126 to 150 of 6,318 SQL Jobs in England

solutions. Your responsibilities Design, develop and implement data pipelines to perform (ETL) from multiple sources into Azure Services. Proficiency in programming languages (e.g., Python, SQL, PySpark etc.) and data manipulation tools. Knowledge of DevOps tools Manage and monitor the health of data integration processes, troubleshooting Experience in Data Migrations (Perform ...

solutions in agile environments, with senior-level autonomy on complex builds. Advanced Power BI capability (semantic modelling, DAX, dataflows) and data-visualisation expertise. Strong SQL and data modelling skills, building scalable and performant solutions. Experience with modern data platforms (Databricks lakehouse, Azure cloud data ecosystem).Ability to build trusted, well ...

responsibility Strong hands‐on experience with Microsoft Fabric Deep understanding of: Modern data lakehouse architectures Dimensional and analytical data modelling Data pipeline orchestration Strong SQL skills and experience with distributed data processing Experience designing enterprise-scale analytics platforms in Azure Ability to translate business requirements into robust technical solutions ...

articulate results clearly to both technical and non-technical senior stakeholders. Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP.What will set you apart: Orchestration Mastery: Deep experience with data orchestration tooling ...

delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus. Deep expertise in data pipeline design: batch vs. streaming ...

Modern data platforms: Databricks, Snowflake and cloud‐native data services Data architecture: Lakehouse, medallion, data mesh and domain‐oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data storage: Delta Lake, Apache Iceberg and open table formats Data pipelines: Enterprise‐scale ETL/ELT, batch and streaming patterns ...

driving innovation. As a technology‐agnostic consultancy, we empower you to design the right data solutions for each challenge. With technologies spanning Python, SQL, cloud‐native data services, streaming platforms, and modern data tooling across AWS, Azure and GCP, you’ll have opportunities to deepen your expertise, explore new approaches ...

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and ...

hackajob is partnering directly with Envitia to hire for this role. Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is ...

Senior Data Engineer (Fabric, SQL, Python) Hybrid (2 days in Office) Location: Hertfordshire Salary: £60,000 - £65,000+/20% Bonus Prize Placements are currently working alongside a global leader who are looking to recruit a Senior Data Engineer with expertise working with MS Fabric, SQL and Python. … candidate will have the following technical skills: Proficiency in implementing data pipelines and data literacy: ingesting, processing, cleaning, transforming, and modelling data Proficiency in SQL and Python, along with MS Fabric A good understanding and experience of data visualisation through BI tools such as Power BI or Tableau Excellent communication ...

pathways, execute data compliance frameworks, and optimise our internal workflows to maximize process efficiency and operational stability. What You'll Bring: While our traditional SQL platform remains the core of our business for the foreseeable future, we are rapidly scaling our modern data architecture. We are seeking a Senior Developer … blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands-on experience with Azure Data Lake and Databricks. Data Integration (ETL): Proven capability in building efficient data pipelines using Azure ...

Master's degree in mathematics, statistics, computer science, data science or a related quantitative field Advanced proficiency in Python, R and Structured Query Language (SQL) Experience using database platforms Strong communication skills and ability to explain complex concepts to technical and non-technical audiences Ability to collaborate across functions … operations is preferred Core Competencies Demonstrates expertise in data analytics and quantitative modeling within investment management, utilizing advanced programming skills in Python, R, and SQL to develop data solutions and performance attribution systems. Strong ability to collaborate across teams and communicate complex concepts effectively. Highest-signal resume keywords Data Analytics ...

experience of query language, data mesh methods and data transformation tools which may include but are not limited to: - Data Querying - Structured Query Language (SQL), Python – Essential, C# -ideal Database & Fabric – Snowflake, Promethium and Microsoft Fabric Version Control – Git, DataOps.live, and experience of CI/CD for data pipelines. Good ...

engineering, data management, project controls analytics, commercial analytics, or capital‐project data. Exceptional candidates with fewer years may be considered where they demonstrate strong SQL, Power Query/Power BI, data modeling, validation, documentation, and controlled data maintenance, with relevant exposure to cost, schedule, or project data. Advanced analytical foundation … Excel and Power Query, SQL and Power BI or equivalent tools. Demonstrated data management ability to structure, validate, reconcile, and document complex datasets from multiple sources, including ambiguous or messy source data. Strong understanding of data modeling concepts and practices, including schemas, keys, reference data, hierarchy, and lineage. Experience maintaining ...

