1 to 25 of 40 SQL Jobs in South Yorkshire

data engineering platforms Build and maintain robust ETL/ELT pipelines integrating large, complex datasets Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies Develop solutions using Hadoop, Spark, and Splunk in large-scale environments Write maintainable Python code, applying object-oriented and functional programming principles ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Spark , and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python . Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines . ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

understanding of creating reports from Dataverse, with particular emphasis on D365 data. Experience administering reports and workspaces in Power BI Service. Experience using SQL, Power Query and Data Analysis Expression (DAX). Proven track record in delivering application-based reporting solutions (dashboards). Experience in using Azure DevOps, JIRA ...

/or Power Automate Strong analytical and problem-solving skills Ability to translate technical solutions into practical business improvements Proactive, innovative mindset Desirable: SQL, advanced Excel, ERP exposure, interest in AI-driven reporting Who This Role Suits A recent graduate in Computer Science, Data Analytics or similar — or someone early ...

qualitative research methods. Experience of using appropriate statistical analysis software (e.g. R, Python, SPSS) to conduct different types of statistical analysis. Experience of SQL, Power BI or DAX or Excel to transform and analyse data is also desirable. Experience of supporting the design and delivery of high-quality analytical projects. ...

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 3) equips you with the technical skills ...

language, plus object-oriented programming language experience such as C++ Platforms/Runtimes: Windows x86, x64, ARM architecture & .NET Technologies: Windows application development, Microsoft SQL, Microsoft Visual Studio, GitHub Strong grasp of secure code development practices Unit testing & automation testing 2+ years of Cloud services/SaaS with Azure ...

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 ...

working opportunities Personal development opportunities Desired technical skills: Power BI expertise Data Modelling, DAX, Power Query, Report/dashboard development SAP Business Objects (essential) SQL Azure Data Services ETL and data pipelines Ability to interpret data and communicate to non-technical audiences The company have an excellent reputation within their ...

experience with Microsoft Fabric Experience building end-to-end Lakehouse solutions Good data modelling skills (e.g. star schema) Experience using PySpark or Spark SQL Building data pipelines from APIs, ERP or SaaS systems Working with Fabric pipelines, notebooks and Dataflows Understanding of data governance and security Able to work independently ...

practices Track record maintaining secure applications in production Strong written and verbal communication skills Growth-oriented mindset Early-stage startup experience Nice to haves: SQL, ElasticSearch, GraphQL GitLab CI/CD pipelines Fullstack skills including Typescript, React, Styled-components, HTML & CSS Supply chain domain knowledge ...

commercial experience in Python or Go, and willingness to learn the other. Expertise in distributed systems or large-scale data processing. Strong knowledge of SQL and data warehouse technologies. Experience working with cloud environments such as AWS or GCP. Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. Experience ...

Tech Stack Youll Work With Languages & Frameworks: C#, .NET Core, ASP.NET Core MVC, Web API Cloud & Data: Azure Functions, Azure Storage, Cosmos DB, Azure SQL UI & Front-End: WPF, Blazor, SignalR, Skia DevOps & Integration: Azure DevOps, CI/CD pipelines, B2B Web APIs Key Responsibilities Lead the design and development ...

small, capable team You wont just be delivering features; youll be setting direction. The tech youll work with Core:Azure, Databricks, Python, SQL, dbt, MQTT Storage & Serving:Delta Lake, Postgres, TimescaleDB Modelling & ML:MLflow Visualisation:Grafana What makes you a great fit Youre someone who can zoom out to architecture ...

equivalent role. Proven track record of designing and scaling data platforms in a high-growth or start-up environment. Strong expertise in Python and SQL, with deep experience in orchestration frameworks (Dagster, Airflow, Prefect). Advanced knowledge of data modelling and architecture (Kimball dimensional modelling, Data Vault etc). Hands ...

take decisions early. • Positive attitude, agile mindset, and commitment to personal and professional development. Tech Stack.. • Languages & Frameworks: C#/.NET Core, React • Databases: SQL & NoSQL • Cloud & Infrastructure: AWS, Azure, GCP, Docker, Kubernetes, CI/CD • Messaging & APIs: Kafka, RabbitMQ, RESTful, GraphQL 2-stage interviews taking place next week ...

testing phases Maintaining data mapping documentation and migration logs Providing support during and post-migration phases What We’re Looking For: Basic experience with SQL and relational databases Understanding of data structures and data quality principles Strong analytical skills and attention to detail Willingness to learn in a project-driven ...

following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting solutions. Ability to work ...

experience in engineering roles, with a minimum of 5 in a senior or principal engineering position. Technical proficiency in Database technologies, relational, nosql, distributed sql, deployed on IaaS or part of DBaaS. Strong understanding of consumer use case and how databases infrastructure capabilities work. •Expertise in infrastructure components, performance tuning ...