City of London, London, United Kingdom Hybrid / WFH Options
The Digital Recruitment Company
reporting. Your Responsibilities and Tasks Monitoring & Incident Detection Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real-time dashboards to track system health. Escalate detected incidents immediately to appropriate … and generating reports to improve system reliability and customer experience. 3+ years’ experience in cloud monitoring, data analysis, or DevOps support. Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics). Proficiency in KQL (Kusto QueryLanguage) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions). Desirable More ❯
reporting. Your Responsibilities and Tasks Monitoring & Incident Detection Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real-time dashboards to track system health. Escalate detected incidents immediately to appropriate … and generating reports to improve system reliability and customer experience. 3+ years’ experience in cloud monitoring, data analysis, or DevOps support. Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics). Proficiency in KQL (Kusto QueryLanguage) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions). Desirable More ❯
Kingston Upon Thames, England, United Kingdom Hybrid / WFH Options
Reveal Media
reporting. Your Responsibilities and Tasks Monitoring & Incident Detection Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real-time dashboards to track system health. Escalate detected incidents immediately to appropriate … and generating reports to improve system reliability and customer experience. 3+ years’ experience in cloud monitoring, data analysis, or DevOps support. Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics). Proficiency in KQL (Kusto QueryLanguage) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions). Desirable More ❯
needs of the business. BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more querylanguage (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark More ❯
computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Technical knowledge i.e. Python, R, SQL, C++ etc. Exceptional Microsoft Excel skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment More ❯
Swindon, Wiltshire, United Kingdom Hybrid / WFH Options
Zurich 56 Company Ltd
to work on problems which have never been attempted before. Proficient in python and modern software development practices within a team of developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with cloud More ❯
Expertise in software architecture, design patterns, and secure coding best practises. Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) and CI/CD pipelines. Proficiency in SQL/NoSQL databases and version control systems like Git. Strong leadership and mentoring skills, with the ability to guide projects and teams. Adaptability to new technologies and evolving project needs. More ❯
Foundry Amazon Q Knowledge of latest trends like Generative AI and Agentic AI, with understanding of technology risks. Experience or understanding of programming language like Python, React, Java, or SQL from self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models More ❯
Foundry Amazon Q Knowledge of latest trends like Generative AI and Agentic AI, with understanding of technology risks. Experience or understanding of programming language like Python, React, Java, or SQL from self-teaching, educational background, personal initiatives or projects delivered Understanding in AI solution development practice (including extended OOTB tools, custom agents, trained models) with some knowledge of AI models More ❯
Strong knowledge of Go programming language, paradigms, constructs, and idioms. Familiarity with concurrent programming and building scalable applications. Experience with RESTful APIs and Web Services. Knowledge of SQL and NoSQL databases. Experience with cloud platforms (AWS, GCP, Azure) is a plus. Understanding of code versioning tools, such as Git. Experience with containerization technologies such as Docker and Kubernetes. Strong problem More ❯
Strong knowledge of Go programming language, paradigms, constructs, and idioms. Familiarity with concurrent programming and building scalable applications. Experience with RESTful APIs and Web Services. Knowledge of SQL and NoSQL databases. Experience with cloud platforms (AWS, GCP, Azure) is a plus. Understanding of code versioning tools, such as Git. Experience with containerization technologies such as Docker and Kubernetes. Strong problem More ❯
Their tools are used by high street banks and major credit companies to evaluate credit risk of their applicants. They have a large library of Delphi software code incorporating SQL, XML, XSL and data modelling in their analysis application . The Client is embarking on new developments to take their products onto new platforms and into new customer bases. C … and develop already effective technical skills. Must have a s ound background knowledge of Object Oriented techniques coupled with exp erience in Delphi C++ Java . Any experience of SQL Server , n-tier/client-server , Microsoft Visual Source Safe (VSS) , XML/XSL , Mathematical/statistical knowledge would be very useful Salary for this role will be dependent on More ❯
Southampton, England, United Kingdom Hybrid / WFH Options
RedRock Resourcing
also collaborate closely with infrastructure, service delivery and change teams to ensure smooth delivery and system stability. Key responsibilities: Designing and building secure, robust .NET applications using C#, VB.NET, SQL and more Supporting systems and troubleshooting complex technical issues Contributing to architecture and deployment standards, including automation where possible Driving improvements across code quality, documentation, and delivery processes Working in … and IT governance Required experience: At least 5 years of .NET development experience within the financial services industry Strong technical skills and experience in C#, Azure, automation, Web APIs, SQL and software architecture A Computer Science-related degree Experience in using Git, Jira, and Azure DevOps Confident communicator with a proactive mindset and attention to detail You’ll be joining More ❯
lead efforts to transform and standardise complex healthcare datasets, enabling high-quality analytics, research, and innovation. To succeed, you'll bring deep expertise in data engineering, statistical modelling, and SQL-based transformation frameworks, along with experience delivering actionable insights from real-world clinical data. Main duties of the job You will be responsible for delivering a proactive, effective, and high … Management/leadership training Knowledge and Experience Essential Significant experience working with clinical and healthcare data; demonstrated experience using OMOP CDM and Real World Evidence frameworks Proven experience with SQL-based data transformation tools such as SQL, DBT, or custom ETL frameworks Experience in large dataset management, statistical analysis, and machine learning techniques Extensive experience of information analysis, business intelligence … and reporting Experience of using Business Intelligence tools (e.g. SQL, Python/R, Azure services) Extensive experience of analysis of NHS Information and data flows to support healthcare Experience of supporting non specialist staff to interpret and apply results of information analysis Experience of working in a pressured and complex environment requiring prioritisation of workloads and negotiation of delivery timescales More ❯
