19 of 19 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 ...

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 ...

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 ...

improving engineering practices and ensuring the business can rely on clean, trustworthy data. Lead by example with hands-on development, building ELT/ETL pipelines for Snowflake and Oracle using SQL, Python, and modern orchestration tools, while taking ownership of optimisation and performance. Produce high-quality, well-structured data products ...

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 ...

reporting requirements. Key responsibilities: Design and deliver Data Warehouses, Data Lakes and Lakehouse solutions Build data platforms primarily using Microsoft Fabric Develop and optimise ETL processes and data pipelines Work directly with clients to gather requirements and run technical workshops Translate business requirements into clear technical designs Support analytics and … Microsoft environment Hands-on experience with Microsoft Fabric, SQL Server and Power BI Strong SQL skills and experience with data modelling Experience building ETL processes and data pipelines Coding experience with Python, M or R Comfortable working in a customer-facing role Strong communication and problem-solving skills Desirable Experience ...

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 ...

Azure & Data Engineering Build and maintain Azure-based data platforms using Microsoft Fabric Design and implement Data Warehouses, Data Lakes and Lakehouse architectures Develop ETL and data transformation pipelines Work extensively with SQL to model, optimise and query data Ensure solutions meet security, performance and scalability requirements Client & Delivery Focus … Engineer or Data Engineer Strong experience across Azure data technologies and SQL Exposure to Microsoft Fabric, Power BI and modern data architectures Experience building ETL processes and data pipelines Coding or scripting experience using Python, M or R Comfortable working in a customer-facing or consultancy-style environment Strong communication ...

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/ ...

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 ...

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 establishing and maintaining data governance frameworks Experience complying with data security requirements. Experience … 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 ...

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 ...

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. ...

modern cloud tools, and contributing to continuous improvement in an agile environment. Key Responsibilities Develop and maintain scalable data infrastructure, cloud-native workflows, and ETL/ELT pipelines to support analytics, reporting, and operational use cases. Transform, model, and organize data from diverse sources to enable accurate reporting and data … Airflow or Airbyte. 2+ years of experience working with web service APIs (REST and/or SOAP). Experience with cloud data warehouse and ETL/ELT solutions is a plus (e.g., Snowflake, Redshift, dbt). Experience working in an Agile environment. Knowledge of version control systems (e.g., Git). ...

reliable pipelines and models. You will: Lead the technical strategy for data engineering across ingestion, modelling, orchestration, and automation. Build and maintain high‐quality ETL pipelines using modern tooling and cloud‐native infrastructure. Develop robust data models and frameworks to support analytics, reporting, and product teams. Champion best practices across … strong fit if you bring: Must‐haves 7+ years’ experience in data engineering. Deep expertise in Python and SQL. Strong experience building ETL pipelines and distributed data systems. Solid cloud experience — ideally AWS (open to GCP). Orchestration experience (Dagster, Airflow, or similar). Experience with modern data warehouses such ...

secure, and automated data platforms on AWS. The ideal candidate will have deep expertise in AWS CloudFormation, data ingestion and transformation services, Python-based ETL development, and orchestration workflows. This role will focus on designing, implementing, and optimizing end to end data pipelines, ensuring data quality, reliability, and governance across … Development Design, develop, and maintain large scale data pipelines using AWS services such as Glue, Lambda, Step Functions, EMR, DynamoDB, S3, Athena, and other ETL/ELT components. Build automated ingestion, transformation, and enrichment workflows for structured and unstructured datasets. Implement reusable data engineering frameworks and modular components using Python ...

models on Amazon SageMaker (training, tuning, hosting, endpoints, pipelines). • Develop and optimize distributed data processing workflows using Apache Spark, AWS Glue, and related ETL frameworks. • Build serverless automation and integration logic using AWS Lambda and Python-based microservices. • Implement MLOps best practices across the ML lifecycle—data preprocessing, feature … have). • Solid experience with Amazon SageMaker (training, inference, pipelines, model registry). • Strong hands on experience with AWS Glue and Apache Spark for ETL and distributed data processing. • Proficiency in Python, particularly for ML/ETL automation and production pipelines. • Strong understanding of: o ML lifecycle management o Data ...