1 to 25 of 52 SQL Jobs in Edinburgh

with data engineering concepts, including data pipelines, data integration, and data warehousing Desirable Proficiency in data science and analytics tools/platforms such as SQL, Snowflake, AWS, or Python Knowledge of data modelling techniques Understanding of cloud technologies Understanding of machine learning and AI Experience in a business or data more »

as Wireshark, Fiddler, Charles Proxy, and DebugDiag, and with testing of RESTful APIs and Distributed Web Applications. Experience working with any relational DB and SQL, with Operating System-based scripting (bash), with advanced features of dev-tools in the browser, and with Source Control tools (Git). Experience with CI more »

initiatives. Create compelling narratives from data that drive evidence-based decision-making. Prioritise resources effectively to ensure impactful outcomes. Skills & Experience: Excellent understanding of SQL for data manipulation and analysis. Strong analytical skills with knowledge of a variety of analytical techniques. A proven track record of translating data into compelling more »

analysis skills to assist in the troubleshooting of data related problems to provide resilient fixes Desirable Skills/Experience Simego synchronisation Power BI Microsoft SQL/SSIS/SSRS PowerShell Microsoft SharePoint Understanding of ISO 27001 IT Security Risk Management Experience of project task and defect tracking tools such as more »

Proven track record in Software Development in a similar role Demonstrable strong skills across BI tooling such as SSRS or PowerBI as well as SQL, data queries/manipulation/tuning Strong skills across unit, end-to-end and acceptance testing Ability to lead on technical projects and liaise with more »

business reporting. You’ll be someone with: Strong familiarity with Microsoft Power Platform, including PowerBI, Azure Data Lake, and Power Apps. Experience of using SQL, Python, and tools for data transformation. Strong understanding of data analysis methodologies. Ability to prepare strong data visualizations using tools including PowerBI. We’re committed more »

Development: Strong experience with server-side programming languages such as Node.js or Python, API development, and microservices architecture. Database Management: Experience with relational databases (SQL) and integrating them with applications. Agile Methodologies: Understanding of Agile development processes and experience with project management tools. Industry Experience: 3 years in a full more »

have past demonstration of strong project management and leadership skills, and the ability to deliver large complex projects. Preferred Skills and Experience Experience with SQL, UNIX, VBA, C++, PERL, Python, AI, BI Tools (Tableau, PowerBI) or similar tools, and/or Aladdin. CFA, FRM, CIMA, or CAIA certification. Our benefits more »

a focus on having delivered in Microsoft Azure Strong experience designing and delivering data solutions in Fabric, Azure Databricks or Azure Synapse Proficient with SQL and Python Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure Data Engineering certifications Microsoft Fabric certifications What's in it for more »

solution. Proficiency in documenting functional specifications. Provide feedback on technical solutions and data models to business analysts and development teams. Proficient in PL/SQL and SQL. Proven experience in Oracle RDBMS database development. Design, develop and modify relational database objects including Tables, View, Packages, Triggers and Indexes. Familiarity with more »

and Services Oriented Architecture Be aware of Non-Functional Requirements Solid experience in designing and developing with relational databases (Postgres/Oracle/MS-SQL) and SQL - PL/SQL Strong understanding of RESTful services and SOAP services Hands-on experience with CI/CD tools such as Maven, Ant more »

pipelines. Requirements 7+ years in software engineering, with 3+ years in API-backed ML deployment. Strong programming language skills in Python. Significant experience with SQL (e.g., RDBMS, Spark, Presto, or BigQuery). Experience with machine learning, optimization, and data manipulation tools (e.g., scikit-learn, XGBoost, cvxpy, Pandas, Spark, or PyTorch more »

will be involved in future implementations and upgrades across the company. Experience: Dynamics 365 Customer Engagement (CE) Development Power Platform experience C# .NET, Azure, SQL and JavaScript plug-in coding experience Power Platform experience beneficial but not essential Code review, code testing, code analysis and coding standards. Salary: In return more »

