1,476 to 1,500 of 6,150 SQL Jobs in England

/ELT development. Data ingestion and integration from multiple source systems. Cloud-based data platform experience, ideally Azure. API integration and data pipeline development. SQL and data modelling expertise. Experience working with large and complex datasets. Strong understanding of modern data architecture principles. Highly Desirable Experience Medallion Architecture (Bronze, Silver ...

plus, or a genuine appetite to learn it. Proven ability to project‐manage technical workstreams using tools such as Jira, Asana or similar. Strong SQL skills and advanced proficiency in Excel/Google Sheets (scripting, complex formulas, automation). Excellent communication skills, able to translate technical concepts for non‐technical ...

discussions. Passion for the sports industry and an interest in developing deep sector expertise. Experience using PowerPoint and other Microsoft Office tools. Exposure to SQL, Python, or other analytical tools would be advantageous but is not essential. What They Offer Opportunity to work with globally recognised organisations across sports, media ...

equivalent practical experience Strong quantitative skills or data engineering expertise Strong hands‐on programming experience in Python or Java Good working knowledge of SQL, including troubleshooting, optimisation and data analysis Ability to learn new tools, internal platforms and delivery workflows quickly Familiarity with version control, testing, release discipline ...

Proficiency in object-oriented Python, advanced dataframes (Polars/Pyspark), and data versioning (DVC). Experience designing data storage solutions and using object-oriented SQL interfaces. Cloud & DevOps : Hands-on experience with at least two major cloud providers (AWS, Azure, GCP), including app deployment, database services (e.g., RDS, CosmosDB ...

procurement and supply chain management. Day-to-day of the role: Data-Driven Decision Making: Utilize advanced analytical tools like Power BI, Excel, and SQL to analyze procurement data, identify trends, and provide actionable insights. System Development and Enhancement: Lead the design and development of applications that support efficient procurement ...

environment. You will ideally have: Proven experience leading and developing Data Engineering teams. Strong hands-on experience with modern cloud-based data platforms. Excellent SQL and Python skills. Extensive experience with Databricks, Spark and lakehouse architectures. Strong knowledge of data engineering, data modelling and architecture best practice. Experience delivering data ...

automated deployment, monitoring and retraining. Cloud based machine learning delivery, ideally on Azure (Azure ML, Azure DevOps), with equivalent AWS or GCP experience considered. SQL and relational data modelling, with the ability to work efficiently against large datasets. Statistical foundations sufficient to design sound experiments, quantify uncertainty and challenge conclusions ...

it. Presales instinct — you don't just design solutions; you sell them, price them, and defend them under fire. Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build. ...

Experience Expert-level experience with Google Cloud Platform (GCP) or a comparable cloud data engineering stack. Advanced, hands-on experience with dbt, Python and SQL for data engineering. Strong data modelling and ETL/ELT design experience. Proven track record delivering data products end-to-end in a production environment. ...

PoCs . Understanding of how AI/ML capabilities can be integrated into software applications. Experience working with RESTful APIs and microservices architectures. Strong SQL skills and experience working with relational databases such as PostgreSQL or MySQL. Experience with Git or similar version control systems. Strong understanding of software development ...

Background in designing distributed architectures and microservices solutions Proficient in backend technologies such as Python, Java, or C# (.NET) Strong knowledge of data platforms, SQL, ETL pipelines, and data lake architecture Familiarity with front-end technologies such as Angular Experience with CI/CD pipelines, Terraform, and containerization (Docker/ ...

skills demonstrated in large‐scale data environments Proven experience in software development lifecycle in analytics (e.g. version control, testing, and CI/CD) Excellent SQL and data transformation skills (e.g. ideally proficient in dbt or similar) Familiarity with at least one of these Cloud technologies: Snowflake, AWS, Google Cloud, Microsoft ...

platforms. Experience supporting supply chain transformation or digitalisation projects. Knowledge of inventory optimisation, capacity modelling, and network planning methodologies. Experience working with Power BI, SQL, Python, or advanced analytics tools. Why Join Pilgrim's Europe? Competitive salary and benefits package Pension scheme Life assurance Employee discount platform and retail benefits ...

bigger pictureConfidence to work autonomously, while knowing when to seek supportAn appetite to understand machine learning models and how they are developedProficiency in SQL is requiredStrong MS Excel skills are requiredGCP experience and Python skills are a plusExperience with data visualization tool such as PowerBI, Looker. A solid STEM background ...

data needs and help stakeholders access reliable insights Contribute to architectural decisions as the data platform evolves What We’re Looking For Strong SQL skills, including performance optimisation and complex queries Experience building and maintaining data pipelines at scale Experience with a modern data stack (e.g. Snowflake, dbt, Fivetran, Debezium ...

effectively across business and technical teams. Essential Skills Data architecture and enterprise data design Conceptual, logical, and physical data modeling Data integration and interoperability SQL and strong understanding of relational databases Experience with NoSQL technologies, including MongoDB Knowledge of document-based and operational data models Data warehousing and/ ...

Analytics Engineering, Data Engineering, or BI Development, or equivalent academic experience. Hands‐on experience with dbt (dbt Core/Cloud). Strong proficiency in SQL and good understanding of data modelling patterns. Experience with a modern cloud data warehouse (Snowflake, BigQuery etc). Experience with version control using Git. Good ...

/CD pipelines, source control, and release automation practices. Experience implementing automated testing (unit, integration, and end-to-end). Strong understanding of SQL and NoSQL databases, data modelling, and performance optimisation. Knowledge of secure coding practices and application security principles. Experience with containerisation technologies (e.g., Docker) and orchestration platforms ...

ideally supporting enterprise sales across EMEA 2‐3+ years of experience in Solutions Engineering, Sales Engineering, Solutions Consulting, or an analytics role. Proficiency in SQL, with working knowledge of JavaScript or Python preferred Solid understanding of data modeling, cloud data platforms, and BI/analytics tools such as Snowflake, Redshift ...

economics, actuarial science, business management, or a related field. Hands-on experience with handling large datasets, proficiency with MS Excel experience with Python/SQL programming, and tools such as Alteryx or Tableau. Preferred qualifications, capabilities, and skills Progress towards advanced degree or certifications such as CIPM is advantageous. Experience ...

data projects(underwriting, claims,policy, actuarial, delegations, bordereau,Lloyds syndicationetc). 2 years working with MS Azure data technologies (Databricks on Azure,Synapse,Purview, SQL, ADF, Fabric, Pythonetc). 6 months working with AI to augment or automate business process(RAG, classification, API and Prompt management, Observability & Audit ...

technologies and methodologies. What makes a great candidate All levels of experience will be considered Expertise in designing and building data pipelines Proficient in SQL, Python, AWS and other data management technologies Familiarity with version control systems like Git and orchestration tools like Airflow Ability to test and troubleshoot data ...

architecture, data modelling and secure coding practices. Confident with Git‐based version control, pull requests, code reviews, branching strategies and release discipline. Experience with SQL databases and data access patterns; ability to diagnose performance and reliability issues. Familiarity with DevOps practices including CI/CD pipelines, automated testing, deployment processes ...

Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive when working as part ...