251 to 275 of 3,478 Remote/Hybrid SQL Jobs

sources and turning it into useful, decision-ready insight. You can combine analytical rigour with commercial judgement. You are comfortable using tools such as SQL, Excel, Power BI, Tableau, Looker, analytics platforms or similar. You can explain complex findings clearly to different audiences, including senior stakeholders. You enjoy working across ...

. Advanced proficiency in at least one programming language commonly used in data engineering (Python preferred; Scala, Java, or C# also beneficial). Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles. Solid experience with data modelling methodologies (dimensional modelling, star/snowflake ...

years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines that other people depend on Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries Hands-on experience building and operating data pipelines with an orchestration ...

years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines that other people depend on Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries Hands-on experience building and operating data pipelines with an orchestration ...

years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines that other people depend on Strong SQL - you can write, read and reason about the performance of non-trivial analytical queries Hands-on experience building and operating data pipelines with an orchestration ...

growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work supporting areas including … risk analytics, VaR and stress testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues ...

growing Data Engineering function, working on critical data infrastructure across the business. Youll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work supporting areas including … risk analytics, VaR and stress testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues ...

Data Engineering function, working on critical data infrastructure across the business. You’ll build and enhance modern data solutions using Snowflake, AWS, Python and SQL , working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work supporting areas including … risk analytics, VaR and stress testing. Key Responsibilities Build and enhance scalable data pipelines and infrastructure Develop Python ETL/ELT pipelines and complex SQL models Design and optimise Snowflake data solutions Integrate and manage large-scale financial and historical data Identify and resolve data quality and data integrity issues ...

8+ years .NET/C#/ASP.NET MVC/Web API Hands-on legacy ASP.NET .NET 6/7/8/10 modernization SQL Server, T-SQL, Stored Procedures & Performance Tuning Azure App Services & Azure Functions Azure DevOps CI/CD RESTful APIs & API-first architecture React Agile/ ...

Data Engineering function, working on critical data infrastructure across the business. You'll build and enhance modern data solutions using Snowflake, AWS, Python and SQL, working with large-scale financial and historical data. The role sits closely with Market Data, Quant and Risk teams, with your work supporting areas including … market risk analytics, VaR and stress testing. Key ResponsibilitiesBuild and enhance scalable data pipelines and infrastructureDevelop Python ETL/ELT pipelines and complex SQL modelsDesign and optimise Snowflake data solutionsIntegrate and manage large-scale financial and historical dataIdentify and resolve data quality and data integrity issuesWork closely with Data, Quant ...

closely with stakeholders across departments to turn data into actionable insight. This is a strong opportunity for an analyst with solid BI tooling and SQL experience who wants to take ownership of reporting infrastructure and play a key role in shaping data-driven decision-making across the business. Key Responsibilities … Design, build and maintain dashboards and reports using Power BI (or similar BI tools) Write and optimise complex SQL queries to extract, transform and model data Partner with stakeholders across the business to understand reporting requirements and translate them into technical solutions Develop and maintain data models to support scalable ...

Data Engineer - Databricks, Python, SQL & Oracle 6-month contract | £400-£450 per day | Hybrid - London, 3 days per week About the role We are looking for an experienced, hands-on Data Engineer to join a major data transformation and cloud modernisation programme within a highly regulated banking environment. You will … should be comfortable working independently, partnering with business and technology stakeholders, and delivering high-quality solutions with minimal supervision. Data Engineer - Databricks, Python, SQL & Oracle 6-month contract | £400-£450 per day | Hybrid - London, 3 days per week Contract details Day rate: £400-£450 per day Duration: 6 months Start ...

Data Engineer - Warrington Data Engineer with excellent experience in data engineering, data development, data integrations, SQL, Python, data warehousing, & Azure data platforms is required by a leading company near Warrington. Any experience with Snowflake, Kimball, Databricks, & ThoughtSpot would be a bonus. The role can be Hybrid, with 2 days … they are seeking a Data Engineer to join a growing data team and help shape the future of their data platform. Key Skills: * Strong SQL development experience as a Data Engineer/Data Developer * Experience developing data integrations and working with APIs. * Experience using Python or another programming/scripting ...

elements of the end-to-end BI lifecycle. You will: Design and maintain scalable Power BI dashboards, semantic models and datasets. Build and optimise SQL data models supporting analytics, reporting and forecasting. Develop solutions within Microsoft Fabric, including Lakehouse, Warehouse and data pipeline capabilities. Design and maintain … professionals while helping establish technical best practice. Your Skills & Experience You will bring: Strong commercial experience across business intelligence, analytics or BI development. Advanced SQL skills covering complex transformations, dimensional modelling and performance optimisation. Deep hands-on Power BI expertise, including DAX, data modelling, deployment pipelines and optimisation. Experience with ...

fast-growing global organisation is looking for an experienced Senior Data & BI Engineer to play a key role in its transition from a SQL Server-led environment to a modern, scalable data platform built around Azure Databricks and Python. This is not a traditional reporting role - You'll work across … semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark and SQL ·Develop scalable Lakehouse architecture using Delta Lake and Unity Catalog ·Build data and BI products from scratch and own them through to implementation ·Connect marketing ...

