6 of 6 Data Pipeline Jobs in Somerset

Methods Analytics (MA) is recruiting for a Data Engineer to join our team a permanent basis. This role will be mainly remote but require flexibility to travel to Bristol. What You'll Be Doing as a Data Engineer: Design and architect modern data solutions that align with business objectives and technical requirements Design and … implement advanced ETL/ELT pipelines using Python, SQL, and Apache Airflow Build highly scalable and performant data solutions leveraging cloud platforms and technologies Develop complex data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing … Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test-driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a More ❯

Octopus Investments and Octopus Money. Check out the Seccl website for the latest on our products and our mission to shape the future of investments. The role The Data Squad engineering manager's purpose is to lead and empower a high-performing team of data engineers to deliver scalable, reliable, and secure data capabilities. … This role is central to enabling internal and external data products, supporting business insights, and developing a modern data platform. The role will work closely with Product, Engineering, and Data Operations to align delivery with business outcomes, support the team's growth, and help shape our overall data strategy. On a typical … day you will Guide and mentor, a team of data engineers, fostering their professional growth and ensuring high performance.Setting clear, measurable goals with regular performance reviews, development plans, and recognition. Collaborate with product managers and engineering leaders to define priorities and align data initiatives with business goals. Provide technical guidance and architectural oversight across the data More ❯

Data Scientist - Hybrid (Bristol-based) £40,000 - £45,000 (up to £50,000 for exceptional candidates) Hybrid Working | Python & Pandas Are you passionate about data and ready to make a real impact in the world of cyber risk? We're working with a forward-thinking company that's pioneering cyber risk modelling using advanced stochastic techniques … and they're on the lookout for a skilled Data Scientist to join their growing team. This is a brilliant opportunity for someone with a sharp analytical mind and solid Python skills, who enjoys building efficient data pipelines and uncovering insights from complex datasets. The Role You'll play a key role in cleaning, enriching, and … preparing insurance portfolio data that feeds into cutting-edge risk models. From day one, you'll work closely with modellers, data scientists, and engineering experts to ensure high data quality and process efficiency. The work you do will directly influence insights into cyber exposure and risk trends. Key Responsibilities Clean, validate, and standardise large More ❯

As a part of the client solutions team at Verisk Maplecroft you will be a part of the team charged with using technology to create, collate and deliver data analytics and intelligence to our clients in a geospatial context. We are primarily a Python/Django house with an Angular front end. We recently moved to AWS for … new workflows, pipelines, features and tools that give our clients the information they need to make the right decisions to create a more sustainable and resilient world. Geospatial data forms are a significant component of the data structures used within Verisk Maplecroft, and with an increasing availability of geospatial data in the modern era … exploiting that data to provide risk insights to our client’s is a primary objective of the client solutions team and this role. Responsibilities: Working in an agile team and assisting in requirements gathering, refinement, and delivery of continual improvements to our mapping solutions and GIS data pipelines Supporting and working with contractors to ensure effective More ❯

What you'll be doing Are you ready to contribute to the evolution of our data pipelines for our B2C division? At Future, we are transforming our data-driven decision-making processes and are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who thrives … in a creative environment and enjoys solving complex data challenges. You'll report to the Lead Data Engineer and be part of the wider Data Engineer team. The Data & Business Intelligence team guides our organization to become more data-driven. Our go-to-market changes give us a competitive edge … by ensuring visibility of objective performance data, empowering our teams to make rapid, informed decisions that enhance overall performance. Responsibilities include, but are not limited to: Maintain existing and develop new features of the data platform. Deliver development projects efficiently. Apply established software engineering practices and principles. Take ownership of BAU processes and develop domain expertise. More ❯

As an AI Software Engineer Apprentice, you’ll deliver real-world AI and ML solutions working with data pipelines, models, APIs, and microservices while advancing toward a fully funded Level 6 degree. This role is rooted in the Digital and Technology Solutions standard, blending a common core with the Software Engineer specialism. Role Location: Hybrid (UK-based) Hours … Monday – Friday, 09:00–17:00 Salary: £15,000 per annum Apprenticeship Standard: ST0119 v1.2 – Digital and Technology Solutions Degree (Software Engineer pathway) Key Responsibilities Model & Data Pipeline Development Assist in collecting, cleaning, validating, and preparing data for training and evaluation. Support the design, development, and tuning of machine learning and deep learning models. Contribute … to scalable and reusable data pipelines using modern ML workflows. Experimentation & Evaluation Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support reproducibility and model versioning. Engineering Contributions Help build and integrate AI-powered APIs, scripts, and microservices. Collaborate on backend More ❯