51 to 75 of 6,982 Permanent SQL Jobs

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 ...

deployments. Troubleshoot production issues and improve platform reliability and supportability. Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions ...

deploy scalable batch and streaming data pipelines, AI-ready data products, feature pipeline and analytics solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL. Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing … building scalable data platforms, data products and analytics solutions using modern lake house or cloud data warehouse technologies Proficiency writing advanced, highly optimised SQL and Spark (PySpark/Scala), with a focus on performance optimisation and maintainability. Designing and building solutions on a cloud data warehouse or lakehouse platform (e.g. ...

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 ...

Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark … data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2 ...

plans, and measurable outcomes. Design, develop, test, implement, and maintain statistical packages, analytical applications, dashboards, automated workflows, predictive models, and decision-support tools using SQL, R, Python, Power BI, and other approved technologies. Use automation, machine learning, natural-language processing, generative AI, or other emerging methods where they provide … provide technical leadership, coaching, and work direction to analysts, contractors, interns, external vendors, and cross-functional project teams. Computer Skills: Advanced proficiency with SQL and hands-on proficiency with R or Python. Experience with Power BI or comparable visualization and business-intelligence platforms. Experience with statistical programming, central monitoring, anomaly ...

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 ...

pull requests and meaningful commit history), and contributing to workspace governance across Dev/Test/Prod environments. Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic and curated layer and data marts. Delivering … role, with at least 2 to 3 years in a Lloyd\'s syndicate, managing agent, London Market broker or specialty (re)insurer. Advanced SQL, including query optimisation and working with the Azure data stack(Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star ...

reliability Develop quick prototypes and high-quality products according to the context Design, code, test, and document complex data engineering scripts and applications using SQL, Python, and software engineering best practices Collaborate with Product Management and stakeholders to understand business requirements and translate them into technical solutions Communicate technical concepts … scientific, computer science, or related discipline Have extensive experience with data analysis, data modelling, and quality assurance techniques Proficiency in SQL and Python Experience developing Python data pipelines with orchestrators such as Airflow Experience making data available in data science and data visualisation tools such as Databricks and Power ...

formulas, macros, and VBA logic into controlled Dataiku processing frameworks. Partner with Dataiku engineers and developers to review application designs, integration components, Python code, SQL logic, reusable recipes, and deployment configurations. Dataiku Application and WebApp Architecture Lead the architecture and design of Dataiku applications and WebApps used as the primary … managed folders, scenarios, plugins, APIs, automation, and deployment processes. Experience designing metadata-driven and configuration-driven data-processing platforms. Strong knowledge of Python and SQL-based data solutions. Experience integrating Dataiku with databases, APIs, file systems, enterprise applications, workflow platforms, and reporting tools. Experience with PostgreSQL, Amazon RDS, or comparable ...

multi-region B2B2C environment. Strong Microsoft Fabric capability, or deep Azure Synapse/Databricks experience with clear ability to specialise quickly in Fabric. Expert SQL/T-SQL plus strong Python or PySpark, with a track record of building maintainable ELT/ETL pipelines and analytical data models. Strong Power ...

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options ...

dimensional data modelling, including support for metadata and data dictionary management. Understanding of data security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency in Python or R for statistical analysis, data wrangling, and automation. Experience building dashboards and visualisations using Power ...

process (eligibility criteria apply). We are looking for a versatile Azure Data & ML Support Engineer with strong expertise in Azure cloud services, DevOps, SQL, and data warehousing to support and optimize ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability … proactive monitoring, issue investigation, automation, and continuous improvement. The ideal candidate will also play a key role in supporting data warehouse systems by managing SQL-based data loads orchestrated through Azure Data Factory (ADF), and by writing and optimizing SQL queries to aid in troubleshooting, data validation, and automation tasks. ...

alongside experienced engineers across: Microsoft Fabric data pipelines Fabric Lakehouse, Warehouse and OneLake Power BI development Data models and analytics solutions ETL/ELT SQL and SQL Server Azure Data Lake Internal and third-party API integrations Azure DevOps and Git CI/CD and production deployments Synapse solutions during … understand what happens afterwards too: monitoring it, supporting users and downstream processes, resolving production issues and improving the solution as the environment evolves. SQL Data modelling ETL/ELT development Azure data platforms and Azure Data Lake API integrations Git/source control Azure DevOps and CI/CD Developing ...

