1,476 to 1,500 of 4,068 SQL Jobs in England

on industry trends and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led business. Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash). Ability to translate business challenges into clear analytical projects and recommendations. Strong data storytelling and presentation skills More ❯

For Strong commercial experience with React, Next.js, Node.js, and JavaScript Solid understanding of back-end development and API design Experience working with cloud platforms (preferably AWS) Familiarity with both SQL and NoSQL databases (e.g. PostgreSQL, MongoDB) Understanding of Git, CI/CD pipelines, and secure coding practices Proven ability to work independently and within a fast-paced, agile team Strong More ❯

Compute Engine, Cloud Networking Experience with container orchestration, Kubernetes, Istio and GKE in particular. Knowledge of cloud-native storage: GCS, S3 and filer solutions. Exposure to data services: Cloud SQL, managed databases, MongoDB. Messaging systems: Kafka, RabbitMQ and EMS; API gateways like Apigee. Observability tools: Prometheus, Grafana, Cloud Monitoring. IAM and secrets management: dynamic secrets, Vault. Test-driven development and More ❯

Jenkins, GitLab CI). Proficient with monitoring and observability tools (Grafana, Prometheus, InfluxDB). Experience integrating event-driven systems using MQ solutions (RabbitMQ or similar). Strong knowledge of SQL and relational databases . Advanced Linux administration and shell scripting skills. Familiarity with network security protocols . Experience deploying and maintaining systems on AWS (EC2, RDS, S3, Lambda). Desirable More ❯

teams. - Proven success in production deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and More ❯

teams. - Proven success in production deployment of ML/LLM/NLP/CV models. - Strong understanding of machine learning fundamentals, statistical inference, and model evaluation. - Advanced proficiency in SQL (e.g., PostgreSQL, ELT/ETL) and Python (PyTorch, LightGBM, Scikit-learn). - Experience with modern AI concepts: prompt engineering, embeddings, vector search, etc. - Skilled in managing complex codebases (Git) and More ❯

expertise and relationships Ideal Candidate Profile Must-haves: Hands-on coding appetite - this isn't a pure management role Team leadership experience - comfortable managing and mentoring engineers Advanced skills : SQL, Python, PySpark, Databricks, Azure stack Enjoys building from scratch - thrives in low-maturity, high-potential environments Deal-breakers: ❌ Candidates who've "moved away" from hands-on engineering ❌ Those uncomfortable with More ❯

expertise and relationships Ideal Candidate Profile Must-haves: Hands-on coding appetite - this isn't a pure management role Team leadership experience - comfortable managing and mentoring engineers Advanced skills : SQL, Python, PySpark, Databricks, Azure stack Enjoys building from scratch - thrives in low-maturity, high-potential environments Deal-breakers: ❌ Candidates who've "moved away" from hands-on engineering ❌ Those uncomfortable with More ❯

level governance or non-implementing architectural design in recent years. Core Data Skills: Comprehensive understanding of Data Warehousing methodologies, modern ELT/ETL patterns, Analytics Engineering principles, and advanced SQL for performance optimization. This is a unique opportunity to define the data strategy through execution for a Tier 1 institution and drive cultural change through technical thought leadership. We invite More ❯

level governance or non-implementing architectural design in recent years. Core Data Skills: Comprehensive understanding of Data Warehousing methodologies, modern ELT/ETL patterns, Analytics Engineering principles, and advanced SQL for performance optimization. This is a unique opportunity to define the data strategy through execution for a Tier 1 institution and drive cultural change through technical thought leadership. We invite More ❯

of software development experience (all paths to expertise are welcome) Strong skills in .NET, JavaScript, TypeScript, C# Experience with React, Angular, or Vue.js (frontend wizardry) Knowledge of databases (both SQL and NoSQL – we're not picky) DevOps and CI/CD experience (because manual deployments are so 2015) Ability to solve problems creatively (googling solutions is perfectly normal, by the More ❯

