13 of 13 Permanent ETL Jobs in Oxford

best practises, including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data ...

helping make it better. Must have — strong practical experience in most of: Python for data workflows and automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect ...

Doing Designing and building a greenfield data architecture from scratch Creating scalable data pipelines for large, text-heavy and unstructured datasets Building ETL/ELT workflows that produce AI-ready datasets Implementing dataset versioning, reproducibility and data lifecycle management Supporting AI teams with training, validation and test data splits Embedding ...

conscience of the programme - reviewing architecture, data models, pipelines, and design decisions Support development of data pipelines, Fabric workloads, and Power BI integration Validate ETL/ELT processes, migrated datasets, and performance optimisation approaches Ensure data governance, security, privacy, and quality standards are embedded from day one Confidently challenge vendors ...

analytic databases Excellent verbal and written communication skills; able to convey technical details to non-technical audiences Previous technical experience within the following; SQL, ETL & PowerBI Ideally worked within SaaS based organisations ...

Asset Management software. Proficient in handling multiple data formats: XML, JSON, CSV, EDI, XLSX. Strong communication and collaboration skills; fluent in English. Familiarity with ETL or data integration platforms (e.g., DataStage, Palantir). Experience with mapping documentation tools or standards (Excel-based mapping docs, BPMN, UML). Proficiency ...

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 ...

Server, MySQL) to support scalable data architectures. Leverage BI tools like Power BI and Tableau for data visualisation and reporting. Collaborate on ETL and data engineering tasks, ensuring efficient data transformations with SQL, Excel, and DevOps tools. Support teams in utilizing JIRA, Visual Studio, and Office Suite for project management … experience with Databricks, Azure, Data Factory, Synapse, and ADLS. Experience with R & Shiny Proficient with BI/data analytics tools (Power BI, Tableau) and ETL/data engineering. Advanced SQL skills, with experience in SQL Server and MySQL. Familiar with DevOps practices and project management tools like JIRA and Visual ...

Modeling SaaS/Cloud architectures Oracle database architecture Architecting and tuning integrations (with products like Oracle Integration Cloud, Boomi, Mulesoft, Celigo, Workato or Snaplogic) ETL tools and techniques Experience in the following areas are desired: Software development life-cycles (SDLC) Release management and/or Agile scrum master experience Developing ...

balance autonomy with alignment Ideally, experience working on payment systems such as Stripe or similar Ideally, experience working on data extraction, integration, or ETL platforms Interview Process 2 stages over Zoom 1st stage will be an introductory call 2nd stage will involve a pair programming session ...

both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell … Business Objects, Tableau) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.) Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java etc. SnowPro Core Certification ...

play a pivotal role in delivering innovative, data-driven solutions for high-profile government clients. You'll be responsible for designing and implementing robust ETL pipelines, leveraging cutting-edge big data technologies, and driving excellence in cloud-based data engineering. This role offers the opportunity to work with leading technologies … collaborate with data architects and scientists, and make a significant impact in a fast-paced, challenging environment. Key Responsibilities: Design, implement, and debug ETL pipelines to process and manage complex datasets. Leverage big data tools, including Apache Kafka, Spark, and Airflow, to deliver scalable solutions. Collaborate with stakeholders to ensure ...

through personally developed code, solution architectures and implementation recommendations Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches Extract business requirements from customers and translate them into a well-architected recommendation Develop and provide forward looking guidance and future state roadmaps Leverage known best … lead role for analytics projects for large enterprises Experience implementing and operating Snowflake centric solutions Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Familiarity with industry common BI and ETL solutions Hands-on experience in a technical role leveraging ...