501 to 525 of 3,863 Remote/Hybrid SQL Jobs

undergraduate degree. It would also be beneficial, but not essential, to demonstrate the following: Ability to process and analyse large volumes of data (e.g. SQL, Alteryx). Familiarity with at least one data visualisation tool (e.g. Power BI, Tableau). Familiarity with modern data platforms (e. g. Databricks, Snowflake). ...

management (Git) Desirable MVC, React, TypeScript, Bootstrap Azure DevOps (CI/CD), Azure Web App services Progress Telerik Development Tools Technical knowledge of MS SQL relational databases, database design and the Structured Query Language. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions ...

maintain ETL/ELT pipelines to ingest, transform, and prepare data Develop and optimise datasets for reporting and analytics Implement data transformations using SQL and Python (incl. PySpark) Monitor, troubleshoot, and improve performance of data pipelines and queries Apply data quality controls and maintain clear documentation Contribute to ongoing improvements … improvement Support incident management and ongoing maintenance of BI solutions Skills & Experience Experience with AWS data services (e.g. Redshift, Athena, S3, Glue, Lambda) Strong SQL skills Exposure to SnapLogic or similar integration platforms Proficiency in Python (including PySpark) Familiarity with modern data tooling (e.g. open table formats, DuckDB beneficial) Experience ...

engineering transformation and automation initiatives, delivering scalable solutions using UiPath while also developing supporting applications, integrations and services using C#/.NET and SQL technologies. Working within an Agile delivery environment, you will collaborate with business stakeholders, application teams, infrastructure engineers and architects to identify automation opportunities, streamline operational processes … C#/.NET. Build and maintain integrations with internal and external platforms using REST APIs, web services and message-based interfaces. Design and develop SQL‐based data processing, reporting and automation capabilities. Work with SQL Server and Oracle databases to support automated workflows and data management requirements. Production Support & Continuous ...

collaborative, senior-led environment. What You'll Be Doing Design, build and support cloud-based services in .NET 10 across Azure API Management, Azure SQL and the wider Azure platform. Help modernise a business-critical booking platform using an incremental strangler-fig migration approach. Work on anti-corruption layers …/C#. Recent experience with modern .NET, ideally .NET 8 or later. Blazor experience. Strong Azure experience, including App Service or Container Apps, Azure SQL, API Management and Azure DevOps pipelines. Experience modernising legacy systems, ideally using strangler-fig or similar incremental migration approaches. Good understanding of REST API design ...

collaborative, senior-led environment. What You'll Be Doing Design, build and support cloud-based services in .NET 10 across Azure API Management, Azure SQL and the wider Azure platform. Help modernise a business-critical booking platform using an incremental strangler-fig migration approach. Work on anti-corruption layers …/C#. Recent experience with modern .NET, ideally .NET 8 or later. Blazor experience. Strong Azure experience, including App Service or Container Apps, Azure SQL, API Management and Azure DevOps pipelines. Experience modernising legacy systems, ideally using strangler-fig or similar incremental migration approaches. Good understanding of REST API design ...

engineering transformation and automation initiatives, delivering scalable solutions using UiPath while also developing supporting applications, integrations and services using C#/.NET and SQL technologies. Working within an Agile delivery environment, you will collaborate with business stakeholders, application teams, infrastructure engineers and architects to identify automation opportunities, streamline operational processes … C#/.NET. Build and maintain integrations with internal and external platforms using REST APIs, web services and message-based interfaces. Design and develop SQL-based data processing, reporting and automation capabilities. Work with SQL Server and Oracle databases to support automated workflows and data management requirements. Production Support & Continuous ...

cross-team reviews and helping define what production-grade analytics looks like at Pleo. For extra context, you'll also be leveraging technologies including SQL, dbt, BigQuery, Looker, Amplitude, HubSpot, Zuora, or Vitally. What you bring Prior experience operating at Staff or Lead level in data analytics or analytics engineering … roles in a fast-paced SaaS organisation. Expert knowledge of SQL and dbt: you write clean, tested, well-architected models and can make and defend layering decisions for a team, not just yourself. Solid proficiency with Python for data analysis and manipulation. Comfort with Git-based workflows and CI/ ...

