226 to 250 of 4,038 SQL Jobs in England

annum Team: Work with cross-functional teams and mentor junior engineers Tools: Microsoft Fabric, Azure ML, MLflow, Spark, Python, SQL, CI/CD, and ML frameworks like TensorFlow, PyTorch, Scikit-learn Scope: End-to-end AI/ML solutions for multi-product, multi-region strategy Report To: Head of Data … Engineering, Data Science, Real-Time Analytics) and Azure ML, including MLflow Proficiency with tools such as Apache Spark, Azure Data Factory, GIT, Python and SQL Skilled in developing, training and deploying machine learning models with frameworks like TensorFlow, PyTorch or Scikit-learn Strong understanding of data modelling, data governance, security ...

advanced analytics, data science, machine learning and agentic ai solutions across a variety of use cases Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets Contribute to the design and implementation of scalable data science workflows and best practices ...

maintaining production pipelines and data models. Deep proficiency with Databricks or similar platforms — Delta Live Tables, Unity Catalog, Delta Lake, and PySpark or Spark SQL as primary tools. Strong SQL skills: complex transformations, incremental materialization, schema evolution, and data quality validation. Solid AWS experience relevant to building and operating data ...

maintaining production pipelines and data models. Deep proficiency with Databricks or similar platforms - Delta Live Tables, Unity Catalog, Delta Lake, and PySpark or Spark SQL as primary tools. Strong SQL skills: complex transformations, incremental materialization, schema evolution, and data quality validation. Solid AWS experience relevant to building and operating data ...

major or multiple client projects across our suite of MMM/Data science offerings - Clean and prepare data from multiple sources using Python, R, SQL, Excel, or other tools. - Conduct analyses related to consumer behaviour, market trends, and campaign performance. - Build, maintain, and apply statistical and predictive models, including regression … equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. - Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure, or other cloud/data platforms is a plus. - Experience or willingness to learn visualisation tools such ...

experience in Data Science, Machine Learning or Advanced Analytics roles. Strong hands-on Python experience for data analysis, feature engineering and model development. Strong SQL skills and experience working with complex or sizeable datasets. Solid theoretical and practical understanding of supervised learning, unsupervised learning, statistical modelling, feature engineering, validation, model ...

Quality, Governance & DocumentationBusiness Analysis & Stakeholder SupportAdvanced Analytics & Data ProjectsMust HaveExperience in Business Intelligence, Data Analytics, Analytics Engineering, or a similar data-focused role. Strong SQL skills and experience querying, joining, and validating structured datasets. Experience building dashboards and reports using BI tools such as Tableau, Looker, Power BI, Metabase ...

Azure-based data platforms. Strong understanding of warehousing, datalakes, ETL/ELT, integration, analytics and reporting patterns. Experience with Azure Data Factory, Databricks, Azure SQL, Azure Storage and related services. Experience with APIs and system integrations. Grade‐Based Skills Articulating Ideas: Ability to present technical and security concepts in layman ...

experience with cloud data services (GCP preferred; Azure/AWS acceptable). Practical experience with distributed data processing frameworks such as Spark (Core/SQL/Streaming), Flink, or Storm. Strong knowledge of data ingestion, transformation and messaging systems : Kafka, Pulsar, Pub/Sub, etc. Understanding of designing scalable data ...

ideally bring: Experience in a retail analytics, merchandising or commercial analysis environment. Advanced analytical skills with tools such as Power BI, Tableau, Fabric, SQL, Python or similar. Excellent Excel capabilities, including Pivot Tables and Power Query. Strong numerical and problem-solving skills with the ability to turn complex data into ...

proficiency in Excel and financial modelling.- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.- 3+ yearsof experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based ...

Python applications and services. Strong experience in data engineering, including the design and development of scalable ETL/ELT pipelines. Proven experience working with SQL, relational databases and large datasets. Experience with data processing technologies such as PySpark, Spark or Pandas. Strong understanding of data quality, transformation and integration. Experience ...

