6 of 6 Permanent Data Pipeline Jobs in Avon

seeking an experienced Product Owner to become an integral part of our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products … that empower teams across the business, from marketing to operations, and enable insight-driven decisions. Acting as the bridge between Finance business stakeholders, data scientists, analysts and engineers, you'll manage the Finance product backlog and ensure continuous delivery of capabilities that align with enterprise objectives. Acting as a liaison between stakeholders and the development team, you will … translate the product vision into a prioritised & actionable backlog that maximizes business value while ensuring to addresses customer needs. Qualifications Strong experience as a Product Owner or Data 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 More ❯

Next-gen diagnostics start-up Take ownership of data strategy and architecture from the ground up. Flexible, remote-first working with visits to a high-impact biotech lab. Cutting-edge work combining AI, genomics, and diagnostics to save lives. Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next … theyre scaling fast and now looking for their very first Data Engineer. Youll take the reins on all things data - shaping the architecture, strategy, and pipeline design that supports a life-saving platform. Youll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, youll be the go-to person. You'll More ❯

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions … a focused mentality on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science … projects to tight deadlines Ability to work unsupervised and to manage a varied workload efficiently Minimum criteria You'll need all of these. Solid understanding of data pipeline/ELT development, including performance tuning Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI More ❯

a portfolio of accounts and being the dedicated point of contact . You will: Lead and mentor a team of 6+ Tech Leads overseeing product engineering squads delivering data-centric products Provide strategic guidance , coaching, and professional development opportunities for engineering managers to empower their teams and deliver results Establish and maintain a high-performance culture focused on … Stay at the forefront of industry trends and emerging technologies, continually improving data engineering capabilities Metrics-Driven Impact: Develop and track success metrics, including data pipeline reliability, availability, and time-to-insight, to evaluate and continuously improve team performance Communicate the impact of data engineering initiatives through clear metrics to stakeholders at all … Excellence & Process Improvement: Promote operational excellence through the implementation of efficient data engineering workflows, processes, and tools Drive the adoption of best practices for data pipeline development, continuous integration/continuous deployment (CI/CD), and data monitoring Identify and implement opportunities for automation and optimization, improving operational efficiencies across squads Innovation & Technology More ❯

cloud, while learning new tools and pushing your engineering skills forward. What Youll Do Design and develop robust backend applications using Go/Golang Build scalable APIs and data pipelines integrating with multiple platforms Write clean, well-documented code with strong testing practices Collaborate in agile sprints to deliver high-quality features and improvements Develop and manage CI … ideally Google Cloud Platform , or AWS/Azure Familiar with agile development, version control, and dev standards Confident writing maintainable, scalable, and production-ready code Desirable: CI/CD pipeline experience (GitHub Actions preferred) Experience with microservices , Kubernetes , or serverless architectures Infrastructure automation using Terraform Frontend experience with JavaScript , TypeScript , or frameworks like Svelte , React , or Vue Understanding of More ❯

now to be part of our award-winning team at Sparta Global. About this role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not … limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for further analysis and investigation. Working with others is key, you could be working with other engineers, developers More ❯