11 of 11 Remote ETL Jobs in the East Midlands

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

You'll Be Doing Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation Leading client workshops and translating business needs into technical solutions Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory) Building data lakes with medallion architecture Migrating legacy on-prem data systems to the cloud Creating impactful dashboards and More ❯

in most of the below areas... Experience in a Data Engineering (or similar) role Strong scripting skills in SQL (and Python would be a bonus) Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric Knowledge of data lakes and medallion lake house design Working knowledge of Power BI or similar More ❯

Facilitate agile ceremonies (e.g., daily stand-ups, sprint planning, retrospectives) to ensure efficient workflow. Technical Leadership & Strategy: Provide technical guidance and oversight for the design, development, and maintenance of ETL processes and system integrations. Drive best practices in software engineering, coding standards, and architectural patterns within a C#.NET environment. Collaborate with product managers, architects, and other stakeholders to define technical … effectively to both technical and non-technical audiences. The Person: Proven experience in an Engineering Manager or a senior technical leadership role, leading software development teams. Strong expertise in ETL (Extract, Transform, Load) processes and data integration patterns. Demonstrable experience with designing, building, and maintaining robust integrations between disparate systems. Solid understanding of the software development lifecycle (SDLC) and delivery … Skills: A strong background in software testing, including experience with various testing methodologies (unit, integration, system, performance) and automation frameworks. Experience with cloud platforms (ideally Azure) and cloud-native ETL/integration services. Familiarity with CI/CD pipelines and DevOps practices. Experience with message queuing systems (e.g., Kafka, RabbitMQ, Azure Service Bus). Knowledge of other programming languages or More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. … Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best practices. Data Modeling: Understanding of More ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical More ❯

shape the future of data. Key Responsibilities: Oversee daily management and maintenance of data systems. Ensure robust data system security and patching. Support the team in producing Data and ETL services. Conduct data analysis, design, and remediation activities. Engage in transformation activities and champion change agendas. Identify and propose enhancements for data-centric processes. Create high-quality functional and technical More ❯

business data operations with SQL (desirable). Explore opportunities to leverage the Azure Cloud Platform for data storage and processing (desirable). Ensure data integrity and accuracy through effective ETL processes (desirable). Essential Skills & Experience Proficiency in Power BI for data visualisation and reporting. Strong Excel skills, including advanced formulas, pivot tables, and data analysis tools. Excellent attention to … Knowledge of SQL for data extraction and analysis. Experience with Python or other programming languages for data processing. Understanding of Azure Cloud Platform and its data capabilities. Awareness of ETL processes for data transformation. Experience in data modelling to support analytics. Personal Attributes: · Critical thinker. · Detail orientated. · Adaptable. · Resilient. · Proactive. Why Join Us? Opportunity to work with a forward-thinking More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯

with AI/ML workflows. The Role Design and develop full-stack applications using semantic data models and SDKs. Build and maintain data pipelines and backend services using modern ETL tools. Develop interactive dashboards and operational tools using React and TypeScript. Integrate external APIs and services into application workflows. Collaborate with AI/ML teams to embed models into real … experience in full-stack development. Strong proficiency in JavaScript/TypeScript and React for front-end development. Experience with Python or Java for backend services. Familiarity with data pipelines, ETL processes, and semantic data modelling. Experience with external API integration and operational data visualisation. Prior exposure to platforms like Palantir Foundry or similar is highly desirable. Strong communication skills and More ❯