1 to 25 of 35 Permanent SQL Jobs in Wakefield

deploy ML/AI models, collaborate with data engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML, Azure Synapse, Databricks MLOps, MLflow, CI/CD pipelines NLP, Deep Learning, Time-Series Forecasting Power BI for data storytelling Docker & Kubernetes ...

business environment Experience with Data Warehouses, Data Lakes, Cloud Technology, Business Intelligence and CRM products Experience in programming languages such as Javascript, Python, and SQL or Salesforce App Development with LWCs, Apex, Flow etc Preferred Requirements Implementation or Sales Experience in Salesforce D360 and Agentforce Hands on Experience on Salesforce ...

data platform design to BI and analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging SQL, Python, Java and/or Spark to build, operate and maintain data analytics solutions Extensive knowledge of and experience with large-scale database technology (e.g. ...

insights Assist with project planning and tracking using accurate data analysis About You Strong analytical and problem-solving skills Proficient in Excel , Power BI , SQL , or similar tools Able to turn complex data into simple, actionable insights Exceptional attention to detail Confident communicator, able to work effectively with stakeholders ...

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 ...

similar platforms. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews). Expert-level SQL skills and experience working with large datasets for analysis and modeling. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex ...

assurance in an asset engineering environment Proficiency in data analysis tools and techniques such as Advanced Excel (VBA, Macros), Python, Tableau, Power BI, SQL etc Ability to understand complex engineering or data management concepts and translate these appropriately to reflect the audience you are speaking to. Proficient understanding ...

Web3 or TradFi, with enough domain understanding to contextualize GTM motions and partner ecosystem dynamics. Preferred Skills Experience building dashboards or data workflows using SQL, GBQ, or similar tools, and translating complex data into clear insights. Familiarity with Salesforce objects, pipelines, and reporting, enabling effective collaboration with RevOps ...

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 ...

Highly proficient in financial modelling, scenario analysis and valuation, specifically within the context of portfolio performance reporting and analysis Familiarity with Python, SQL, SAP and software engineering best practices to collaborate effectively with internal IT team In depth knowledge of the infrastructure sector, knowledge of Renewable Energy sector ...

Deep technical understanding of data engineering and AI/ML tooling, workflows, and trends in enterprise setting Proficiency in Python, Spark, and/or SQL with experience developing ETL applications Excellent communication and presentation skills, with comfort in objection handling Hands-on experience with AWS, and other cloud providers Databricks ...

proxy providers like Stripe, GoCardless etc Extensive, demonstrated experience with PHP Experience with enterprise solutions and large-scale systems Demonstrated knowledge of database technologies (SQL and NoSQL) and best practices for data modelling and performance optimisation Proven experience in managing large, technical projects and delivering high-quality, impactful results with ...

with APIs/webhooks and debugging failures end to end Hands-on experience with n8n (or similar) building multi-step workflows Working knowledge of SQL; Python/scripting is a strong plus You design for reliability: retries, idempotency, monitoring, fallbacks Bias for leverage: you automate what happens weekly, not once ...

Have 1+ years of elite software engineering experience. Computer Science degree from a prestigious university in the U.S., Canada, or the UK. Proficiency in SQL and database structuring. Expert-level skills in API development. Strong attention to detail and problem-solving skills. Excellent written and verbal communication skills. Start Date ...

Administration. 4+ years of experience in financial analysis, investment research, or corporate finance. Proficiency in financial modelling tools and software (Excel, Python, R, or SQL) and familiarity with valuation techniques (DCF, comparable analysis, sensitivity modeling). Deep understanding of financial statements, forecasting methods, and corporate metrics. Excellent written and verbal ...

looking for highly motivated individuals with a mix of sports betting knowledge and technical acumen. Coding capability in at least one (preferably more) of SQL, Python or Java is extremely desirable for the role, as is knowledge of the US sports betting market. You will be analytical, mathematically minded ...

extensive production experience) - this is key, you must have extensive experience with Node.JS RESTful API design and development (production experience) Database design and optimization (SQL and/or NoSQL) Authentication, authorization, and security best practices AI coding tools (GitHub Copilot, Claude, Cursor, or similar) You'll be a good ...

strong focus on data-engineering at scale Strong experience building robust & scalable data pipelines using Python and PySpark A deep knowledge of Schema Design, SQL and database optimizations Experience of being a bar-raiser and helping improve engineering best practices Experience of orchestration tools like Databricks or Airflow Experience with ...

Market Risk. Strong knowledge of financial products related to Foreign Exchange, Rates, Credit, Equities, Treasury asset classes Technical proficiency with Structured Query Language (SQL) and data visualisation tools. Programming/scripting knowledge in Python is a plus Experience in designing and deploying controls and models in a large financial institution ...

listed below:- S3- Athena- Glue- Lambda- DynamoDB- OpenSearch- CloudFormation- API Gateway- ECS- CloudWatch Programming and Core Services • Fluency in Kotlin/Java, NodeJS, TypeScript • SQL Databases Experience with SQL, and NoSQL databases such as DynamoDB Security – strong understanding of security principles within the AWS environment, including RBAC and the principle … listed below:- S3- Athena- Glue- Lambda- DynamoDB- OpenSearch- CloudFormation- API Gateway- ECS- CloudWatch Programming and Core Services • Fluency in Kotlin/Java, NodeJS, TypeScript • SQL Databases Experience with SQL, and NoSQL databases such as DynamoDB Security – strong understanding of security principles within the AWS environment, including RBAC and the principle ...

data driven solutions. • Technical Excellence: Promote and enable adoption of Technical Standards and Engineering Effectiveness within development squads. • Technical Experience: Demonstrate expertise in using SQL (Spark, Dremio), Python, GitHub and data orchestration tools (Airflow, Oozie) for data wrangling, building data pipelines and developing analytical interfaces. • AI-Assisted Analytics: Bring experience … automation practices. You will need • Experience developing robust data products that are actionable and scalable.• Expertise of using Spark, Dremio, Teradata or other SQL technologies.• Strong knowledge and experience of using business intelligence, ETL frameworks and visualisation tools such as Tableau.• Experience with Python, GitHub, data orchestration tools (Oozie, Airflow ...

.NET Developer, C# - Global Technology Brand - Wakefield (Tech stack: .NET Developer, .NET 10.0, ASP.NET, C# 14, WPF, React, Angular 21, Microservices, Azure, ASP.NET Core Web API, Entity Framework, Agile, Programmer, Full Stack Engineer, Architect, .NET ...

process: From discovery and prototyping to deployment and enablement—you'll manage the full lifecycle of data products. Get hands-on: Use SQL, Power BI, and Python/R to produce robust, actionable insights that tell a compelling story. Influence at the top: Translate complex data into clear narratives … What do I need? What We're Looking For Proven experience in stakeholder-facing analytics roles, influencing decisions through data. Strong technical skills in SQL (BigQuery preferred), Power BI (DAX, Power Query), and Python or R. Experience building scalable data products or insight frameworks. Ability to manage multiple priorities ...

teams to define data models and integration flows. Database Engineering (MariaDB) Model relational data structures optimised for high-ingest, analytical workloads. Write efficient SQL queries, schema migrations, and performance optimisations. Ensure data correctness under concurrent, distributed write loads. Architecture, Quality & Reliability Contribute to system architecture design and long-term platform … Boot. Experience with event-driven architectures and message brokers (RabbitMQ or similar). Proficiency with MariaDB, MySQL or other RDBMS, including schema design and SQL optimisation. Solid understanding of distributed systems concepts. Experience designing and implementing REST APIs. Familiarity with containerised deployment, specifically Docker (we do not use Kubernetes). ...