51 to 75 of 8,577 SQL Jobs

Group of Companies for a Business Intelligence Developer and Data Engineer. This is a hands-on role for someone with strong Power BI and SQL skills who can build high-quality reporting and data solutions, solve complex problems and work confidently across business intelligence and data engineering. What … doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions Building ...

Group of Companies for a Business Intelligence Developer and Data Engineer. This is a hands-on role for someone with strong Power BI and SQL skills who can build high-quality reporting and data solutions, solve complex problems and work confidently across business intelligence and data engineering. What … doing Developing and maintaining Power BI reports, dashboards and semantic models Designing and improving ETL and ELT pipelines using SQL, Python and, where appropriate, PySpark or Spark Working with Microsoft Fabric, Azure data services, data warehouses, lakehouses and data lakes Translating business requirements into practical BI and data solutions Building ...

delivery outcomes. Technical Skills Strong experience designing and delivering modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies . Proven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization . Expertise … building scalable data ingestion, transformation and orchestration pipelines, integrating data from cloud, on‐premises and third‐party business systems. Strong hands‐on capability with SQL, Python, Spark and PySpark for data engineering, analytics and automation workloads. Experience with Azure Databricks and/or Microsoft Fabric engineering workloads, including notebooks, Delta ...

Degree in Computer Science, Data Science, or a related STEM discipline* Strong analytical and problem-solving skills with attention to detail* Experience working with SQL/NoSQL databases* Familiarity with data visualisation tools (e.g. Power BI, Tableau)* Programming ability in Python, R, or Java* Understanding of data modelling, ETL processes ...

Degree in Computer Science, Data Science, or a related STEM discipline* Strong analytical and problem-solving skills with attention to detail* Experience working with SQL/NoSQL databases* Familiarity with data visualisation tools (e.g. Power BI, Tableau)* Programming ability in Python, R, or Java* Understanding of data modelling, ETL processes ...

adoption of AI-enabled analytics such as Copilot and natural-language insight. If you're an experienced BI Developer with strong Power BI, SQL and data modelling skills and want to have a genuine impact on how an organisation uses data, this could be an excellent opportunity. Key Responsibilities Design … experience, including semantic modelling, DAX and Power Query (M). Experience with paginated reporting using SSRS and/or Power BI Report Builder. Strong SQL experience, ideally SQL Server, Azure SQL Database and T-SQL. Experience with ETL/ELT and data integration tools, ideally Informatica. Strong understanding of dimensional ...

database solutions and the scope to imprint your own thinking on how they’re built. You will be working with our enterprise‐level SQL Server core data platform, with the opportunity to expand your horizons by contributing to work across our full stack — C#, Python, Node, React, R, and Machine … Learning and by getting involved as we begin to bring modern data fabrics such as Snowflake and Databricks alongside our SQL Server core. What we are looking for Someone who has grown from strong, hands‐on SQL development into thinking architecturally about data, schema design, data modelling, and the trade ...

data-driven culture within the organisation, mentoring team members, and contributing to the continuous improvement of the Engineering Practice You Will Demonstrate: Proficiency in SQL and Python: You are highly proficient in SQL and Python, enabling you to handle complex data problems with ease. Understanding of Data Lakehouse Architecture … Solutions: You possess experience with Spark-based platforms like Azure Synapse, Databricks, Microsoft Fabric, or even on-premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets. Expertise in Building ETL and ELT Pipelines: You are skilled in building robust ETL and ELT pipelines, mostly ...

solutions. Ensure data accuracy, consistency and governance across reporting layers. Optimise report performance, including query tuning and dataset management. Work with large datasets using SQL and, ideally, Python. Support deployment pipelines and version control practices. Troubleshoot data and reporting issues to ensure timely resolution. Implement data validation, cleansing and reconciliation … experience in Data Analytics or BI development. Strong expertise in Power BI (Desktop & Service) and proficiency in DAX and Power Query (M). Strong SQL skills and experience with relational databases. Solid understanding of data modelling (Kimball/Star Schema). Hands‐on experience with SAP data (ECC, BW extracts ...

Senior Data Engineer - SQL/Azure Data Factory/Fabric - is required by fast growing, international organisation. Job purpose Due to their continued success in their online platform, they are expanding their portfolio to increase their current offerings, adding more products to their corporate intelligence and due diligence solutions. They … Computer Science or a related field, and other professional management training Extensive (5+ years) experience in at least 3 of the following: Azure SQL Server 2022, Azure Data Factory (ADF), Microsoft Fabric, ETL/ELT workflows and Synapse. Architectural experience in Azure Data Warehousing, with bonus points for NoSQL (Cosmos ...

Located anywhere in the UK! Salary: Depending on experience Job Type: Permanent, Full Time We're proud to be a trusted leader in SQL development services, and in database, server, cloud, and application services. We enjoy helping our clients, many of which are well-known household brands, stay connected … seeking an experienced Senior Power BI Developer to design, develop and support modern business intelligence and analytics solutions using Power BI and other SQL Server technologies. About the role: The successful candidate will combine strong technical expertise with excellent stakeholder engagement skills, helping clients and internal teams transform raw data ...

deliver effective solutions. Ensure data quality, accuracy and consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. Manage and optimise Azure … innovation, knowledge sharing and best practice within the Data & Business Intelligence team. Requirements Experience building and managing data pipelines and ETL processes. Strong SQL skills and experience with data modelling. Experience integrating data from multiple structured and unstructured sources. Strong understanding of cloud-based data architecture. Excellent analytical, problem-solving ...

work independently following established patterns. Experience implementing ETL processes ideally in an Azure/MS Fabric environment. Experience and genuine competence in using SQL to query and manipulate data. Proficiency in cloud data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Factory or AWS equivalents. Spark/Pyspark ...

