25 of 25 ETL Jobs in Scotland

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 ...

understanding of HR data (organisation structures, roles, assignments, payroll). Experience with HR data cleansing and large-scale system migrations. Knowledge of integrations (APIs, ETL, data transformations). Understanding of AI and automation, with the ability to identify suitable use cases. Strong analytical skills and attention to detail. Excellent communication ...

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 ...

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 ...

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 ...

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 ...

architecture decisions, and act as a trusted technical partner on complex data initiatives. Key responsibilities include: Designing and building scalable data platforms and ETL/ELT pipelines in Azure and AWS Implementing serverless, batch, and streaming data architectures Working hands-on with Spark, Python, Databricks, and SQL-based analytics platforms … Redshift, Lambda, and SQL-based analytics services Strong Python skills and experience using Apache Spark Hands-on experience with Databricks Experience designing and maintaining ETL/ELT pipelines Solid understanding of data modelling techniques Experience working in cross-functional teams on cloud-based data platforms Ability to work with SDKs ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

and APIs, using modern open-source technologies. The successful candidate will have proven experience working with large-scale raster and vector datasets, building robust ETL pipelines, and contributing to high-quality software solutions that support data-driven decision-making. Key Responsibilities Design, develop, and maintain ETL pipelines for large-scale ...