1 to 25 of 104 Remote/Hybrid SQL Jobs in Scotland

designing, developing, and implementing data, BI, or analytics solutions, including data pipelines, ETL/ELT processes, and data platform componentsStrong technical capability, including SQL and (ideally) Python, with an understanding of cloud and modern data architecture conceptsExperience working with data warehouses and enterprise BI tools, alongside knowledge of data modelling ...

designing, developing, and implementing data, BI, or analytics solutions, including data pipelines, ETL/ELT processes, and data platform componentsStrong technical capability, including SQL and (ideally) Python, with an understanding of cloud and modern data architecture conceptsExperience working with data warehouses and enterprise BI tools, alongside knowledge of data modelling ...

understanding of data analysis principles and marketing analytics, including concepts such as customer segmentation, attribution, funnel analysis, and campaign performance measurement. Basic proficiency in SQL and/or programming languages such as Python or R, with a strong motivation to develop deeper data engineering and analytics skills. Familiarity with data ...

limits of what’s possible Here’s what we’re looking for: Analytics & Data Skills:Proficiency in using analytics tools (e.g., Power BI, SQL, Python) for data transformation, visualization, and predictive modelling.Experience with data integration and ETL processes; familiarity with PMO systems like PRISM, Primavera and Aconex is a plus.Problem ...

experience, configuring or restructuring NetSuite specifically to support revenue reporting or GL/segment design. • Experience with subscription, recurring, or churn-based revenue reporting. • SQL or other data query skills. • Part-qualified or qualified accountant (ACA, ACCA, CIMA) — desirable but not required. • Experience using AI tools to enhance financial analysis ...

thrive. Some of the things you’ll need... 3+ years' experience delivering analytics, business intelligence or data science solutions in a commercial environment Strong SQL skills and experience working with cloud‐based data platforms, particularly GCP and BigQuery Experience using data to solve business problems, identify opportunities and influence decision ...

experienced Lead Data Engineer to join our growing Data Practice, working on a Financial Services engagement centred on a large, long‐lived SQL Server estate. You'll work as part of a multidisciplinary team helping a major FS client understand and de‐risk a database landscape that has grown, unchecked … over 15 years of trading activity. This is a role for someone who is comfortable going in without a map: a single SQL Server RDS instance holding around 1,100 tables and fifteen years of trade data, with no archiving strategy, no inventory of stored procedures, and tables duplicated across ...

related field is preferred. 5+ years of professional experience as a Data Architect, Enterprise Architect, or a similar role. 10+ years of experience with SQL, Data modeling, optimizing and structuring queries to be used across disparate datasets. 5+ years of experience designing and building data pipelines (e.g., Databricks, Snowflake, Glue ...

Engineering Foundation: Practical experience with data modelling, ETL/ELT, and a variety of database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and an open-minded approach to tech stacks—ranging from SSIS and stored procedures to Airflow, Spark, Databricks, or Fabric. Cloud Capability: Experience with ...

milestones, and delivery outcomes.It would be advantageous if you also have:Experience working with a Logical Data Warehouse and data modelling approaches Experience using SQL to query and interrogate data Experience working in data pipelines or backend data environments, rather than front-end analytics tools Experience of Agile or DevOps ...

milestones, and delivery outcomes.It would be advantageous if you also have:Experience working with a Logical Data Warehouse and data modelling approaches Experience using SQL to query and interrogate data Experience working in data pipelines or backend data environments, rather than front-end analytics tools Experience of Agile or DevOps ...

will have strong technical capability, including experience in data warehousing, ETL/ELT development, and working with structured and semi-structured data, alongside advanced SQL skills. You will be confident in translating business requirements into technical solutions and delivering high-quality outputs to solve complex problems. Experience of working across ...

will have strong technical capability, including experience in data warehousing, ETL/ELT development, and working with structured and semi-structured data, alongside advanced SQL skills. You will be confident in translating business requirements into technical solutions and delivering high-quality outputs to solve complex problems. Experience of working across ...

Core Data Engineering Foundation: Practical experience with data modelling, ETL/ELT, and various database technologies. Technical Versatility: Fluency in data processing languages (Python, SQL, PySpark) and openness to tech stacks such as SSIS, Airflow, Spark, Databricks, Fabric. Cloud Capability: Experience with at least one major cloud provider (AWS, Azure ...

Utilize AWS services to build and deploy cloud-based solutions, ensuring high availability and scalability.Database Management: Design, implement, and maintain database schemas, write complex SQL queries, and optimize database performance.Batch Processing: Develop and manage batch processing systems to handle large volumes of data efficiently.Code Quality: Ensure code quality through code ...

solution Qualifications: Degree in finance, engineering, mathematics, quantitative or related discipline. Bachelors degree is required. Advance degree preferred. Proficient with technical tools such as SQL, Python, Jupyter Notebook, Unix commands, etc. Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus. Our benefits To help you stay ...

solution Qualifications: Degree in finance, engineering, mathematics, quantitative or related discipline. Bachelors degree is required. Advance degree preferred. Proficient with technical tools such as SQL, Python, Jupyter Notebook, Unix commands, etc. Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) designation is a plus. Our benefits To help you stay ...

development and implementation of data, BI and analytics solutions, including data warehousing, ETL/ELT pipelines and enterprise reporting solutions• Strong technical expertise, including SQL and Python, and experience in coding, data processing and performance optimisation• Proven ability to provide expert technical analysis and advice to stakeholders ...

development and implementation of data, BI and analytics solutions, including data warehousing, ETL/ELT pipelines and enterprise reporting solutions• Strong technical expertise, including SQL and Python, and experience in coding, data processing and performance optimisation• Proven ability to provide expert technical analysis and advice to stakeholders ...

platforms such as Adobe Experience Platform (AEP), Salesforce Data Cloud, Salesforce Marketing Cloud, or equivalent marketing technology solutions.A basic understanding of data concepts including SQL, databases, and APIs, with an enthusiasm to develop deeper technical knowledge over time.Developing communication and interpersonal skills, with the ability to engage professionally with clients ...

approach to learning and problem solving Commitment to own personal and professional development, and that of your team Quantitative data management and analysis using SQL and R Report preparation using Power BI or similar dashboard software Creation of technical documentation for analytical workflows Excellent stakeholder management and customer service skills ...

Experience collaborating in multi-disciplinary teams Passion for transport, infrastructure, or solving complex real-world problems through data (Desirable) Knowledge of Python, R, or SQL for data transformation (Desirable) Familiarity with GIS or geospatial data visualisation Personal Attributes: Analytical mindset with a focus on data accuracy and quality. Strong problem ...

develop.EssentialsStrong numerate skills and qualifications (either A-Level or Degree)Analytical expertise – practical experience of using analytical software and coding, such as SAS or SQL, and be confident in using Microsoft Office, particularly Excel and Powerpoint.Knowledge of Credit Risk and Change Management – an understanding of what credit risk ...

network analytics: experience with Neo4j, Cypher or graph algorithms to explore relationships, dependencies, flows or networks.Cloud-based analytics and data automation: practical skills in SQL, Python or Alteryx for data preparation, integration and repeatable workflows, plus visualisation experience with Power BI, Tableau or Qlik.Data pipelines and quality: an understanding ...

including predictive modelling, cost forecasting, and trend identification.Advanced proficiency in controls software (e.g., Power BI, PRISM, Primavera, Aconex) and data manipulation tools (e.g., Python, SQL).Project Controls Mastery:Deep understanding of project controls disciplines, including cost management, schedule performance, risk management, and Earned Value Management (EVM).Skilled in designing integrated ...