1 to 25 of 1,778 SQL Jobs in the South East

to join a growing team to deliver a large data modernisation programme. As a Data Services Data Engineer, you will be responsible for designing, developing, and maintaining our MS SQL Server Data Warehouses and associated data feeds into and out of the warehouses, and developing on our new modern cloud data platform, requiring Snowflake, dbt and Azure Data Factory experience. … of the wealth management industry, including products & services and the associated data, is a plus. Key Responsibilities • Design, develop, and implement data warehouse solutions using Snowflake, Azure, and MS SQL Server. • Develop data models and database schemas that support reporting and analytics needs. • Extensive use of and fully conversant in SQL. • Experience working with programming languages like C#, Python, Java … develop, and deploy SSIS packages and ADF pipelines. • Manage and troubleshoot SSIS packages and ADF pipelines, ensuring data integrity and error handling is robust. • Creation and maintenance of complex SQL stored procedures. • Integrate data from various sources, including flat files, REST/SOAP APIs, and third-party databases, into the data warehouse/platform. • Develop and maintain complex stored procedures More ❯

governance initiative by developing an exceptional reports Model business logic, extract key performance metrics, and create reusable data structures. Maintain data so that it remains available and usable,e.g. SQL (Basic, Advanced modelling, Efficient, Big Data and Programmatic) Support Data munging such as reshaping, aggregating, joining disparate sources, small-scale ETL, API interaction, and automation, e.g. Python Support the data … satisfaction, and more Role Requirements Degree-level education in the relevant subject (e.g. finance, maths, physics, etc.) Other beneficial qualifications (e.g. MBA, CFA, etc.) Proficient in Structured Query Language (SQL), Critical Thinking, R or Python-Statistical Programming, Data Visualisation, Presentation Skills, Machine Learning & Data Science techniques, Econometrics Strong Data Mapping skills, knowledge of Data Warehousing Concepts, and Logical Modelling Skills. … Problem solving Understanding of project management, change management and systems processes Strong interpersonal and presentation skills with the ability to influence others Skills and Abilities Platforms & Tools Languages: Python, SQL, T-SQL, SSIS Methodologies: Agile, DevOps must have Concepts: ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (public Key Infrastructure) and Integration testing Management Duties More ❯

Workato, Celigo, Boomi, MuleSoft), particularly in mid-market enterprise integration scenarios. Deep experience with the design, development, implementation and support of cloud-native data platforms such as Snowflake, Azure SQL Database, Databricks, Microsoft Fabric or Azure Synapse Analytics. Demonstrated success implementing data governance programs with tools like Collibra, Alation, Microsoft Purview, or Informatica, including projects around lineage, cataloging, and quality … rules. Strong hands-on development experience in SQL and Python, with working knowledge of Spark or other distributed data processing frameworks. Design, development and implementation of distributed data solutions using API and microservice-based architecture. Deep understanding of ETL/ELT architecture, streaming, and event-driven processing; familiarity with tools like dbt, Airflow, Kafka, or equivalents. Familiarity with mid-sized More ❯

Development: Create and integrate RESTful and SOAP APIs for internal and external consumption, ensuring smooth data interchange among multiple systems and third-party providers. Database Management: Design and optimize SQL and NoSQL database structures, ensuring data integrity, security, and high performance. DevOps Integration: Collaborate with DevOps teams to automate deployment pipelines and implement continuous integration/continuous deployment (CI/… Hands-on experience with modern frontend frameworks (e.g., Angular, React, or Vue.js) and proficiency in HTML, CSS, and JavaScript. Solid understanding of RESTful API design and implementation. Experience with SQL Server, and familiarity with NoSQL databases. Software Development Lifecycle: Knowledge of Agile methodologies and commitment to collaborative problem solving, efficient coding practices, and timely delivery. Problem Solving: Excellent analytical and More ❯

Analyst skillsets and approaches. Deploying web applications on cloud platforms such as Azure, AWS, or GCP. Experience with Redhat Openshift Container Platform. Experience with React.js. Proficiency in working with SQL and NoSQL databases. Data science techniques, including discrete event simulation. Advanced MS Excel skills, including VBA. Understanding of the UK MoD and Armed Forces. It is a requirement that the More ❯

e.g., Talend, Informatica, MuleSoft). c. Experience with Infor Cloudsuite Applications (M3, LN, Lawson, FSM, GHR) 3. Technical Skills a. Strong knowledge of data modeling and relational databases (e.g., SQL, Oracle, MySQL). b. Familiarity with ETL processes and data transformation techniques. c. Understanding of data governance principles and compliance regulations. 4. Analytical and Problem-Solving Skills a. Ability to 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 ❯