and mentor engineering project teams Encourage innovation and continuous improvement Collaborate with stakeholders to understand business needs and develop technical strategies Build processes for extracting, cleaning and transforming data (SQL/Python) Oversee the delivery of high-quality code and successful project outcomes Line manage and provide career mentorship to other software engineers REQUIRED SKILLS: Degree in a quantitative field … software projects Experience of mentoring and managing software teams Experience of leading the design, development, testing, and deployment of software solutions Experience of leading code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience of developing data engineering pipelines, backend services and APIs Experience of using SQL and databases (SQL Server, Postgres etc More ❯
high-performance data pipelines and APIs. Collaborate cross-functionally to understand business needs and align data strategies accordingly. Assemble and optimise large, complex data sets from diverse sources using SQL, dbt, and Azure technologies. Champion data quality and promote a data-as-a-product mindset. Define and document technical architecture, including cloud solutions and system diagrams. Develop and document test … or a related field. Proven experience with Azure infrastructure, including Infrastructure as Code and CI/CD pipeline development (GitHub/Azure DevOps). Strong proficiency in Python and SQL, with a solid understanding of data warehousing and ETL best practices. Experience working with both structured and unstructured datasets. Demonstrated ability to communicate effectively with technical and non-technical stakeholders. More ❯
reporting processes, P&L and build key finance models enabling real-time insights for senior leadership. Build and maintain commercial dashboards using Power BI for executive-level consumption. Maintain SQL databases and ETL processes to ensure the integrity of all datasets You will work with large volumes of finance data to surface trends, risks, and opportunities. Facilitation and creation of … TM1 reports and Sage integration The Requirements: You should have a proven experience working with finance teams and large finance datasets using advanced Microsoft Excel skills (Power Pivot, VBA), SQL Server, Power BI (DAX, Power Query) Exceptional stakeholder management experience, often working with executive-level stakeholders, including the CFO Hands-on technical experience building Power BI dashboards for commercial and More ❯
reporting processes, P&L and build key finance models enabling real-time insights for senior leadership. Build and maintain commercial dashboards using Power BI for executive-level consumption. Maintain SQL databases and ETL processes to ensure the integrity of all datasets You will work with large volumes of finance data to surface trends, risks, and opportunities. Facilitation and creation of … TM1 reports and Sage integration The Requirements: You should have a proven experience working with finance teams and large finance datasets using advanced Microsoft Excel skills (Power Pivot, VBA), SQL Server, Power BI (DAX, Power Query) Exceptional stakeholder management experience, often working with executive-level stakeholders, including the CFO Hands-on technical experience building Power BI dashboards for commercial and More ❯
is essential Proficient in use of Microsoft Office product suite, particularly Excel i.e. Pivot Tables and VLOOKUP's Working knowledge of one or more of the following is advantageous: SQL, R, Python, Power BI Clear, logical analytical approach to problem-solving Ability to investigate data, find trends, forecast performance and provide insightful recommendations If you are interested in this fantastic More ❯
Learning model development,testing, and implementation. Throughout this process, you will also gatherand communicate meaningful data insights to your project team. Otherresponsibilities include: Datawrangling, extraction, and pre-processing in SQL or Python Conductingexploratory data analysis and communicating insights through cleardescriptions and visualizations in Tableau or PowerBI Developing,testing, and implementing Machine Learning models Conductingresearch on recent developments in Machine Learning … Machine Learning models and applications Knowledgeof cloud-based Machine Learning engines (AWS, Azure, Google, etc.) Experiencewith large scale data processing tools (Spark, Hadoop, etc.) Abilityto query and program databases (SQL, No SQL) Experiencewith distributed ML frameworks (TensorFlow, PyTorch, etc.) Familiaritywith collaborative software tools (Git, Jira, etc.) Experiencewith user interface libraries/applications (Shiny, Django, etc.) Experiencein developing ML or statistical More ❯
enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including daily T+1 … on-call coverage for critical services, particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. More ❯
enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including daily T+1 … on-call coverage for critical services, particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. More ❯
enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including daily T+1 … on-call coverage for critical services, particularly in Asian trading hours when required. Train & mentor other developers in data engineering best practices. Requirements Strong programming skills in Python and SQL, with experience in data modeling, ETL pipelines, and large datasets. 5+ years of experience working with P&L reporting, financial analytics, or similar data-driven workflows in a financial institution. More ❯
leading and mentoring teams Worked in a startup/scaleup background and someone that is adaptable Tech Stack Snapshot Languages: Python Cloud: AWS preferred, cloud-agnostic approach encouraged Data: SQL, Databricks, Iceberg, Kubernetes, large-scale data pipelines CI/CD & Ops: Open source tools, modern DevOps principles Why Join? Impactful Work – Help solve security problems that truly matter Ownership & Autonomy More ❯
Luton, Bedfordshire, United Kingdom Hybrid / WFH Options
Techjobs
centric mindset Experience of running 1-2-1 meetings and yearly reviews with team members Strong background in hands on software engineering role (e.g., .NET engineer) Experience with MS SQL, Snowflake or equivalent SQL database technology Experience in Continuous Delivery (CI/CD) best practices Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature tests) Experience More ❯