151 to 175 of 4,048 SQL Jobs in England

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation ...

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks (Spark, Kinesis etc) o Software development best practices including CI/CD, TDD and version control. o Containerisation ...

strategic asset Understanding of engineering platforms and data integration with engineering systems (Great to have skill) Advanced knowledge of data modelling tools, data lakes, SQL, and pipeline design Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders Proficient in Microsoft Fabric platform (Great ...

Data Analytics Lead (Azure PowerBI SQL) Watford/WFH to £100k Do you have strong Data Analytics knowledge? Looking for an opportunity to take ownership and shape the data strategy of a growing company? You could be progressing your career in a senior, hands-on data transformation role; this … concepts, achieve buy-in and manage transformational change. You'll be using modern Microsoft tools within an Azure environment e.g. Fabric, PowerBI and advanced SQL to design and create Data Warehouses and modern reporting tools. Location/WFH: You'll join a collaborative and social team in Watford, three days ...

Data Engineer - Databricks - Oxfordshire (Hybrid) - Azure - Python - SQL - Up to £60,000 We're partnering with a growing professional services organisation that plays a critical role in delivering large-scale infrastructure, engineering and environmental projects across the UK. As the business continues to invest heavily in technology and innovation, data … Databricks. Building and optimising ETL/ELT processes for data ingestion and transformation. Supporting and enhancing a business-critical reporting and analytics platform. Developing SQL and Python/PySpark-based data solutions. Managing and optimising SQL database environments, ensuring performance, reliability and scalability. Collaborating with Data Analysts, BI professionals ...

pipelines that deliver reliable, high-quality data. Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics. Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability. Implement data quality, monitoring and governance controls to ensure trusted, accurate data. Collaborate with BI Developers … robust technical solutions. Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices. What we're looking forStrong SQL skills with experience building and optimising data models. Experience designing and maintaining ETL/ELT pipelines. Experience working with cloud data platforms (AWS preferred).Exposure ...

cloud data warehouse, transforming raw and curated data into trusted, well-documented datasets for business and analytical useImplementing complex data models and transformations using SQL and dbt , with a strong understanding of how upstream transformations feed downstream analytical use casesWorking with existing enterprise data models and dimensional structures, confidently navigating … engineering-led, with enough data engineering experience to work confidently across the full data lifecycle. Essential experienceStrong experience building and maintaining analytics pipelines using SQL-first transformation patterns, ideally with dbtSolid understanding of data warehousing concepts, including how dimensional and analytical models are used downstream, without requiring deep ownership ...

Teams, etc. In-depth knowledge & development experience using Azure integration tools like Data factory, Logic Apps, etc. Along with knowledge of utilizing Azure SQL Server, Data lake, etc. In-depth knowledge & experience using Visual Studio, with one of the programming languages: C#/Java/JavaScript/Python, and PowerShell. …/CD pipeline. Knowledge and some experience of using Serverless, SOAP, XML, REST, JSON, EDI, XSLT, etc. Knowledge and some development experience using MS SQL Server (SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.).Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics ...

facing solutions end to end — focus on local stakeholder engagement, designing data models/warehouses, delivering integrations through APIs, and leveraging AI tools. Strong SQL proficiency is essential, complemented by hands-on experience with reporting and low-code platforms. Responsibilities: Database & Data EngineeringDesign and own the Snowflake data architecture — data … models, schemas, warehouses, RBAC, and performance — as the foundation for analytics and applications across the firm. Write and optimize complex SQL for extraction, transformation, validation, and ad-hoc analysis against Snowflake and other relational databases and build Python-based pipelines and transformations on top of them. Design and maintain integrations ...

Fabric pipelines, Lakehouse and data engineering solutions Introduce consistent engineering approaches across pipelines, permissions, security, refresh processes and development practices Develop and optimise complex SQL queries, transformations and analytical data models Improve data cleansing, quality, governance, monitoring and overall platform reliability Modernise and consolidate data from a mixture of legacy … Silver and Gold Experience modernising or migrating legacy/on-premise data platforms into Fabric or a comparable modern data architecture Strong hands-on SQL expertise, including performance tuning and optimisation Experience designing and developing Fabric pipelines, transformations and analytical data models Strong understanding of data cleansing, data quality, governance ...

high-quality data platform from the ground up. The Role Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles Integrate data from ecommerce, ticketing, and marketing platforms into a central data … experience with Microsoft Fabric (Lakehouse, Warehouse, pipelines). Azure Data Factory experience will also be considered if no working experience with fabric Advanced SQL and strong PySpark experience Proficiency in Python for data processing and API integration Experience building Power BI models and dashboards for business reporting Strong understanding ...

model maintenance. Process Improvement & Automation Proactively identify opportunities to improve reporting processes through automation and simplification. Develop more efficient reporting solutions using Excel, Tableau, SQL, Power BI or other analytical tools. Explore emerging technologies, including AI-assisted analytical tools, that could improve efficiency and insight generation. Support continuous improvement initiatives … PowerPoint , with the ability to translate data into actionable insights. Experience using Tableau, Power BI or similar Business Intelligence tools. Working knowledge of SQL for querying and manipulating data. Experience using reporting databases and data visualisation tools. Experience with Python, Alteryx or AI-enabled analytical tools would be advantageous ...

observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming ...

proven track record of leading data projects in a fast-paced environment. Key ResponsibilitiesDesign, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems … Master's degree in Computer Science, Engineering, or a related field.3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Demonstrated experience with Infrastructure ...

