1 to 25 of 34 Permanent ETL Jobs in Scotland

with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL/ELT, Data Lakes, Data Warehousing, Master Data, and BI. A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps More ❯

beneficial skills (not essential): Experience with Power BI, Python, C#, Angular, Power Automate, or data science practices. Knowledge of optimizing data pipelines, architectures, and ETL/ELT processes. Experience provisioning APIs for data consumption. A detailed list of requirements is available upon request. What we offer: A competitive salary and More ❯

Provide technical guidance, mentorship, and lead activities within the Data Programme. Qualifications & Experience Relevant professional qualification or equivalent experience. Proven experience with data warehousing, ETL/ELT, integration tools, and BI solutions. Expertise with Synapse (notebooks and data flows) is essential. Working knowledge of PySpark is essential. Experience with Azure More ❯

Azure Data Factory and Snowflake. Experience with Looker Studio for visualization. Proficiency with RudderStack or similar customer data platforms. Data Integration Skills: Skilled in ETL/ELT processes, with direct experience integrating platforms such as HubSpot and Shopify. Programming Skills: Proficient in SQL, Python, or similar languages. Client-Facing Experience More ❯

Intelligence platform, either on Azure or AWS Good knowledge of Databricks components including DeltaLake, Unity Catalogue, ML Flow etc. Experience building data pipelines and ETL processes Experience with any of the following is highly desirable: Snowflake, Kafka, Azure Data Factory, Azure Synapse, Microsoft Fabric Desire to be client-facing with More ❯

in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL, Python, and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong understanding of data warehousing concepts. Excellent problem-solving skills and attention to detail. More ❯

design and functionality problems independently with little to no oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on big data platforms. Experience in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.). Experience in data quality testing; adept at writing More ❯

years of experience in a data analyst or data engineering role Experience working in environments reliant on SQL, Python, and Snowflake Experience with ETL processes and APIs for data integration Hands on approach to problem solving that delves into the details while maintaining the ability to succinctly propose solutions to More ❯

machine learning, and business analytics. Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred). Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings More ❯

usability. Automation and Workflow Management Use Power Automate to streamline data workflows and automate routine reporting tasks. Support cross-system data integration where applicable. ETL Development and Modernisation Build and maintain ETL pipelines using best practice methods and modern tooling. Support data transformation and movement across systems and platforms. Participate … procedures, and managing database structures. Proficient in Power BI dashboard development and DAX formulas. Experience with Power Automate for data-driven workflows. Understanding of ETL concepts and processes. Exposure to modern data platforms such as Azure Data Lake , Databricks , or Microsoft Fabric is a bonus. Analytical Skills: Ability to understand More ❯

usability. Automation and Workflow Management Use Power Automate to streamline data workflows and automate routine reporting tasks. Support cross-system data integration where applicable. ETL Development and Modernisation Build and maintain ETL pipelines using best practice methods and modern tooling. Support data transformation and movement across systems and platforms. Participate … procedures, and managing database structures. Proficient in Power BI dashboard development and DAX formulas. Experience with Power Automate for data-driven workflows. Understanding of ETL concepts and processes. Exposure to modern data platforms such as Azure Data Lake , Databricks , or Microsoft Fabric is a bonus. Analytical Skills: Ability to understand More ❯

in a data environment. Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data. Liaise with data/business SME to understand/confirm data requirements and obtain More ❯

in a data environment. Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data. Understand and produce 'Source to Target mapping' (STTM) documents, containing data structures, business & data More ❯

company's CRM, so experience here would be advantageous. Desired Skills Designing and building robust data pipelines for scalable data processing Developing and maintaining ETL workflows to support analytics and reporting Hands-on with Azure ecosystem: Data Factory, Databricks, and Synapse Analytics Experience working with data warehousing solutions and architecture More ❯

Experience with PySpark, including analysis, pipeline building, tuning, and feature engineering. Knowledge of SQL and NoSQL databases, including joins, aggregations, and tuning. Experience with ETL processes and real-time data processing. Experience developing, debugging, and maintaining code in large corporate environments using modern programming languages and database querying languages like More ❯

with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯

proficient applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Experience in Java, Spring Boot, Spring Data, JDBC, ETL, OpenAPI Doc, WSDL, JUnit, Kubernetes, Splunk, Dynatrace. Advanced in building REST API with Java, Oracle. Experience in developing UI applications using React. Experience in developing More ❯

with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. If you have the skills and desire for this, then please email your CV to Bright More ❯

Experience with cloud technologies (AWS or GCP), via hands-on work or certification. Practical experience with data lake or data warehouse technologies (e.g., Spark, ETL, Databricks). Preferred Qualifications, Capabilities, and Skills Experience with metadata processes and technology, along with a background in data management and data quality. Hands-on More ❯

is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports More ❯

with Data Engineers in a multi-disciplinary team. You will need to understand complex data flows and both business and technical requirements to develop ETL/ELT reconciliation scenarios and ensure all features are fully tested. Primarily focusing on quality, you will support the team in sourcing, compiling, and developing … solutions that enable strategic, insight-driven decision-making. Additionally, you will explore opportunities to streamline or further enhance the team's existing SQL/ETL test automation processes where applicable. You will ensure that quality engineering principles are highlighted, discussed, and implemented from early design stages through to final production … and ceremonies Capable of owning all testing related disciplines and deliverables within allocated projects Self-starter with initiative and enthusiasm Minimum criteria Experience of ETL/MI data testing Advanced/Expert level SQL skills to reconcile source/target data and to validate business rules/requirements. Skilled in More ❯

Excel (Array and Statistical formulas) Experience using data to influence business decisions PREFERRED QUALIFICATIONS Knowledge of analytics & statistical tools such as SAS, PowerBI, SQL & ETL DW concepts Knowledge of visualization tools such as Tableau, Datazen, SSRS Experience in back office operations, escalation management and troubleshooting environments Our inclusive culture empowers More ❯

deployment support in staging and production environments Develop tools to aid operations and maintenance System and Support status reporting Ownership of one or more ETL products or components Customer notification and workflow coordination and follow-up to maintain service level agreements Work with support team for handing-off or taking More ❯

expert-led team environment How to Apply Interested? Send your CV to Mohammed Buhariwala via the Apply link on this page. Keywords Data Migration, ETL, FNZ, Avaloq, SS&C, Wealth Management, Data Consultant, Platform Transformation, Financial Services, Hybrid Working, Edinburgh More ❯

Azure Synapse, Azure Data-bricks, etc.). Define and enforce best practices for data architecture, governance, and security across the organization. Develop and optimise ETL/ELT processes to support data analytics and AI-driven initiatives. Collaborate with data scientists and process engineers to integrate machine learning models into production … field. Proven experience in data engineering and team management, preferably in a dynamic and fast-paced environment. Strong understanding of data architecture, data modelling, ETL/ELT processesand data pipeline development. Competency with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark, Kafka etc). Excellent More ❯