11 of 11 SQL Jobs in Midlothian

contribute to technical discussions, share knowledge and support colleagues. Desirable criteria for a Senior Developer: * Experience working with Microsoft Azure services such as Azure SQL, Cosmos DB, App Services, Function Apps and AI Search. * Knowledge of clean architecture, OOP, SOLID, RESTful APIs and GitHub-based development workflows. * Experience of GOV.UK ...

Strong stakeholder engagement and requirements gathering skills. The ability to work independently and deliver outcomes in a fast-paced project environment. Desirable experience includes: SQL and database analysis experience. Geospatial analysis, heat mapping or hotspot visualisation expertise. Knowledge of data governance and data quality best practice. Experience supporting regulatory ...

little as a few weeks. Our programme includes: • Official CompTIA Data+ Certification • Official BCS accredited Business Analysis Foundation Certification • Training in Excel, SQL, Python, Power BI, and Tableau • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support Flexible, affordable, achievable To make ...

with access to the following additional courses to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many ...

little as a few weeks. Our programme includes: Official CompTIA Data+ Certification Official BCS accredited Business Analysis Foundation Certification Training in Excel, SQL, Python, Power BI, and Tableau Professional CV and LinkedIn support Interview preparation Dedicated recruitment support until placed Personalised 1-1 tutor support Flexible, affordable, achievable To make ...

with technical and non-technical stakeholders to design systems that solve real problems What you'll bring Extensive commercial experience with C#, .NET and SQL Strong Azure experience, including cloud adoption frameworks A proven track record in API development and modern system architecture Hands-on experience with CI/ ...

Skills you'll need Strong data analysis and problem-solving skills. Strong Power BI experience. Experience working with large and complex datasets. Strong SQL/data interrogation capability. Experience of data quality assessment, validation and reporting. Financial Services experience, ideally within Financial Crime, AML, Transaction Monitoring or Screening. Transaction Monitoring ...

Data Engineering roles, including leadership or mentoring responsibilities Hands-on experience with Databricks Experience delivering cloud-based data platforms and migration projects Strong SQL Experience building and maintaining ETL/ELT pipelines Knowledge of Azure data technologies would be advantageous Excellent communication and stakeholder management skills What's on Offer ...

models in energy, commodities or financial markets, with strong knowledge of power and gas markets. Advanced Python and data analysis skills, alongside experience with SQL, PySpark or cloud-based data platforms. A sound grasp of stochastic modelling, simulation methods and time series analysis. Experience working directly with trading or commercial ...

data quality and limitations within the available evidence ** Validate models and test the robustness of findings ** Use Python or R for quantitative analysis, alongside SQL ** Translate complex analysis into clear findings and implications for non-technical stakeholders ** Work independently on ambiguous questions and use sound judgement to determine the best ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...