Develop data models and analytics solutions, working extensively with Power BI Integrate internal and third-party systems through APIs Work with Azure Data Lake, SQL Server and SQL Support the existing Synapse environment during the transition to Fabric Use Azure DevOps, Git and CI/CD to develop and deploy … solutions after implementation - supporting them in production, dealing with operational issues and improving them as requirements, volumes and the platform have evolved. Strong SQL and Data Engineering fundamentals ETL/ELT and data modelling Azure data platforms API integration Source control, CI/CD and deployment Experience building, operating ...

data from multiple sources. Develop and maintain reports, dashboards, and data visualizations. Identify trends, patterns, and business opportunities through data analysis. Write and optimize SQL queries for data extraction and reporting. Collaborate with stakeholders to understand business requirements and provide data-driven recommendations. Ensure data accuracy, integrity, and consistency across … Mathematics, Business Analytics, or a related field. 0 3 years of experience in data analysis, business intelligence, or a related role. Strong proficiency in SQL and Microsoft Excel. Experience with Power BI, Tableau, Looker, or similar BI tools. Basic knowledge of Python or R for data analysis is preferred. Understanding ...

disciplinary team. This role is central to delivering Canopius' data strategy through development of new data capabilities and supporting the final transition from legacy SQL Server-based environments. Alongside hands-on delivery, the role provides technical leadership across data engineering initiatives, helping to establish a future-ready, cloud-native data … secure, scalable, maintainable, and aligned with organisational standards and governance requirements. Design, build, and optimise data pipelines on Databricks using PySpark and Spark SQL, applying Delta Lake and a medallion/Lakehouse architecture. Implement data validation and reconciliation checks, and automated testing across pipelines to ensure trusted, accurate outputs. Support ...

hear from you if you have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON ...

optimising for cost and performance Build and maintain Microsoft Fabric artefacts including lakehouses, warehouses, notebooks, dataflows, and semantic models Perform advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting Manage and optimise data models used by Power BI, ensuring good … Understanding of the requirements of stringent data governance Ability to consult with clients Proven experience of mentoring teams Experience of advanced data transformations using SQL, Python, Spark, or Fabric Data Engineering experiences to prepare data for analytics and reporting At Sword, our core values and culture are based on caring ...

data engineering, analytics engineering or data platform roles , typically gained over 5+ years, with experience operating at a senior or leadership level. Advanced SQL and Python skills and experience using them to build reliable, production‐ready data solutions. Strong experience with cloud data warehouses , ideally BigQuery, and a good working ...

data engineering, analytics engineering or data platform roles , typically gained over 5+ years, with experience operating at a senior or leadership level. Advanced SQL and Python skills and experience using them to build reliable, production-ready data solutions. Strong experience with cloud data warehouses , ideally BigQuery, and a good working ...

embedded into business processes and decision-making.**Technical Skills:**Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search ...

data analytics, statistics, accounting, computer science, or related discipline. 4+ years of relevant experience in data analytics, reporting, and visualization. Hands-on experience with SQL and NoSQL databases. Experience with data integration and exchange, transfer, load processes. Experience with data visualization tools such as Tableau, Power BI, or D3.js. Familiarity ...

engineers, analysts and business stakeholders within Agile delivery teams Essential Skills & Experience Strong hands-on experience with Azure Databricks Excellent Python/PySpark and SQL data engineering skills Strong experience designing and developing ETL/ELT and large-scale data pipelines Experience with Apache Spark and Databricks Lakehouse architectures Strong ...

Leadership & Architecture (e.g., pipeline design, engineering standards, technical reviews, technical debt refactoring, mentoring)Fount Platform & Data Engineering (e.g., ETL/ELT pipelines, Python services, SQL layers, API integrations, cloud infrastructure, cost & performance optimization)Analyst Enablement & AI Integrations (e.g., NocoDB configuration, Boolean ingestion, LLM enrichment frameworks, MCP & provider-hosted integrations)What … Jira environment to assess technical feasibility, evaluate trade-offs, and translate product requirements into maintainable, scalable technical solutions.Build and maintain production-ready Python services, SQL transformation layers, star-schema data models, and API integrations across relational databases and cloud storage (Azure Data Lake).Optimise pipeline performance, system reliability, compute efficiency ...

Skills Data engineering: strong proficiency with Apache Spark, dbt, Airflow/Azure Data Factory or equivalent orchestration, Data Lake/Apache Iceberg, and advanced SQL for large‐scale transformations. Microservices & APIs: experience building modular, production‐grade microservices and REST APIs using Python (FastAPI, Flask, or equivalent); understanding of service design … with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/CD, containerization (Docker/Kubernetes), and infrastructure‐as‐code familiarity (Terraform or Bicep). Data governance: experience with data cataloging, lineage, access ...