engineering, data management, project controls analytics, commercial analytics, or capital-project data. Exceptional candidates with fewer years may be considered where they demonstrate strong SQL, Power Query/Power BI, data modeling, validation, documentation, and controlled data maintenance, with relevant exposure to cost, schedule, or project data.* Advanced analytical foundation … Excel and Power Query, SQL and Power BI or equivalent tools.* Demonstrated data management ability to structure, validate, reconcile, and document complex datasets from multiple sources, including ambiguous or messy source data.* Strong understanding of data modeling concepts and practices, including schemas, keys, reference data, hierarchy, and lineage.* Experience maintaining ...

governance, data quality, or analytics transformation programs Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Experience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls Preferred Qualifications, Capabilities, and Skills Strong proficiency … data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP) Experience with data visualization and reporting tools (e.g., Tableau, Power BI) to deliver executive dashboards and performance metrics Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms ...

Advanced technical proficiency in Power BI and enterprise reporting, including data modelling, DAX, semantic models, reusable datasets, composite models, and automated reporting pipelines. Strong SQL or equivalent query language capability, including designing, optimising, and troubleshooting complex queries, stored procedures, and transformations across relational and analytical data environments. Hands-on expertise ...

policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache Spark on AWS EMR Familiarity with basic data structures ...

Analytical Econometric analysis, statistical modeling, demand/supply forecasting, scenario analysis, backtesting, and supply/demand balance modeling Programming & Data Tools Python (pandas, NumPy), SQL, VBA, Advanced Excel, API integration, Power Query; familiarity with R, MATLAB, or C++ a plus Visualization & Dashboarding Power BI, Tableau, or similar tools for creating ...

work with audiences ranging from analysts to senior leadership. Proficiency in data modelling, data transformation, and connecting Power BI to various data sources (e.g. SQL, Excel, ERP systems). Strong analytical and problem-solving skills with a proactive, solutions-oriented mindset. Desirable Skills & Experience The following are not requirements … transformation. Experience working with financial systems such as Elite 3E, Aderant, or SAP. Exposure to other BI or analytics tools (e.g. Tableau, Qlik, or SQL Server Reporting Services). Personal Attributes Highly organised with strong time management skills and the ability to prioritise effectively in a fast-paced environment. Collaborative ...

solutions Ensure solutions meet security, governance and compliance requirements What we're looking for Strong commercial Python development experience, ideally within Data Engineering Strong SQL and experience building data pipelines/ETL/integrations Good experience with Microsoft Azure Experience working with APIs, JSON/XML and multiple data sources … DevOps practicesl Strong problem-solving and communication skills Azure experience Experience with technologies such as Azure Data Factory, Databricks, Functions, Logic Apps, Synapse, Azure SQL or Service Bus would be beneficial. You don't need experience with every Azure service. We're particularly interested in strong Python/Data Engineering ...

solutions Ensure solutions meet security, governance and compliance requirements What we're looking for Strong commercial Python development experience, ideally within Data Engineering Strong SQL and experience building data pipelines/ETL/integrations Good experience with Microsoft Azure Experience working with APIs, JSON/XML and multiple data sources … DevOps practicesl Strong problem-solving and communication skills Azure experience Experience with technologies such as Azure Data Factory, Databricks, Functions, Logic Apps, Synapse, Azure SQL or Service Bus would be beneficial. You don't need experience with every Azure service. We're particularly interested in strong Python/Data Engineering ...

planning. Essential Skills and Experience Required Proven experience designing, building and maintaining scalable data pipelines and cloud‐based data platforms in production environments. Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations. Strong Python skills for data engineering, automation and system integrations. Hands‐on experience with Snowflake ...

around the Microsoft data stack, so we’re looking for someone with strong experience across either Microsoft Fabric or Azure data services, alongside solid SQL, data modelling and ETL capabilities. What you’ll be doing Designing and building reliable data pipelines to ingest data from a range of internal … analytics Designing appropriate database structures, schemas and data models Ensuring data quality, integrity, security and performance across the data platform Working extensively with SQL and the wider Microsoft data ecosystem Supporting the development of reporting and self-service analytics solutions Building and developing Power BI dashboards where required Working with ...

data transformation Optimise report/dataset performance and manage deployment across environments Implement governance standards (naming conventions, documentation, RLS) Validate data via SQL and translate business requirements into BI solutions across Finance, HR, R&D and other teams What You'll Bring 5+ years in Data Analytics/BI, with … proven Power BI delivery in production Advanced Power BI (data modelling, DAX) and advanced SQL Experience with enterprise data warehouses, medallion architecture, Kimball methodology Strong grasp of BI performance optimisation Microsoft Fabric familiarity (Lakehouse, Dataflows Gen2) Strong stakeholder management and communication skills Good to Have Azure/AWS/ ...