4 of 4 Remote Data Engineer Jobs in Avon

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 with 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/ML platform using Oracle, Snowflake … and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices More ❯

Principal Data Engineer - Azure Databricks (Unity Catalog) - Contract Location: Bristol - Hybrid - 2 days a week in the office Contract Length: 12 Months Day Rate: Negotiable Job Ref: J12998 A data for good organisation that is in the early stages of building a modern Analytics and Data Engineering function, are looking to bring in a Principal Data Engineer to support and lead key elements of this transformation. This is a fantastic opportunity for someone who enjoys building data platforms from the ground up, mentoring teams, and deploying cutting edge solutions in a collaborative environment. In this role, the successful candidate will be responsible for designing and implementing scalable, reusable data pipelines to support … a range of analytics and AI-driven projects. The organisation is currently transitioning to Azure as well as Databricks and Principal Data Engineer will play a crucial role in shaping that platform, helping the data team upskill, and embed best practices across the function. They will also lead on bringing AI models into production, ensuring robust monitoring More ❯

Data Engineer I am working with a leading, AI driven organisation that supports its clients' marketing campaigns, expanding its data engineering capabilities and looking for a Data Engineer to join their team. This is a fantastic opportunity to join an award-winning tech business where you will have the opportunity to work at the forefront … of data architecture, building distributed systems and leveraging Gen AI tools to accelerate development and improve quality. You will be encouraged to explore new ways to utilise modern technologies and will be positioned to help mentor other members of the technical team whilst leading innovative technical projects. As part of this role, you will be responsible for some of … the following areas: Design and build distributed data pipelines using languages such as Spark, Scala, and Java Collaborate with cross-functional teams to deliver user-centric solutions Lead on the design and development of relational and non-relational databases Apply Gen AI tools to boost development speed and code quality Maintain and optimise large-scale data collection processes 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. We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges. They’ve … own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software. What you’ll be doing: Coming in as the Senior Data Engineer, you’ll take the reins on all things data - shaping the architecture, strategy, and pipeline design that supports a life-saving platform.You’ll 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. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might mean streaming data off DNA sequencers, integrating More ❯