and data engineering, including creating data models, dashboards, and reporting solutions. Additionally, you will contribute to the establishment of the gold medallion data layer for advanced analytics. Collaborating with SQL developers and system experts, you will ensure data is consumed efficiently and support end users by designing, developing, and deploying reports across the organisation. Reporting to the Head of Data … visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. Expertise in writing efficient and robust SQL code to support dimensional data models. Experience gathering reporting requirements and translating them into dashboards and reports. Ability to communicate complex data concepts to non-technical stakeholders. Strong attention to More ❯

to head up a small, agile team focused on end-to-end reporting solutions—spanning regulatory and strategic platforms. This role combines hands-on development with Java , Spring Boot , SQL , and data frameworks, alongside leadership in project delivery and resource planning. You’ll serve as a subject matter expert (SME) across multiple domains, bringing together data integration, analytics, reporting layers … technical guidance. Expertise in Java (essential), with additional skills in C#/.NET development. Proven experience with Spring Boot ; exposure to Spring Batch is a plus. Strong knowledge of SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS More ❯

Implement comprehensive logging, monitoring and alerting tools to manage the platform, ensuring resilience and optimal performance are maintained. Data Integration and Transformation Integrate and transform data from multiple organisational SQL databases and SaaS applications using end-to-end dependency-based data pipelines, to establish an enterprise source of truth. Create ETL and ELT processes using Azure Databricks, ensuring audit-ready … financial data pipelines and secure data exchange with Databricks Delta Sharing and SQL Warehouse endpoints. Governance and Compliance Ensure compliance with information security standards in our highly regulated financial landscape by implementing Databricks Unity Catalog for governance, data quality monitoring, and ADLS Gen2 encryption for audit compliance. Development and Process Improvement Evaluate requirements, create technical design documentation, and work within … Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage, Quality Checks, Master Data More ❯

Data. Must know modern cloud platforms including Azure, GCP, etc and technologies across traditional and contemporary software, with focus as below:Expert understanding: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI.Working Knowledge: Azure WebApp, Azure Networking concepts.Conceptual Knowhow (nice to have): Azure AI Services, ML concepts, Unity … Catalog, Purview. Programming: SQL, Java, C#, C++, Python, R and visualization tools (PowerBI and React) Track record in building and developing successful data teams including mentoring junior staff. Ability to move fast and build prototypes to conduct proof-of-concepts exploring new areas. Proven experience as a Data Architect, with a focus on designing and implementing complex analytical solutions in More ❯

strong attention to data modeling, DAX, and Power Query (M) Contribute to the design of semantic models, data marts, and data warehouse structures Integrate data from various sources including SQL databases, APIs, and cloud storage (e.g., Azure Data Lake, OneLake) Implement and maintain standards around data quality, security, and governance Participate in discussions with cross-functional teams to ensure that … architectural debates Qualifications 5+ years of experience in data engineering with a strong focus on Microsoft Azure Practical experience with Azure Data Factory, Synapse Analytics, Azure Databricks, and Azure SQL Advanced Power BI development skills, including DAX, Power Query, and visual/report design Strong SQL proficiency, including performance optimization and query tuning Extensive, hands-on experience with Microsoft Fabric More ❯

Strong expertise in Power BI (Power Query, Power BI Desktop, Power BI Service, DAX, and M Query) Experience designing data models and ETL processes within Power BI Proficiency in SQL for querying and transforming data from various sources Understanding of Azure services (e.g., Azure Synapse, Azure Data Factory, Azure SQL) Knowledge of Power Automate and Power Apps integration with Power … BI Experience with non-Microsoft data sources (Snowflake, Oracle, PostgreSQL, MySQL, Synapse, Big Query) advantageous Row Level Security (Analysis Services, PowerBI.com, SQL Server) Performance optimisation (Partitioning, Understanding of columnar database concept, SQL indexing) Troubleshooting (SQL Profiler or other profiler tools, Tabular Editor, DAX Studio, Power BI datasets, RLS security) Business & Consulting Skills Strong ability to gather requirements and translate them More ❯

role, with responsibility for data architecture, reporting platforms, and technical team leadership. Extensive hands-on experience with the Microsoft Azure data stack, including Azure Data Factory, Synapse Analytics, Azure SQL DB, Data Lake, Azure Storage, Key Vault, and Databricks. Demonstrated ability to optimise and extend data warehouse and data lake schemas, collaborating with stakeholders to design scalable, performant ETL/… ELT pipelines. Strong proficiency in SQL and Python, with experience using modern data transformation frameworks such as ADF. Experience working with structured and semi-structured data (e.g. JSON, Parquet, CSV, API sources). Proven ability to design and deliver reporting solutions using Power BI or equivalent tools, with a sound understanding of semantic modelling and KPI frameworks. Familiarity with source More ❯