in Python backend development (FastAPI, Flask, or Django) · Cloud technology experience (AWS preferred but happy with Azure and GCP experience) · Experience with Docker, Kubernetes, and Infrastructure as Code · Solid SQL skills and experience with data integration · Experience translating vague business requirements into working software · Track record of delivering projects on aggressive timelines · Comfortable working autonomously with minimal supervision · Excellent communication More ❯

tangible business value. Balance hands-on technical delivery with team leadership and stakeholder engagement. Bring structure and prioritisation to a fast-paced, evolving environment. About You Highly proficient in SQL and Python . Experience with data modelling (3NF, Kimball) and modern data integration tools. Exposure to cloud-based platforms such as Snowflake , BigQuery , or similar is advantageous. Experience with DBT More ❯

Inventory, or Fixed Assets. Familiarity with ITSM tools such as ServiceNow or Jira. Understanding of ITIL fundamentals (Incident, Problem, Change). Ability to use Excel add-ins and basic SQL for data checks. Excellent communication skills and stakeholder management ability. Nice to have Background in Finance or Operations. Knowledge of Azure DevOps, LCS, RSAT, or Power Platform tools. Experience with More ❯

Flows/Agents that require reassignment to appropriate environments Client brand logo updates Others Outcome: Compliance report and documented remediation actions. Backend System Assessment Assess backend systems (SharePoint, Dataverse, SQL) for performance and compliance for each Power Apps/Flows/Agents/Pages. Outcome: Backend compliance report and remediation plan. Operational Readiness Validate Service Introduction Checklist completion for Power More ❯

Flows/Agents that require reassignment to appropriate environments Client brand logo updates Others Outcome: Compliance report and documented remediation actions. Backend System Assessment Assess backend systems (SharePoint, Dataverse, SQL) for performance and compliance for each Power Apps/Flows/Agents/Pages. Outcome: Backend compliance report and remediation plan. Operational Readiness Validate Service Introduction Checklist completion for Power More ❯

focused on AI or ML engineering). Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks. Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong understanding of distributed systems, API design, and modern deployment practices using Docker, Kubernetes, and CI/CD pipelines. Comfort More ❯

focused on AI or ML engineering). Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks. Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong understanding of distributed systems, API design, and modern deployment practices using Docker, Kubernetes, and CI/CD pipelines. Comfort More ❯

a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team More ❯

a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team More ❯

skills Need to Have Knowledge of IT systems and networking: SaaS technology selling experience Cloud hosting infrastructure and platforms (Azure, AWS etc.) Microsoft Enterprise solutions like .NET and MS SQL HTML, Java scripting, CSS etc. Nice to Have Knowledge of or experience in the following industry sectors: Banking Retail Government Healthcare Key Competencies Planning and execution Persuasiveness and negotiation Adaptability More ❯

able to handle multiple priorities effectively. Desirable Skills: Previous experience with Oracle ERP (e-Business or Fusion), including data migration and process mapping. Technical skills such as PL/SQL, JavaScript, BI Publisher. Understanding of methodologies like Agile and ITIL, along with capacity planning concepts. Knowledge of integration components, such as PenServer and HMRC. Why Join Us? We are committed More ❯

Docker Swarm Hands-on experience building and maintaining CI/CD pipelines (e.g. Jenkins) Deep understanding of monitoring & observability tools (Grafana, Prometheus, InfluxDB) Solid grounding in Linux, network security, SQL, and AWS (EC2, S3, RDS, Lambda) Comfortable with MQ messaging (RabbitMQ or similar) Bonus points for: Experience with Azure environments Strong coding ability in Python, Java, or Go Knowledge of More ❯

making. Enforce strong data governance, quality standards, and security protocols across the data estate. What type of candidate do they need? Deep experience in data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands More ❯

making. Enforce strong data governance, quality standards, and security protocols across the data estate. What type of candidate do they need? Deep experience in data engineering using Azure, Databricks, SQL, and Azure Data Factory, including medallion architecture. Proven leadership in guiding teams through complex data deliveries and adopting best practices. Strong background in ETL orchestration and hybrid cloud integration. Hands More ❯