401 to 425 of 2,604 SQL Jobs in the UK

expertise in following technologies: Java, Python, Data engineering, Data and Database engineering, Agentic AI, Gen AI, Machine Leaning, Generative AI, Scripting, Spark, Hadoop, SQL, NoSQL, PyTorch and one of the cloud technologies like AWS, Azure or GCP. Should have worked in at least two or more industry domains. Should have ...

data from analytics platforms (e.g. GA4, Adobe Analytics) and delivering insights that drive measurable business outcomes in a fast-paced environment Proficient in SQL and BigQuery, with experience using data visualisation tools (we use Looker Studio and Tableau); Python is a plus but not essential Deep understanding of key eCommerce ...

different data architecture patterns and how and when to implement them Knowledge of data modeling and warehouse design Minimum 5 years experience with SQL and Python Experience with version control and CI/CD Experience with infrastructure as code such as Terraform Experience implementing data quality and testing approaches ...

technical concepts to various stakeholders across the organization. Exceptional attention to detail and organizational skills to document requirements. Strong technical aptitude in Python, SQL, Power BI. Ability to work collaboratively with the investment team, other stakeholders, and technology teams to design and implement effective solutions. Proven experience leading delivery teams ...

communication skills. Strong diagnostic skills to identify issues within data sets and propose solutions. Proficiency in data analysis tools such as advanced MS Excel, SQL, Python, SAS, and R. Understanding of ETL, data management, and data quality best practices. Familiarity with cloud technologies and APIs. Impact You'll Make: What ...

experience with React and Angular . Knowledge of Spring, Hibernate, RabbitMQ, Hazelcast . Proficiency in GitLab and Kubernetes . Basic knowledge of PL-SQL for running queries and data analysis. Background in the financial industry is a plus. Familiarity with Test-Driven Development (TDD) . Understanding of Asynchronous Event-Based ...

within a globally distributed team - you don’t need someone sitting next to you to get up to speed or get things done Strong SQL skills - comfortable querying, transforming, and sense-checking data without hand-holding Experience with or enthusiasm for AI tools and workflow automation Nice to Have Background ...

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 ...

real constraints. Pipelines: set up and run Fabric Pipelines for ETL/ELT (ingestion, orchestration/scheduling) with production‐grade alerting and monitoring. Strong SQL incl. T‐SQL for transformations and optimisation. Qlik → Fabric: able to rewrite Qlik load scripts into Fabric SQL/T‐SQL, simplifying and optimising logic … aligned to team needs and best practice. Select and justify Fabric components and their trade‐offs. Migrate and optimise Qlik logic to Fabric SQL/T‐SQL for efficient execution. Coach analysts/developers and document architecture and runbooks. We are a Disability Confident Employer: Capgemini is proud ...

About the opportunity Are you ready to launch a career in Data Analytics and Business Intelligence Netcom Training’s fully-funded Data course (NCFE Certificate in Data, Level 2) equips you with the technical skills ...

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 ...

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 ...