of Clearwater systems and our best practices with non-technical internal and external stakeholders. Required Skills: Securities, accounting, and financial experience. Strong understanding of SQL and relational database principles. Experience with scripting programming languages like Groovy, Perl, or Python. Experience with industry-standard data transmission protocols preferred. Strong computer skills more »

requirements. An effective team contributor: You thrive in a collaborative environment, working closely with cross-functional teams to reach shared goals. You possess proficient SQL skills and some experience in DBT. You’re comfortable working with scripting languages like Python or R for data analysis. What's in it for more »

and scalability. Monitor and maintain data systems to ensure high availability. Key Requirements: Proven experience as a Data Engineer or similar role. Proficiency in SQL, Python, or other data processing languages. Experience with cloud platforms (e.g., Azure, AWS, or Google Cloud). Knowledge of data warehousing concepts and big data more »

responsible attitude Hands-on experience with Adobe Campaign Knowledge in optimisation techniques, handling large data volumes, and marketing automation Experience with XML, JavaScript, and SQL Excellent written and verbal communication skills Desired Skills: Strong PowerPoint and Excel skills Global or European experience is an advantage Experience with the wider Adobe more »

Experience with data cleaning, transformation, and validation techniques. Ability to communicate complex data concepts to non-technical stakeholders. Familiarity with scripting languages (e.g., Python, SQL) is a plus. Excellent organizational skills, able to manage multiple data import projects simultaneously. Ability to troubleshoot and resolve data-related issues quickly and effectively. more »

IR35) Duration: 12 months Key Skills: Oracle as primary skill and Snowflake/Other Data Engineering as secondary Strong hands-on Oracle PL/SQL development and Performance tuning skills. This person should ideally have some solution design experience or be able to design based on the requirements/discussions more »

design, Cloud Migration, etc.). Strong background in on-premises infrastructure, virtualization technologies, or applications. Extensive experience with Azure IaaS, Backup & Recovery Services, Governance, SQL Databases, Security, Serverless, Containers, and Active Directory. Proficiency with Windows Server/Linux OS and Infrastructure as Code (ARM, Bicep, Terraform, PowerShell). Experience with more »

design, Cloud Migration, etc.). Strong background in on-premises infrastructure, virtualization technologies, or applications. Extensive experience with Azure IaaS, Backup & Recovery Services, Governance, SQL Databases, Security, Serverless, Containers, and Active Directory. Proficiency with Windows Server/Linux OS and Infrastructure as Code (ARM, Bicep, Terraform, PowerShell). Experience with more »

improve their ways of working within their roles. You have experience in a data-related role, possessing a proven foundation in programming (Python and SQL) and a passion for redefining data into actionable insights. Qualifications About you This is a great opportunity for an experienced data leader to join a … field Experience/familiarity with Oracle, Snowflake or similar Strong knowledge of data management principles, database systems, and data warehousing concepts. Strong command of SQL, for querying and managing relational databases. Proficiency in business intelligence tools and technologies (e.g., OAS, PowerBI). Understanding of machine learning or data science. Excellent more »

tangible impact on a business that is really investing in their data capabilities! Requirements Experience developing and deploying machine learning models Skills in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Hands-on experience with Databricks (either on AWS or Azure) Understanding of ML Ops principles more »

investigation, escalation). Good working knowledge of networking protocols and investigation (capture, Wireshark). Good knowledge of Operating Systems, Databases and Applications (Windows, Linux, SQL, F5). Well versed in SIEM tools (Splunk, Sentinel). Well versed in EDR tools (Defender, Crowdstrike). Knowledge of security concepts (MITRE, Kill-Chain more »

Version control (Git) and CI/CD tools, unit and integration testing, intermediate Python. Desirable: Cloud Development and application migration (Azure or GCP), Microsoft SQL Server, T-SQL, Entity Framework, Containerisation (Docker or Kubernetes), Microsoft IIS configuration, Excel VBA, VSTO, Jira and Confluence About Working For Us Our focus is more »