1 to 25 of 749 Permanent SQL Jobs in Central London

Degree in Computer Science, IT, or a related field. 5+ years of experience with the Microsoft Power Platform. Strong experience with C#, ASP.NET, MVC, JavaScript, HTML/CSS, T-SQL, and web services. Hands-on experience with SharePoint Online development and SPFx. Proficient in SQL and data modelling principles. Bonus: Familiarity with Python, R, ETL pipelines, and DevExpress controls. Comfortable … working with Azure resources such as App Services, SQL DB, Blob Storage, and Data Factory. Experience using GitHub and Azure DevOps for source control and deployments. Strong communicator with the ability to collaborate across business and technical teams. Self-sufficient, delivery-focused, and thrives in a fast-paced, evolving environment. Company Culture & Benefits This is a people-first organisation that More ❯

support data pipelines to ingest, transform and manage data in the data lake and warehouse. Design and deliver insightful MI and BI reports from a variety of sources including SQL databases and Excel. Translate business needs into technical reporting requirements, liaising with users to resolve data queries. Manage and maintain ETL processes and troubleshoot data issues, including log analysis and … and automated), extend wiki documentation, and contribute to ongoing development projects. Requirements Experience working within data engineering or analytics in a financial or regulated business environment. Proficiency in Microsoft SQL Server, Azure SQL, SSIS or Azure Data Factory. Strong skills in Excel and Power Query; experience developing reports in Power BI desirable. Knowledge of programming (e.g., C# .NET, PowerShell, Python More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

least one programming language (Python, Java, or Scala) Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Strong understanding of data modelling and system architecture Excellent More ❯

team. Stay up to date with the latest trends and technologies in data engineering and recommend solutions to improve data processing capabilities. Query Optimization & Data Transformation: Write and optimize SQL queries, ensuring data integrity, performance, and scalability, using best practices and techniques Data vault Model implementation: Implement flexible Data vault model in Snowflake to support large-scale analytics and business … knowledge/experience: ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands-on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow Experience in designing and implementing data products and solutions on cloud-based architectures. Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as Snowflake … interacting with stakeholders, presenting technical concepts, and collaborating with cross-functional teams. Collaboration & Communication: Strong interpersonal skills with the ability to work cross-functionally with stakeholders, engineers, and analysts. SQL Proficiency: Expertise in writing complex SQL queries, query optimization, and database design for analytics. Problem-Solving & Analytical Thinking: Ability to think critically and solve complex problems, translating business requirements into More ❯

processes Requirements 2-3 years' professional experience in data analysis, business intelligence, or a related field Strong experience with Microsoft Power Platform (PowerBI, Power Automate, Microsoft Copilot) Proficiency in SQL, Phyton and data querying techniques Experience in data modelling and data warehouse concepts API - data integration methods Excellent analytical and problem-solving skills Strong communication skills with the ability to More ❯

collaborative development experience. Key Responsibilities Lead full stack development for a data analytics platform. Design and integrate RESTful APIs and optimize overall application performance. Manage and query databases using SQL and related tools. Collaborate in an Agile team environment with clear documentation and iterative development. Implement DevOps and security best practices for cloud application development. Apply UX/UI principles … interactive dashboards using Power BI. Required Skills & Experience Cloud Certification: AWS, Azure, or Google Cloud (with hands-on experience in developing cloud applications). Technical Skills: C#, JavaScript, Node.js SQL & Database Management API Development (RESTful) Version Control (Git) CI/CD Pipelines Testing Frameworks Platform Experience: Power Apps Power Automate Azure Functions Apigee Proxy SharePoint Online UI/UX & Data More ❯

tools like Great Expectations or Soda to ensure the accuracy, reliability, and integrity of data throughout its lifecycle. Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI … Actions Tuning and optimizing data processes Qualifications Required Qualifications: · Bachelor's degree in Computer Science or a related field. · Proven hands-on experience as a Data Engineer. · Proficiency in SQL (any flavor), with experience using Window functions and advanced features. · Excellent communication skills. · Strong knowledge of Python. · Familiarity with Azure Services such as Blobs, Functions, Azure Data Factory, Service Principal … using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). More ❯

engineering and industry best practices. Requirements: Proven experience as a Data Engineer (3-5 years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and More ❯

and inquisitive mind, and an openness to new ideas; Professional integrity and a respect for company values. Other requirements Essential Proven experience working in Data Engineering. Proven experience with SQL, SSIS and SSAS. Proven experience with data modelling. Ability to create a strong relationship with stakeholders. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Self … locations. Proven experience with understanding business requirements and translating these into technical deliverables. Motivated to expand technical skills. Desirable Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server. Experience with Azure Data Factory and Databricks (Python). Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles). More ❯