cross-team reviews and helping define what production-grade analytics looks like at Pleo. For extra context, you'll also be leveraging technologies including SQL, dbt, BigQuery, Looker, Amplitude, HubSpot, Zuora, or Vitally. What you bring Prior experience operating at Staff or Lead level in data analytics or analytics engineering … roles in a fast-paced SaaS organisation. Expert knowledge of SQL and dbt: you write clean, tested, well-architected models and can make and defend layering decisions for a team, not just yourself. Solid proficiency with Python for data analysis and manipulation. Comfort with Git-based workflows and CI/ ...

data transformation, combining technical depth with commercial leadership and the ability to influence stakeholders across the business. Must-Have Advanced Power BI, Excel, SQL and Python capability Experience with Azure data environments and Azure Data Factory Strong knowledge of data platforms, pipelines, integrations and governance Experience delivering automation … governance experience Experience developing client-facing data or analytics services Strong statistical analysis and insight generation capabilities Tagged as: Azure, Excel, Power BI, Python, SQL #J-18808-Ljbffr ...

data transformation, data warehouse, BI, MI, AI, and machine learning Willing to take and pass AWS certifications as necessary for the role Strong SQL, T-SQL and query writing skills to intermediate level Understanding of ETL and data transformations Experience in using GIT & Jira tools Experience in, or understanding ...

technical solutions. API Development: Helping build and document APIs that deliver a seamless data experience for internal and external stakeholders. Database Operations: Working with SQL and NoSQL databases, helping to optimize schemas and write efficient queries to support high-volume transactions. Billing Infrastructure Support: Contributing to a reliable billing architecture … Language Foundation: 2–3 years of experience (including internships or intensive projects) in any programming language development. Database Basics: Academic or professional exposure to SQL; you should be comfortable writing queries and understand basic schema design. Version Control: Familiarity with Git and a basic understanding of CI/CD concepts. ...

existing teampatterns and standards. Implement changes to existing pipelines and tables in response to defined requirements,including backfills and schema updates. Write and optimise SQL for large-scale datasets; investigate and fix data quality issues raisedthrough monitoring or stakeholder reports. Add and maintain data quality checks, tests and documentation … management Requirements Bachelor's degree in computer science, engineering, or a related technical field, or equivalentpractical experience. 5+ years building production data pipelines. Strong SQL, including performance tuning on large tables. Python for data transformation and pipeline orchestration. Experience with a distributed query engine (Presto, Spark, Hive or similar ...

bring Experience designing, buildingand supporting Snowflake data warehouse solutions. Experience delivering data engineering, analyticsor data warehouse solutions in cloud environments, ideally Azure. Strong SQL capability and experience building scalable ELT or data pipelines for structured and semi-structured data. Understanding of data modelling, data marts, metadata-driven development, data dictionaries ...

technical expertise in business intelligence tools, the design and development of data analytics solutions and reports, and querying databases with SQL. Solid hands-on SQL skills — writing and optimising queries, joins and aggregations against large datasets. Prior experience working on projects related to data management and/or business intelligence. … understanding of the gaming and sports betting industry is a strong advantage. Experience working with Amazon Redshift, Amazon Athena and/or Microsoft SQL Server is a benefit. OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social ...

Chain Management, Business Analytics, Engineering, Economics, Mathematics, or a related discipline Proficient in Microsoft Excel modelling and PowerPoint, with exposure to Power BI, Tableau, SQL, or Alteryx highly desirable Practical understanding of cost-benefit analysis and financial modelling for operational improvement initiatives Competency or exposure to Lean, Six Sigma, Change ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...

written and the engineering problems you had to solve. Solid experience with modern data engineering tools and patterns, with real depth in several of SQL, Spark, Databricks/Delta Lake, orchestration tools (Dagster, Airflow, Temporal), and dbt. Comfort with modern deployment practices: CI/CD, containerisation (Docker), and cloud-based … domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus, but it will help as our platform ...