13 of 13 Remote ETL Jobs in Edinburgh

play a key role in designing, building, and maintaining robust data pipelines and architectures that support our clients’ strategic goals. Key Responsibilities Design and implement scalable data pipelines and ETL processes. Collaborate with data scientists, analysts, and software engineers to deliver end-to-end data solutions. Develop and maintain data models, databases, and data lakes. Work with cloud platforms (AWS More ❯

Product Owner in Agile environments. Ideally experience managing Finance and data products or platforms, ideally data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product More ❯

Owner in Agile environments. Experience managing data products or platforms, ideally customer data platforms (CDPs), data warehouses (e.g. Snowflake, BigQuery), or data lakes. Familiarity with data modelling, data pipelines, ETL/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools More ❯

Fabric Analytics Engineer Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and quality across the organization. Write More ❯

into this function already from Software and Hardware Engineers to PMs, Support, Operations staff, Managers and more. What You’ll Be Doing: Design and develop Data Solutions, Pipelines and ETL Processes using tools such as Azure Data Factory/Azure Data Lake/Azure SQL/SSIS and other relevant offerings Build and tailor Data Models and Data Warehouses Work … tooling as possible including Azure Data Factory, Azure Data Lake, Azure SQL, Azure Synapse Analytics, SQL Server/SSIS/T-SQL Strong skills across Data Modelling, Warehousing and ETL processes Skills in Business Intelligence tooling such as Power BI/similar Scripting with Python/PowerShell/similar Why This Role? This business is known for evolving with the More ❯

that are customer-centric and business-aligned. What You’ll Do: Design and build scalable, reliable, and high-performance data systems. Define and drive best practices for data modeling, ETL/ELT pipelines, and real-time streaming architectures. Set technical direction and architectural standards across the data platform. Work closely with cross-functional partners to meet evolving business and analytical … tools and frameworks such as Spark , dbt , Airflow , Kafka , Databricks , and cloud-native services (AWS, GCP, or Azure). Deep understanding of data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python , Scala , or Java . Demonstrated experience owning and delivering complex systems from architecture through More ❯

the team is multi-disciplinary with the following skills and capabilities: machine learning, optimization, statistical modeling, signal detection, natural language processing, data visualization, generative AI, network/graph modeling, ETL, data pipelines, data architecture, ML engineering, communication, product management and strategy. We work with data from a wide variety of sources including text, news feeds, financial reports, time series transactions … solving and communication skills Knowledge and experience we are looking for includes: DevOps automation, idempotent deployment testing, and continuous delivery pipelines Networking and security protocols, load balancers, API Gateways ETL tooling and workflow engines (e.g., Spark, Airflow, Dagster, Flyte) Accelerated compute libraries and hardware (e.g. pytorch, NVIDIA GPUs) Data modeling, and strategies for cleaning and validating data at scale Performance More ❯

passionate about building robust data pipelines and transforming raw data into valuable insights, we want you on our team! Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and stakeholders to understand data requirements. Ensure data integrity, security, and compliance with industry standards. Optimize data architectures for performance and scalability. Monitor and maintain More ❯

warehouses with best practices. Skills They're Looking For: Proven Data Engineering experience (5+ years). Consultancy experience is a must. Leadership and multi-project environments experience. Expertise in ETL, data modelling, and Azure Data Services. Experience in designing and implementing data pipelines, data lakes, and data warehouses. Hands-on experience with Apache Spark and bonus points for Microsoft Fabric. More ❯

Clear communication with both technical and non-technical stakeholders is essential. End-to-end solution Architecture experience with information systems and order architecture. Data - Data Architecture, Data Warehousing & Lakes, ETL/ELT Pipelines, Customer Data Platforms (CDPs), Data Governance & Compliance, or, Analytics & BI. Integration - API Design & Management, Middleware & ESB, Event-Driven Architecture, BSS/OSS Integration, Partner Ecosystem Integration, CI More ❯

engineers. Working collaboratively, the team 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, time series transactions, user behavior More ❯

enabling seamless migrations, your work will directly impact business operations and client outcomes. Key Responsibilities Data Migration & Transformation Handle large datasets and ensure integrity throughout the migration lifecycle. Support ETL processes and prepare data for transition into modern wealth platforms. Liaise with client and vendor teams to understand data structures and define mapping logic. Business Insight & Client Engagement Interpret client … delivery. Skills & Experience 1–4 years of experience in consulting, data migration, or transformation projects. Strong understanding of data structures within a wealth management or financial context. Familiarity with ETL processes and data validation techniques. Effective communicator with the ability to manage stakeholders and explain data insights clearly. Exposure to leading wealth management platforms such as FNZ, SS&C, Avaloq More ❯

solution to automate SAAS seat management and track spend across the application portfolio. Furthermore the team integrates internal and external data sources into the data mesh using open-source ETL solutions, enabling more data driven decisions in the organization. Location : This role will be based remotely in the EMEA region. The role entails Develop engineering solutions leveraging Python Collaborate with More ❯