BI dashboards and reporting solutions. Assist with modernising and automating legacy processes. Play a key role in the design, testing, and deployment of new data solutions. Technology Stack: Azure SQL, SSIS, Power BI, PowerShell C# (used for testing automation) Excel/Power Query CI/CD tooling What We’re Looking For: A hands-on data engineer or BI engineer … with solid SQL skills and experience in building or maintaining ETL processes. Someone who thrives in a fast-paced, high-accountability environment with direct access to stakeholders. Experience working in a financial, regulated, or data-critical environment preferred — though not essential. A collaborative mindset, strong communication skills, and genuine enthusiasm for data. This is an ideal role for someone who More ❯

manual and automated testing for new data solutions Engaging directly with stakeholders to gather reporting requirements and resolve ad-hoc data queries Key skills & experience include: Strong experience in SQL Server/Azure SQL Proficiency in ETL processes and Microsoft SSIS or Azure Data Factory Experience working with Microsoft Excel and Power Query Knowledge of Power BI and DAX for More ❯

and grow your skillset. Qualification : BSc or MSc degree in Computer Science, Data Science or a related technical field Python or Javascript development experience(C# Experience is a plus) SQL experience (No-SQL experience is a plus) Experience : 3+ years Experience in Data Engineering Strong Data Engineer Language Skills (Python, SQL, Javascript) Experience of Azure, AWS or GCP cloud platforms More ❯

and ensuring project alignment with organisational goals and standards. What do I need to apply for the role Expert use of Fabric, Azure Data Factory, Azure Synapse. Expertise in SQL and Python. Experience working with relational SQL databases either on premises or in the cloud. Power platform experience is desirable. Experience delivering multiple solutions using key techniques such as Governance More ❯

reporting Ensure data quality, compliance, and adherence to governance standards 🧠 What You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and More ❯

stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD , and More ❯

The Opportunity A leading global consultancy organisation is seeking a skilled Data Architect to design and deliver robust, scalable data platforms on Google Cloud Platform (GCP). The ideal candidate will bring extensive experience in building and maintaining large-scale More ❯

ll Do Integrate new data sources (e.g. D365) into the enterprise data warehouse Design scalable data models and perform source-to-target mapping Build and automate ETL pipelines using SQL, SSIS, and Azure Data Factory Support BI delivery, UAT testing, and project work across teams Contribute to our cloud shift using Azure Synapse and Databricks Maintain technical documentation and support … data governance Tech Stack Platforms: SQL Server, Azure Synapse, Databricks ETL: SSIS (2014–2022), Azure Data Factory BI Tools: Power BI Other: Power Apps, Power Automate, Python or R About You Experienced Data Engineer with strong ETL, SQL, and data modelling skills Proficient in the Microsoft data stack Confident working in Agile teams and regulated environments Strong communicator with a More ❯

for software quality, security, and data governance. Required Skills & Qualifications: 5+ years of hands-on development experience with Endur (Openlink) . Strong proficiency in: JVS/AVS/OpenComponents SQL/PL-SQL Endur data model and trade lifecycle Experience with end-to-end trade processing , including confirmation, settlement, risk, and PnL. Familiarity with energy/commodity trading products (Power More ❯

knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE 250 company, they combine expertise and insight with advanced technology and analytics to address the needs of over … profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal More ❯

within ERP systems as part of transformation and integration projects 🧠 What You Bring: 5+ years of experience in data analytics or reporting Strong skills in Power BI or Tableau, SQL, and Python Experience with cloud platforms (Azure preferred), Alteryx, and Snowflake Hands-on experience with data migration and integration across ERP platforms Essential Bachelor’s degree in Data Science, Computer More ❯

experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing More ❯

independently and see challenges through to resolution Proficient in Microsoft Excel, Visio, and PowerPoint Knowledge, Skills, Experience and Qualifications - Desirable Experience with Power BI, Tableau and SharePoint Exposure to SQL, Python, R and Data Engineering Knowledge of data-related regulatory requirements Knowledge of emerging trends and issues within the Data Management landscape Experience working in regulated frameworks, ideally financial services More ❯

About FairPlay Sports Media: We’re a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners. We empower sports fans with real More ❯

for implementation by development teams. Java 8 and higher; Spring boot (preferable); RDBMS (Oracle, Postgres) Desired; Micro services; Kubernetes Google Cloud Platform (GCP) or any other cloud GKE Cloud SQL Cloud Functions GCS and Labelling Pub Sub and Dataflow Big Query Terraform; GitHub Workflow & Actions; Postgres Performance design (We are migrating from Oracle to Postgres); An understanding of authentication protocols …/GKE/Terraform, Google cloud environment (GKE) App server WebSphere, Jboss, Tomcat, WebLogic Languages C, C++, Java/J2EE Web Development HTML, CSS, JavaScript, JSP, Servlets. Database MS SQL Server2000/2005/2008/R2, PL/SQL, SQL, Oracle 8i/9i/10g, R Directory Server ODSEE 11, Open DJ directory server12, ADLDS, Radiant One, CA More ❯