1 to 25 of 29 ETL Jobs in Scotland

modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity ...

design and deliver data solutions that meet real analytical needs Designing and building Data Warehouses, Data Lakes and Lakehouse architectures Developing complex and reliable ETL pipelines Designing secure, scalable and high-performance data infrastructure Ensuring solutions are well documented from both a design and support perspective Acting as a trusted ...

and analytics for live energy assets. Key responsibilities Design, build, and maintain scalable data pipelines using Databricks (including Delta Live Tables). Develop robust ETL/ELT workflows ingesting data from operational, telemetry, and third-party systems. Optimise pipeline performance, reliability, and cost efficiency in cloud environments. Ensure data quality ...

and analytics for live energy assets. Key responsibilities Design, build, and maintain scalable data pipelines using Databricks (including Delta Live Tables). Develop robust ETL/ELT workflows ingesting data from operational, telemetry, and third-party systems. Optimise pipeline performance, reliability, and cost efficiency in cloud environments. Ensure data quality ...

changing dimension techniques. Proficiency in building production‐ready Power BI models and dashboards, with a solid grasp of Import vs DirectQuery approaches. Knowledge of ETL orchestration patterns, CI/CD pipelines (DevOps/Git), and development best practice. Strong problem‐solving ability, documentation skills, and clear stakeholder communication. Nice ...

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

Exposure to multi-platform integration (MS tools preferred). On premise SQL environments, legacy SSIS, SSRS and other SQL-related technologies employed in complex ETL or ELT patterns Synapse Link for Dataverse Dataverse, Data Flows, Cloud Flows, DAX and Power Platform implementations Synchronisation methods for Synapse and Fabric from D365 ...

data pipelines, data warehouses, and data platforms Solid knowledge of DataOps practices, including CI/CD, containerisation, and workflow orchestration Hands-on experience with ETL/ELT frameworks and big data tools (e.g. Spark, Airflow, Hive) Proficiency in programming languages such as Python, Java, and SQL Experience with SQL and ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

role with end-to-end ownership across data engineering, analytics enablement, and platform operations. What you'll do Design, build, and optimise ELT/ETL pipelines into Snowflake and Oracle using SQL, Python, and modern orchestration Own platform performance, observability, and cost optimisation (FinOps) Deliver well-modelled, business-ready data ...

within a cloud environment, ideally Azure (ADF, Storage, Service Bus, Monitor). Solid understanding of data pipeline orchestration, data validation patterns, and ELT/ETL processes. Background in containerisation, CI/CD, and DevOps practices. If youre ready to make an impact in a growing tech company and play ...

actually gets used. Role Overview Design, build and operate a scalable enterprise data platform across cloud and on-prem environments Develop and maintain reliable ETL/ELT pipelines using SQL and Python Own data modelling and delivery of trusted, business-ready datasets and Power BI assets Ensure platform stability through ...

/GCP services, including scalable storage, compute, and integration patterns. Set data governance standards covering data quality, metadata, lineage, retention, and regulatory compliance. Architect ETL/ELT and streaming pipelines using modern tools (e.g., ADF, Databricks, Kafka, Fabric). Ensure security and compliance via IAM, encryption, data zoning, RBAC, and ...

management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Integration architecture Event-driven architecture patterns (distributed design patterns more generally is an advantage) API design, management, and governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient ...

modelling Work with domain teams to scale data processing Job Requirements: Technical expertise in designing, building, and maintaining data pipelines and warehouses Experience with ETL/ELT frameworks and Big Data Processing Tools (e.g., Spark, Airflow, Hive) Knowledge of programming languages (e.g., Python, SQL) Hands-on experience with SQL/ ...

experience with Snowflake (essential) ** Proven experience leading data engineering projects end-to-end ** Strong Python background and modern data engineering practices ** Deep understanding of ETL/ELT, data modelling and transformations ** Practical machine learning experience (desirable) ** Strong communication with technical and non-technical teams You'll be joining ...

Interest in regulatory systems, financial platforms, or enterprise technology Exposure to CI/CD tooling (e.g. Jenkins) and Agile delivery methodologies Strong SQL and ETL knowledge Experience with database performance analysis and tuning Axiom experience is a plus, but not essential – full training provided This is an excellent opportunity ...

Interest in regulatory systems, financial platforms, or enterprise technology Exposure to CI/CD tooling (e.g. Jenkins) and Agile delivery methodologies Strong SQL and ETL knowledge Experience with database performance analysis and tuning Axiom experience is a plus, but not essential – full training provided This is an excellent opportunity ...

logical, and physical data models Define and enforce data management standards, policies, and best practices Work closely with data engineers to design and optimise ETL/ELT pipelines for structured and unstructured data Ensure data quality, consistency, security, and compliance across platforms Collaborate with business stakeholders to gather requirements and … proficiency in SQL and database technologies (e.g. Oracle, SQL Server, PostgreSQL, MySQL) Strong knowledge of data warehouse, data lake, and lakehouse architectures Experience with ETL/ELT frameworks and orchestration tools (e.g. Informatica, Talend, Apache Airflow) Proven experience establishing and maintaining data governance frameworks Strong understanding of data security, access ...

conceptual, logical, and physical data models Define and enforce data management standards, policies, and best practices Collaborate with data engineers to design and optimise ETL/ELT pipelines Ensure data quality, consistency, security, and compliance across platforms Translate business data requirements into scalable technical solutions Support data governance initiatives , including … Excellent SQL skills and experience with databases such as Oracle, SQL Server, PostgreSQL, MySQL Solid understanding of data warehouse and lakehouse architectures Experience with ETL/ELT and orchestration tools (eg Informatica, Talend, Apache Airflow) Proven experience designing data models Strong understanding of data governance and data security requirements Excellent ...

5+ years professional Python experience; you've shipped and owned production systems. Built/owned a real-time/low-latency system (not batch ETL) with measurable performance goals. Strong understanding of async + multiprocessing tradeoffs and performance profiling. Comfortable owning an existing codebase: refactors, tests, architecture improvements. Experience with ...

and maintain logical, physical, and conceptual data models. Define data management standards, policies, and best practices. Work with data engineers to design and optimize ETL/ELT pipelines for structured and unstructured data. Ensure data quality, consistency, and security across platforms. Collaborate with business stakeholders to understand data requirements and … engineering. Strong proficiency in SQL and database technologies (e.g., Oracle, SQL Server, PostgreSQL, MySQL). Knowledge of data warehouse and lakehouse architectures Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow). Experience in establishing and maintaining data governance frameworks Experience complying with data security requirements. ...

metrics (burn-down, cycle time, throughput, flow efficiency) and identify improvement opportunities. ? Enable squads to break down epics/user stories for data ingestion, ETL/ELT pipelines, APIs, cloud migration, metadata/lineage, and data provisioning services. CDS Platform & Technical Coordination ? Coordinate delivery dependencies across the CDS platform including … and coach teams on Scrum, Kanban, and scaled Agile ways of working. ? Identify inefficiencies and help teams adopt better working patterns around data modelling, ETL development, automated testing, and CI/CD pipelines. ? Mentor teams to become self-organising and reinforce Agile principles such as transparency, inspection, adaptation, and value ...