using C#, .NET 6, ASP.NET Core/MVC Frontend development using TypeScript/JavaScript and modern frameworks (Angular, Vue, or React) Design and develop APIs and backend logic using SQL Server and MySQL Collaborate in an Agile environment (Scrum, Sprints, Stand-Ups) Participate in code reviews, unit testing (XUnit, NUnit), and CI/CD pipelines (TeamCity) Work closely with international … experience: 5+ years of Full Stack experience using the Microsoft stack Strong front-end skills using HTML5, CSS3 and a modern JS framework (Angular, Vue, or React) Proficient in SQL development including procedures and query optimisation Experience with source control tools like Git Exposure to Cloudflare, AWS, Terraform (bonus) Familiarity with logging and monitoring tools like ElasticSearch, Rollbar or Sentry More ❯

and principles. Solid understanding of data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies More ❯

driving innovation in cloud, data, AI & automation through our unique products and services. We are seeking a highly experienced Senior Technical Data Platform Consultant with a strong foundation in SQL and a proven track record in data analytics to lead the implementation and adoption of end-to-end data platform services within our clients' environments. This strategic role is central … influence data strategy at an enterprise level, driving innovation and efficiency through Microsoft’s next-generation data services. With deep technical expertise and a hands-on background originating in SQL development and administration, the consultant will also be responsible for supporting SQL modernization initiatives, including SQL Server upgrades, performance tuning, and data platform transformations. The role requires a balance of … secure, and high-performing data platform architectures. Microsoft Stack Delivery – Deliver end-to-end solutions using Microsoft technologies such as Synapse Analytics, Data Factory, Power BI, and Azure SQL. SQL Modernization Projects – Drive SQL modernization projects including upgrades, performance tuning, and migrations to cloud-native architectures. Governance and Standards – Define and promote best practices for data governance, architecture standards, and 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 ❯

scalable solutions for data analysis, integration, and eventual transformation. The chosen candidate will also use data mining to uncover patterns, anomalies and correlations in large data sets and use SQL to manipulate data and support with design of custom solutions for the Corporate Data Cloud platform and other technologies used for MDM. The MDM Solutions Architect will also be heavily … on data migration and reporting using ETL (Informatica, Boomi, DataStage, Matillion etc) and Reporting Tools (Power BI, Tableau) Experience on Snowflake Storage and Database. Thorough experience with writing complex SQL Thorough experience translating business requirement to technical requirements and vice versa Experience with data quality tools Background in engineering, ideally with Java and Python Understanding of the SDLC and agile More ❯

Development: Create and integrate RESTful and SOAP APIs for internal and external consumption, ensuring smooth data interchange among multiple systems and third-party providers. Database Management: Design and optimize SQL and NoSQL database structures, ensuring data integrity, security, and high performance. DevOps Integration: Collaborate with DevOps teams to automate deployment pipelines and implement continuous integration/continuous deployment (CI/… deployment, monitoring, and management of cloud-based applications. Strong proficiency in C#, ASP.NET (or ASP.NET Core) and related frameworks. Solid understanding of RESTful API design and implementation. Experience with SQL Server, and familiarity with NoSQL databases. Software Development Lifecycle: Knowledge of Agile methodologies and commitment to collaborative problem solving, efficient coding practices, and timely delivery. Problem Solving: Excellent analytical and More ❯

Entra ID, MFA, Conditional Access policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps : Familiarity with Azure More ❯

Entra ID, MFA, Conditional Access policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps : Familiarity with Azure More ❯

Entra ID, MFA, Conditional Access policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps : Familiarity with Azure More ❯

Entra ID, MFA, Conditional Access policies, and experience managing servers and virtual environments in Microsoft Azure BI & Data Skills : Experience with other BI platforms (e.g. SAP BusinessObjects, Power BI), SQL, ETL processes, data modelling, and diverse data sources (including SAP HANA). Tableau Tools : Knowledge of Tableau Server Resource Monitoring Tool (RMT) and Content Migration Tool. DevOps : Familiarity with Azure More ❯

Social network you want to login/join with: We are supporting a global technology services provider in the strategic expansion of their Google Cloud Data and AI practice, with multiple opportunities available for experienced professionals across architecture and engineering. More ❯