Essential Experience/Skills Significant experience leading the design, development, and operation of enterprise‐scale data engineering platforms and teams. Strong technical expertise in SQL and Python, PySpark, or equivalent technologies for data ingestion, transformation, and validation. Experience with Microsoft Fabric or similar modern cloud‐based analytics and data platforms. ...

learn. Desirable Skills Experience with Microsoft Power Apps, Power Automate or Power BI. Experience using Large Language Models (LLMs) or AI APIs. Familiarity with SQL and data visualisation tools. Knowledge of process mapping and business process improvement. Understanding of procurement or supply chain principles (not essential). Benefits Starting from ...

analysis and experiment design. A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential. Expert skills in SQL and databases, able to write structured and efficient queries on large data sets. Experience with dbt is a strong plus, along with Python ...

knowledge. Exposure to equity markets, trading, execution analytics, algorithmic trading or market microstructure. Interest in developing this knowledge (e.g. CFA study) is also valued. SQL and data platforms. Comfortable querying structured data, ideally with experience in Snowflake or similar cloud data warehouses. Data visualisation and design. Experience with dashboarding ...

Business Intelligence Developer - SQL, ETL, Power BI, DAX, Azure Data Factory, Data Warehousing, Reporting & Dashboard Development. Permanent. London Hybrid (3/2). c.£80k -£90k + Bonus + Benefits Global Law Firm seeks an experienced Business Intelligence Developer to join its Business Systems team, supporting and developing a business … turn data into meaningful business insight while ensuring applications remain reliable, scalable and aligned with evolving business needs. The role has three key pillars: SQL Engineering/ETL, Power BI Report & Dashboard Development, and Stakeholder Liaison gathering, defining and maturing requirements for Business Intelligence. You'll combine strong technical capability ...

automated reporting solutions to improve efficiency. Consolidate manual reporting processes into dynamic, self-service dashboards. Develop solutions that connect multiple data sources, including Microsoft SQL Server and cloud-based platforms. Ensure the accuracy, reliability, and completeness of reported data. Act as a central point of contact for reporting and data … activities, including performance and recruitment trends. Support the implementation of modern BI, predictive analytics, and data science techniques. Develop automations and system triggers using SQL to improve operational efficiency. Maintain existing data feeds and support the integration of new systems and databases. About YouWe're looking for someone who enjoys ...

DescriptionRole –Senior Databricks ArchitectTechnology – Databricks (Spark, PySpark/SQL) and data lake architecturesLocation – London, UKCompensation – Competitive (including bonus)Job DescriptionWe are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses on integrating legacy systems … with cloud-native platforms to support analytics, reporting, and domain-owned data products. Primary Skills Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures. Hands-on experience with streaming technologies, especially Kafka/Confluent Kafka. Experience integrating legacy data sources such as DB2 (mainframe) and SQL Server. ...

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 ...

solutions Act as the Snowflake technical SME within delivery teams What you'll need Proven experience designing and implementing Snowflake data warehouse solutions Strong SQL/T-SQL and data modelling skills Experience with Python and ETL development Knowledge of Azure and/or AWS cloud platforms Experience working within ...

solutions. Key responsibilities will include: Designing, building and optimising scalable ETL/ELT data pipelines Developing and maintaining data solutions using Databricks, Python and SQL Supporting the migration of data assets from legacy platforms into modern cloud-based architectures Integrating data from multiple enterprise systems, including Oracle databases Building reusable … experience gained within large-scale or complex enterprise environments. Essential Skills Strong commercial experience as a Data Engineer Hands-on experience with Databricks Advanced SQL development skills Strong Python development experience Extensive experience working with Oracle databases Proven experience designing, building and supporting data pipelines and integration solutions Experience working ...

career Full Stack Engineer to join its Automation & Analytics team in London. This is an excellent opportunity for an engineer with strong Python and SQL skills who wants to build broader expertise across software engineering, cloud, data engineering and AI-enabled applications . Rather than focusing on one part … supporting real production applications and contributing to client projects. Why this role? You’ll gain hands-on exposure to: ☁️ AWS cloud & migration 🐍 Python development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ML and emerging ...

sources such as CRM, sales, real-time and unstructured data Python or C# and a range of associated libraries for data processing and manipulation SQL and no SQL database technologies e.g. Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB Databricks and Azure DevOps ELT/ ...

Azure DevOps) Profile Proven experience as a hands-on Data Architect and strong Azure expertise across: Azure Data Factory (ADF) Azure Synapse/Azure SQL Azure Data Lake (ADLS) Exposure to Microsoft Fabric (highly desirable) Strong background in data warehousing and BI environments Excellent dimensional modelling (Kimball) experience Experience working … closely with BI/reporting teams (Power BI, semantic models, DAX) Confident working across end-to-end data pipelines and integration patterns Strong SQL skills with experience optimising queries and datasets Comfortable guiding and supporting developers without formal leadership responsibility Exposure to metadata management, data governance, and data quality frameworks ...