351 to 375 of 2,356 SQL Jobs in the UK

lifecycle: training, evaluation, deployment, monitoring, and retraining. Experience with containerisation (Docker) and infrastructure-as-code. Proficiency with Git and version control workflows. Familiarity with SQL and data warehousing platforms (Snowflake preferred). Experience implementing monitoring, logging, and alerting for production systems. Strong debugging and incident response skills for complex distributed ...

data pipelines using Python and PySpark. Experience designing auditable, reproducible data pipelines in regulated or high-integrity environments. Able to write and optimize complex SQL queries on large data sets. Strong data modeling and warehouse design fundamentals. Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability) Experience ...

including: GitHub and Azure DevOps. Strong experience integrating automated tests into CI/CD pipelines, enabling continuous testing and fast feedback. Working knowledge of SQL and relational databases, including test data creation, validation, and environment management. Experience Essential Proven experience owning and maintaining automated regression suites, ensuring reliability, relevance ...

including: GitHub and Azure DevOps. Strong experience integrating automated tests into CI/CD pipelines, enabling continuous testing and fast feedback. Working knowledge of SQL and relational databases, including test data creation, validation, and environment management. Experience Essential Proven experience owning and maintaining automated regression suites, ensuring reliability, relevance ...

including: GitHub and Azure DevOps. Strong experience integrating automated tests into CI/CD pipelines, enabling continuous testing and fast feedback. Working knowledge of SQL and relational databases, including test data creation, validation, and environment management. Experience Essential Proven experience owning and maintaining automated regression suites, ensuring reliability, relevance ...

including: GitHub and Azure DevOps. Strong experience integrating automated tests into CI/CD pipelines, enabling continuous testing and fast feedback. Working knowledge of SQL and relational databases, including test data creation, validation, and environment management. Experience Essential Proven experience owning and maintaining automated regression suites, ensuring reliability, relevance ...

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 ...

clearly to both technical and non-technical stakeholders Required Skills & Experience 3+ years' experience in Data Science/Machine Learning roles Strong Python and SQL skills with hands-on experience building models and data pipelines Proven experience working with Generative AI (LLMs, prompt engineering, embeddings) Experience using frameworks such ...

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. ...

Analytics – Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems. Technical Excellence – Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred. Strategic Thinking & Stakeholder Engagement – Proven ability to communicate complex data ...

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 ...

Skills and Experience: Strong commercial experience using Power BI for financial reporting and analytics Advanced capability in DAX and Power Query Working knowledge of SQL and relational data sources Solid understanding of core financial statements and metrics Ability to communicate insights clearly to non-technical senior stakeholders Comfortable working ...

tickets within the incident management system and track progress through to closure. Analyse data trends and anomalies, identifying root causes using analytical tools and SQL where required. Utilise advanced Microsoft Excel capabilities, including Power Query, Power Pivot, and Power Automate, to manipulate and interpret cloud-based data. Validate reports produced ...

with stakeholders to understand data requirements and deliver insights Supporting the development of predictive models and data driven strategies Using tools such as Excel, SQL, and Python to manipulate and analyse data Presenting findings in a clear and commercially focused way Collaborating with cross functional teams across finance, operations ...

Computer Science, Information Systems, or a related field (or equivalent practical experience), with strong hands on knowledge of Power BI, DAX, Power Query (M), SQL and Python. You’ll have experience building interactive dashboards and reports, working with data analysis and modelling, and translating business requirements into effective business intelligence ...

strong collaboration and communication skills Desirable Experience: Familiarity with Infrastructure as Code tools like Terraform Experience working with NoSQL databases (such as MongoDB) or SQL databases (such as Postgres) Awareness of accessibility, coding standards, and development best practices Bonus points for experience with: Building microservices in C# Integrating large language ...

like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Working knowledge of Databricks/Spark or comparable large-scale data processing tools. SQL: Solid capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills ...

Previous experience of Inductive Automation's "Ignition" platform would be desirable. Skilled in the use of programming and data analytics tools such as Python, SQL and Power BI within a telemetry/SCADA environment to manipulate, interrogate and visualise configurations and datasets, delivering high quality insights that support operational ...

learn Experience with gradient boosting frameworks (e.g. LightGBM or similar) Solid grounding in statistics and machine learning concepts Comfortable working with structured data and SQL Ability to communicate insights clearly to both technical and non-technical audiences Experience taking models beyond experimentation into production environments Strong analytical thinking and problem ...

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 ...

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 ...

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 ...

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 ...