1 to 25 of 755 Permanent SQL Jobs in the South East

the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data … required Skills and Experience we are going to be seeking out. For this role we'd be expecting to see: • Solid experience in Azure, specifically Azure Databricks and Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. More ❯

similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. Excellent numerical and analytical skills with strong attention to detail. Confident communicator with experience presenting to More ❯

quality, utilizing TDD methodologies to ensure code reliability and maintainability. Security Practices: Knowledgeable in cybersecurity practices, including OAuth, OpenID Connect, and secure coding practices. Advanced Database Knowledge:Proficient in SQL and data modelling. SOLID Principles:Proficient in applying SOLID principles for object-oriented programming, ensuring clean, maintainable, and scalable code. Additional Skills (Good to Have): Programming Language: Python, Angular Containerisation More ❯

role Proven experience in data analysis, engineering, or a related field, ideally within the built environment or engineering sector. Strong proficiency in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization. Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git. Experience working More ❯

a fast-paced environment. Experience working with large datasets and multiple data sources. Familiarity with data visualisation tools such as Power BI. Experience using statistical tools and software (e.g., SQL, Python, R). Experience within the energy sector, particularly EV charging infrastructure desirable. A/B testing or experimentation experience desirable. Strong analytical and critical thinking skills with keen attention More ❯

a fast-paced environment. Experience working with large datasets and multiple data sources. Familiarity with data visualisation tools such as Power BI. Experience using statistical tools and software (e.g., SQL, Python, R). Experience within the energy sector, particularly EV charging infrastructure desirable. A/B testing or experimentation experience desirable. Strong analytical and critical thinking skills with keen attention More ❯

a fast-paced environment. Experience working with large datasets and multiple data sources. Familiarity with data visualisation tools such as Power BI. Experience using statistical tools and software (e.g., SQL, Python, R). Experience within the energy sector, particularly EV charging infrastructure desirable. A/B testing or experimentation experience desirable. Strong analytical and critical thinking skills with keen attention More ❯

TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to More ❯

TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to More ❯

TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills and attention to More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with More ❯

approach to modern data engineering. You should have: Proven experience with Azure Databricks and Apache Spark Working knowledge of Apache Kafka and real-time data streaming Strong proficiency in SQL and Python Familiarity with Azure Data Services and CI/CD pipelines in a DevOps environment Solid understanding of data modelling techniques (e.g., Star Schema) Excellent problem-solving skills and More ❯

analysis, financial planning, data modeling, or related areas. Hands-on experience with Anaplan (Anaplan Level 1/2 Model Builder certification preferred). Strong Excel and financial modeling skills; SQL or data integration experience a plus. Analytical mindset with attention to detail and strong problem-solving skills. Ability to work cross-functionally with both business and technical stakeholders. Strong communication More ❯

skills with a keen attention to detail. Basic knowledge of data visualization tools, particularly Power BI. Familiarity with data management platforms, especially Palantir ecosystem, is a plus. Proficiency in SQL and experience with Python, R or TypeScript is desirable. Excellent communication skills, both written and verbal, with the ability to present complex information clearly. Ability to work independently as well More ❯

and attention to detail. Excellent communication skills with the ability to work across technical and business teams. Competence in Microsoft tools (Excel, SharePoint); experience with JavaScript, C#, HTML, or SQL beneficial. Familiarity with agile methodologies and structured delivery. For senior roles: proven track record in leading projects, mentoring, and delivering scalable enterprise solutions. What We're Looking For A collaborative More ❯

best practices are followed. Key Skills & Experience Strong problem-solving skills with a curious and proactive mindset. Proven experience in building and maintaining data pipelines from scratch. Proficiency in SQL for data manipulation and querying. Experience with Power BI, including DAX, Power Query (M), and semantic modelling. Basic knowledge of Python for data processing and automation. Experience working with APIs. More ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

continuous learning and engineering excellence. Skills and Experience: Bachelor’s degree or higher in a technical discipline Extensive experience in AWS services Solid foundation in software engineering principles Advanced SQL skills Python strongly preferred More ❯

continuous learning and engineering excellence. Skills and Experience: Bachelor’s degree or higher in a technical discipline Extensive experience in AWS services Solid foundation in software engineering principles Advanced SQL skills Python strongly preferred More ❯

continuous learning and engineering excellence. Skills and Experience: Bachelor’s degree or higher in a technical discipline Extensive experience in AWS services Solid foundation in software engineering principles Advanced SQL skills Python strongly preferred More ❯

quality Test, monitor, and optimise pipelines for accuracy and performance What You'll Bring 3 to 5 years of experience in data engineering, data warehousing, or analytics engineering Strong SQL and Python skills with hands-on experience in PySpark Exposure to Azure Databricks, Microsoft Fabric, or similar cloud data platforms Understanding of Delta Lake, Git, and CI/CD workflows More ❯

Strong understanding of AI and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with microservices architecture and RESTful APIs. Knowledge of database systems (SQL and NoSQL). Experience with DevOps practices and CI/CD pipelines. Soft Skills: Excellent leadership and team management abilities. Strong problem-solving and analytical skills. Effective communication skills, both More ❯

the firm's audit analytics capabilities. Requirements: Degree in Computer Science or a related field. Proficiency in Microsoft PowerApps, Power BI, and VBA. Proven experience in computer programming (e.g. SQL, Python) and data manipulation Understanding of data visualisation and storytelling within an audit or financial context. Familiarity with external audit methodologies and professional standards Strong analytical and problem-solving skills More ❯

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure More ❯