIS) packages Excellent Excel skills Knowledge of CIVICA SLAM Numerate and able to analyse and interpret data ...

cloud-based engineering principles. It would be great if you had: Experience in Cyber Security, SOC or Security Engineering environments. Microsoft Sentinel experience. KQL, SQL or other query language knowledge. Power BI data modelling, DAX and Power Query experience. Logic Apps, Power Automate or Azure Automation. Terraform or Infrastructure ...

patterns and their appropriate use. Experience working with structured and unstructured data. Strong proficiency in one or more programming or query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar. ...

data management, ETL, data aggregation and dynamic reporting Hands-on technical experience mining and analyzing structured data with a strong working knowledge of Microsoft SQL Server, including advanced experience with SQL query building Proven experience managing client expectations and providing relevant solutions through the project life cycle Experience in creating … project estimates, project plans, proposals and retention agreements Bachelor’s degree; post-graduate degree or equivalent qualifications a plus Advanced experience working with Microsoft SQL Server, SAP, Oracle and/or other database applications Familiarity with software and tools such as SQL, Tableau, Python, SAS, ACL, VBA, Power ...

useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques. The Data Scientist shall perform ...

with industry-standard forensic applications and tools such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom and Magnet Verakey. Experience with databases, particularly SQL programming and design of relational databases. Exposure to programming, e.g., industry experience or a significant implementation project at university. Strong independent analytical and problem-solving … enhance investigation processes. Exposure to archiving, logging, and digital vault systems, e.g., Mimecast. Data visualisation experience, for example PowerBI. Scripting language experience, particularly SQL and Python. Exposure to Object Oriented programming, particularly C#, C++ or Java. What we offer you At EY,we’ll develop you with future-focusedskills ...

years of experience in financial analysis, commercial finance, or sales operations analytics. Technical Superpowers: Advanced proficiency in Power BI (DAX, Power Query) and strong SQL skills. Experience with financial planning systems or ERPs is a major plus. Analytical Mindset: Exceptional ability to synthesize large, unstructured datasets into clear commercial narratives. ...

DataOps, and MLOps, will be advantageousWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureExperience with Generative ...

leadership teams to gather requirements, challenge assumptions, translate business questions into technical BI solutions, and present actionable insights clearly. Data Management & Optimisation: Utilise strong SQL skills for data manipulation, querying, and validation while implementing robust ETL/ELT processes and troubleshooting performance bottlenecks across datasets. Champion Data Governance: Ensure high … Fabric Platform Expertise (Essential): Demonstrable hands-on experience in the operation, management, or usage of Microsoft Fabric to deliver data solutions. Advanced Power BI & SQL Skills: Expertise in DAX, Power Query, semantic modelling, report performance tuning, and writing complex SQL queries for data validation. Strong Stakeholder & Communication Skills: Confident ...

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 ...

self-service analytics for partners through well-designed reporting tools. Data Management & Tooling Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems). Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search … Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience) Significant experience in data analysis, business intelligence, or analytics roles Proficiency in SQL and Python for large-scale data analysis Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn) Experience working with ...

gain hands-on experience across a range of exciting projects, including: Developing analytics and automation solutions that support pricing decisions Using Python and SQL to analyse large datasets and generate business insights Supporting the development of machine learning and AI-driven pricing models Building and maintaining data pipelines and automated … graduates who want to build a career at the intersection of data, AI, and commercial decision-making. Essential Skills & Experience Strong Python skills Strong SQL skills Excellent analytical and problem-solving capability Ability to interpret and communicate data-driven insights Strong interpersonal and collaboration skills Interest in machine learning ...

Proven experience designing canonical data models or enterprise logical data models. Strong understanding of data modelling techniques, including conceptual, logical and physical modelling. Strong SQL skills and ability to interrogate complex relational data structures. Experience working with cloud data platforms, ideally AWS and Databricks. Understanding of modern data architecture, data … platforms. Experience with regulatory, client or operational reporting. Experience supporting data migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing delivery environments. Behaviours ...

deliver the BI strategy, roadmap and reporting standards. Design, build and maintain Power BI dashboards, reports and semantic models. Develop and maintain Azure SQL data warehouse environments and reporting datasets. Partner with stakeholders to understand reporting requirements and deliver meaningful insights. Improve data quality, governance, documentation and reporting accuracy. Automate … reporting processes and optimise data models, SQL performance and reporting efficiency. Champion best practice across data, reporting and analytics. AI, Automation & Innovation Support the development and execution of the organisation's AI and automation strategy. Identify opportunities to streamline processes and improve productivity through technology. Deliver practical AI-driven ...

Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data … Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer ...

Enable self-service analytics for partners through well-designed reporting tools. Data Management & ToolingWork with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).Ensure high standards for data quality, metric consistency, and instrumentation reliability. Collaborate with engineering to improve logging, tracking, and observability of search systems. … Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)Significant experience in data analysis, business intelligence, or analytics rolesProficiency in SQL and Python for large-scale data analysisAdvanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)Experience working with Databricks ...

analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services (AWS/GCP/Azure)Experience with Generative AI (GenAI) or agentic systems ...

business challenges Experience gathering requirements, identifying improvements and supporting business change initiatives Excellent communication and stakeholder engagement skills Experience using tools such as Excel, SQL, Power BI, Tableau, databases or other reporting and analytics platforms A proactive mindset and the confidence to work within high-profile client environments The ability ...

than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack — Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable ...

Credit Risk IT platform to meet the demands of the organisation and challenging regulatory change. The infrastructure uses a combination of technologies including MS SQL Server, C#, Python and MS Azure. The role will be focused on the development of the system using new technologies to provide innovative solutions … hands-on pricing of Derivatives, Mortgage-Backed Securities, Repos, Stock Borrow Lending and Agency lending (ALDOP)Strong C#, .Net Core Web API and SQL development experience. Experience working on large scale applications (Front to Back), Feeds capture, Processing, Pricing and Reporting. Stakeholder managementVendor managementResource planning and budgetingProject planningPractical experience ...

sourcing, storing, and delivering end-of-day (EOD) market data used in pricing and risk calculations. This role requires strong technical skills in Python, SQL, Snowflake, AWS, and deep domain knowledge of market data across multiple asset classes. The candidate will work closely with the Risk Orchestration team to provide … years of hands-on experience in developing applications using Relational Databases and Big-data platforms. TechnicalStrong Python (pandas, numpy, data engineering best practices).Advanced SQL and Snowflake (schema design, warehouse management, streams/tasks, query optimization).ETL/ELT pipeline developmentDomain KnowledgeMarket data concepts across multiple asset classes (Rates ...

Strong communication skills with the ability to explain complex information clearly Desirable Skills Power BI (including Power Query, DAX, data modelling, and report development) SQL Experience working within public sector, housing, customer services, or similarly regulated environments Knowledge of performance reporting and KPI analysis If you're a detail-oriented ...

Strong communication skills with the ability to explain complex information clearly Desirable Skills Power BI (including Power Query, DAX, data modelling, and report development) SQL Experience working within public sector, housing, customer services, or similarly regulated environments Knowledge of performance reporting and KPI analysis If you're a detail-oriented ...

ensure sufficient protection of enterprise data. Implement data security using entitlements frameworks. Update logical or physical data models based on new use cases. Use SQL frequently and understand NoSQL databasesApplies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring … assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements. Advanced at SQL, including joins and aggregations. Working understanding of NoSQL databases. Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns for analysis. ...