clear value, including integrating AI tools for analysis and AI coding agents into day-to-day workflows Tech stack Azure Databricks (Spark, Delta Lake) SQL Server, Confluent Kafka Scala, SQL, dbt Git, GitHub Actions, Terraform Sigma (BI) Must-have experience Commercial experience as a Data Engineer working with Spark … data platform within the broader platform ecosystem Good Scala skills (or strong PySpark plus a genuine willingness to work primarily in Scala) Strong SQL skills for transformations, data modelling, and debugging data issues Experience building and supporting ingestion pipelines end to end Understanding of data modelling for analytics (star schema ...

processes using Azure Data Factory, Databricks, and Synapse Analytics. Manage and enhance data lakes, data warehouses, and data storage solutions. Develop and optimize SQL queries, data models, and database objects for performance and scalability. Ensure data quality, security, governance, and compliance with organizational standards. Implement CI/CD practices … About you Technical Skills Strong experience with: Azure Data Factory (ADF). Azure Databricks. Azure Synapse Analytics. Azure Data Lake Storage (ADLS). Azure SQL Database and SQL Server. Microsoft Fabric (preferred). Advanced SQL development and performance tuning skills. Experience with Python, PySpark, or Scala for data processing. Knowledge ...

pipelines Hands-on experience designing and delivering solutions using Azure Data Factory, Azure Databricks, Azure Storage, and Azure DevOps Strong proficiency in Python and SQL Experience working with Data Architects for technical design Experience designing data models, including Star Schema, for use in Power BI Insurance analysis, MI, or reporting … ensure data integrity and governance while delivering insights for underwriting and performance analysis. Highest-signal resume keywords Data Engineering Azure Data Factory Python SQL Data Integration Hard Skills Data Management Principles Building Data Pipelines Data Integration Data Modelling ELT Pipelines Designing Data Models Star Schema Machine Learning Infrastructure-as-Code ...

maintaining scalable data pipelines, pulling data in from core business systems and third-party sources. Designing and developing data solutions with Python, PySpark, SQL, notebooks and dataflows across a modern medallion architecture (Bronze, Silver, Gold). Creating and optimising data models that power high-quality Power BI reporting and analytics. … platform goes next, including future analytics, AI and machine learning capability. Candidate Essential Experience, Qualifications and Skills Commercial data engineering experience (4+ years) SQL (4+ years) Python and PySpark (3+ years) Microsoft Fabric or an equivalent Azure data platform (2+ years) Medallion/layered lakehouse architecture (2+ years) Dimensional data ...

that drive commercial success. Key Responsibilities Design, develop, and maintain enterprise-grade Power BI solutions, including semantic models, datasets, and dashboards. Build and optimise SQL-based data models that underpin reporting, forecasting, and analytics use cases. Contribute to the development and optimisation of the organisation’s Microsoft Fabric platform, including … Office in Wolverhampton About You Required Skills & Experience: 5+ years’ experience in business intelligence, data analytics, or BI development, with strong technical ownership. Advanced SQL skills, including complex transformations, performance tuning, and dimensional modelling. Deep hands-on experience with Power BI, including DAX, data modelling, deployment pipelines, and performance optimisation. ...

Analytics, delivering meaningful digital and customer insights. Build and maintain reporting assets, ensuring consistent KPI definitions, calculations and visual standards. Within Databricks use advanced SQL to extract, transform and analyse large, complex datasets from multiple sources. Develop reusable data models and reporting structures that improve efficiency and reporting accuracy. Conduct … practice across the wider marketing function. Essential Skills Proven expertise in Adobe suit including Analytics, Launch, Edge and AEP. Strong hands-on experience using SQL for complex querying, data transformation and analysis. Dashboard development and digital performance measurement. Significant experience designing and building advanced Power BI solutions, including data modelling ...

accelerate change within our industry, and who takes pride in producing accurate, well‐controlled outputs in a regulated environment. You will have strong SQL and advanced Excel skills as standard, with experience of Power BI and Databricks being a distinct advantage. You should be comfortable engaging stakeholders to shape requirements … detail. Demonstrable experience of automating manual, recurring reporting processes and embedding validation, reconciliation and control checks to ensure trusted outputs. Strong T‐SQL skills, writing and optimising queries to build and support complex reporting and data transformations. Advanced Excel knowledge, including the ability to analyse legacy spreadsheets and convert into ...

quality, troubleshoot issues and continuously improve existing engineering processes and workflows. Required Skills Commercial experience in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google BigQuery and Google Cloud Platform. Experience implementing cloud-based data solutions. Experience integrating Salesforce Marketing Cloud ...