Analyst, BI Analyst, Reporting Analyst or similar analytical role. Strong data literacy and the ability to investigate, interpret and validate complex datasets. Hands-on SQL experience, including querying, joining, transforming and validating data. Practical experience developing data workflows using Alteryx or a closely comparable data preparation/automation platform. Practical … technical stakeholders. Ability to work independently while collaborating effectively within a wider Data & Analytics team. Desirable knowledge: DAX and Power BI data modelling Advanced SQL ETL/ELT processes Data warehouse or DataMart environments Workflow or process automation Data-quality reporting Working with ERP, finance, payroll, HR or operational systems ...

providing technical expertise and advice. Provide updates on projects using project management software Technical & Analytical Duties Design and create multiple and complex datasets using SQL, ensuring they are logical and efficient and optimised. Produce professional, high-quality reports and dashboards, typically using Power BI. Lead on data quality checking, cleansing … risks to delivery. Ensure work is completed to a high standard and handed over professionally when required. Person Specification Experience Essential Technical - SQL - Minimum of 18 months' experience in data transformation and report development using SQL, with a proven ability to work independently and at pace on advanced level problems ...

Data & Analytics team with an exciting plan and long-term vision. We are seeking an experienced data engineer, with skills in Microsoft Azure and SQL, to take a key role in the design, build and deployment of our Azure data platform in line with our enterprise architecture. The Role … Experience of designing and implementing an Azure analytical platform including Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Delta Lake, Unity Catalog, PySpark, SQL, Python, and Azure DevOps. Experience of working with senior stakeholders to articulate the strategy, objectives and benefits of a central enterprise cloud data platform Experience ...

design patterns Experience with at least one modern Python web framework (e.g. Django, Flask, or FastAPI) Solid understanding of relational databases (e.g. PostgreSQL, MySQL, SQL Server) and SQL Experience with version control (Git) and collaborative workflows (e.g. GitHub, GitLab, Bitbucket) Experience with RESTful API design and integration Experience of software ...

with Customer Insights teams to combine quantitative data and customer research into actionable recommendations. Data Management and Reporting - Extract, clean and analyse data using SQL, Python and Excel to support reporting, dashboards and insight packs. Track key customer and business metrics such as NPS, engagement, retention, adoption and usage, while … better ways to use data to understand customers and business performance. Shows a willingness to learn new tools, techniques and technologies, including Python, SQL, Power BI, automation, data science and AI-enabled analytics. Uses evidence objectively, explaining what the data does and does not show, and avoids jumping to conclusions ...

maintaining cutting-edge data solutions within Microsoft Fabric. You'll build and optimise data pipelines, lakehouses and data warehouses, using PySpark, Python, T-SQL and DAX to deliver scalable, high-performing solutions that drive business intelligence and analytics. Working closely with stakeholders across the business, you'll develop robust, secure ...

maintaining cutting-edge data solutions within Microsoft Fabric. You'll build and optimise data pipelines, lakehouses and data warehouses, using PySpark, Python, T-SQL and DAX to deliver scalable, high-performing solutions that drive business intelligence and analytics. Working closely with stakeholders across the business, you'll develop robust, secure ...

with Customer Insights teams to combine quantitative data and customer research into actionable recommendations. Data Management and Reporting - Extract, clean and analyse data using SQL, Python and Excel to support reporting, dashboards and insight packs. Track key customer and business metrics such as NPS, engagement, retention, adoption and usage, while … better ways to use data to understand customers and business performance. Shows a willingness to learn new tools, techniques and technologies, including Python, SQL, Power BI, automation, data science and AI-enabled analytics. Uses evidence objectively, explaining what the data does and does not show, and avoids jumping to conclusions ...

tools- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms- Experience with data analytics platforms (Power BI, Python, SQL, Tableau), or experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson ...

successful Lead Data Engineer will have the following skills and experience: Previous experience leading or managing a Data Engineering team Strong commercial experience with SQL and Python Expertise in building scalable ETL and ELT pipelines Strong understanding of data modelling and modern data architecture principles Experience working with cloud platforms ...

experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. Proven experience in data modelling (end-to-end), including performance optimisation using tools such ...