extensive benefits package. What you'll be doing Design, build and maintain scalable data pipelines and data products using Databricks , PySpark, Spark SQL and Delta Lake. Develop and optimise ETL/ELT processes to ingest, transform and curate data from internal and external systems. Shape enterprise data architecture, balancing scalability … mature a growing data function. What you need to bring “Senior” level experience in data engineering, with strong hands‐on Databricks skills (PySpark, Spark SQL, Delta Lake, etc) Advanced SQL and Python coding skills. A track record of building and optimising enterprise-scale data pipelines and ETL/ELT solutions. ...

ensure data platforms evolve in line with the organisation’s expanding requirements. You will be working primarily within the Microsoft Azure ecosystem, including Azure SQL Server, Azure Data Factory, and Azure DevOps. Required Skills Strong Python experience for data engineering Strong experience working with SQL Server Strong experience working with … Analysts within the business You will be responsible for the design, build, and maintenance of Python-based ETL pipelines Accounting and leading the SQL development Data lake development within Azure Synapse, working to the organisation’s architecture standards Meeting with business stakeholders to define requirements and translate them into solution ...

continuous improvement across the data community What you’ll have: Essential experience: Strong background in analytics engineering, with experience delivering complex transformations using SQL-first approaches, ideally with dbt Delivery-focused analytics engineering leader who combines technical depth, attention to detail, and people leadership. Proven experience understanding, reviewing, and guiding … implementation of complex data models across staging (Silver) and warehouse/data-mart (Gold) layers Advanced SQL capability, with confidence reviewing, optimising, and assuring the quality of complex transformations Experience working with a modern cloud data warehouse, ideally Snowflake, or alternatives such as BigQuery, Redshift, or Synapse Experience working ...

pipelines and platforms behind analytics, reporting, AI and machine learning Qualifications Ind Standard Skills Strong expertise across data engineering tooling & platforms: pipelines, cloud DS, SQL, Python, machine learning & AI driven analytics Vitality HI - Emp Assistance Prog - Hols =30 days a year + BH - Prof development inc funded quals Additional Benefits … escalation risk across your area of responsibility What you will need Strong expertise across data engineering tooling and platforms: pipelines, cloud data services, SQL and Python, with machine learning pipelines and AI driven analytics, built for reliability and scale A solid grounding in data governance, data quality, security and lineage ...

deploy machine learning and statistical models to solve business problems. Analyse large and complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers … confidently work with both technical and non-technical stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings ...

wider Microsoft suite Strong analytical and commercial capability with the ability to identify trends, risks, opportunities, and root causes from multiple data sources Strong SQL, Excel, and data handling skills with confidence working across complex datasets, ad hoc business questions, and cloud-based data environments such as Azure, Fabric … similar technologies Strong technical toolkit including Power BI, Microsoft tools, SQL, Azure, Fabric, or similar cloud technologies used to support scalable reporting, insight, and analytics delivery Excellent storytelling, communication, and influencing skills with the ability to translate analysis into clear narratives, recommendations, and action for a range of stakeholders Highly ...

tech for the right task, you can expect to work with the following technologies to ensure scalable, high‐performance applications and reproducible analytical pipelines: SQL Excel Python What you can expect In the UK our healthcare experts work extensively with individual trusts, Integrated Care Systems, NHS England, DHSC and other … values. To use a range of different tools and technologies depending on the specific task, these include: Databricks, Python, PySpark, R, Excel, Palantir Foundry, SQL and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles ...

agreed service expectations. Identify data quality and timeliness issues, determine root causes, and work with internal teams and external suppliers to resolve them. Use SQL, Python and other data tools to analyse large datasets, investigate data quality issues, automate repeatable tasks and strengthen operational controls. Build and maintain effective relationships … manage a varied workload. Curiosity and willingness to develop expertise in ESG data, sustainable investing and related regulatory requirements. Technical skills Working knowledge of SQL, including querying, joining and validating data to support investigation and control activities. Working knowledge of Python for data analysis, data quality checks and process automation. ...

agreed service expectations. Identify data quality and timeliness issues, determine root causes, and work with internal teams and external suppliers to resolve them. Use SQL, Python and other data tools to analyse large datasets, investigate data quality issues, automate repeatable tasks and strengthen operational controls. Build and maintain effective relationships … manage a varied workload. Curiosity and willingness to develop expertise in ESG data, sustainable investing and related regulatory requirements. Technical skills Working knowledge of SQL, including querying, joining and validating data to support investigation and control activities. Working knowledge of Python for data analysis, data quality checks and process automation. ...

Strong commercial experience designing and building dashboards and reports in Power BI and/or Tableau, including data modelling and DAX or equivalent. Strong SQL and confidence working with complex, imperfect data. Proven ability to translate business requirements into defined metrics, reporting models and clear visual outputs. A strong visual … management skills, including with senior and executive audiences. Comfortable working within a fast-paced, collaborative consultancy environment. Desirable Experience working with Databricks, including Databricks SQL and AI/BI dashboards. A background in management consultancy or a specialist data practice. Experience in public sector, higher education or other regulated environments. ...