10 of 10 Data Pipeline Jobs in Oxford

Description The Data Quality Engineer plays a crucial role in ensuring the integrity, accuracy, and reliability of our organization's data assets. This position combines technical expertise with strong collaborative skills to implement and maintain data quality standards across the enterprise. Location:Belfast (Hybrid … days per week in office) Key Responsibilities Data Quality Framework: Develop and implement a comprehensive data quality framework, including defining data quality metrics, setting up data quality checks, and automating quality monitoring SLA and Data Contract Enforcement: Work with domain … data owners and DPOs to ensure adherence to SLAs and data contracts, and monitor data quality against these agreements Data Analysis: Conduct in-depth data analysis to identify data quality issues, anomalies, and inconsistencies Data Validation More ❯

is expected to report to Concord, NC on a full-time basis. The Role We are seeking a highly skilled and motivated Senior Data Processing Engineer to join the Aero Innovation team within the Motorsports Aerodynamic Department. Your primary responsibility will be to develop complex data pipelines and data-processing systems that enhance the productivity and capabilities of our aerodynamics development activities for both motorsport and high-performance production vehicles. As a member of our multi-disciplinary team, you will be at the forefront of designing, developing, and optimizing state-of-the … with our partners and ultimately help shape the future of motorsports. What You’ll Do Architect, design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of structured and unstructured data from multiple sources. Work with data engineers and More ❯

Data Engineer I am working with a data driven Microsoft partnered consultancy who are looking for a Databricks Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies with a focus on projects … on Databricks implementations. You will join a team at the centre of a number of data-driven projects where you will be responsible for the design, development and creation of data solutions. You will work on the full end-to-end product lifecycle from platform design … to insights creation. As part of this role, you will be responsible for some of the following areas Design, develop and maintain data pipelines that are responsible for the ingestion and transformation of data between different sources Create and develop data models Development of More ❯

opportunity for a Research DataOps Engineer with a passion for research delivery, to join an Oxford University spin-out and to implement a Data Lake House from the ground up. This role is critical to support the next phase of our medical imaging AI and Analytics research. The … Caristo and Oxford University. This individual will join a fast-paced and talented research team of 8 individuals to support a variety of data and computing needs. The successful candidate will design and build out a data lake house, whilst being expected to actively contribute to … infrastructure to support AI and Data Analytics Research Manage Cloud/On-premises compute resources to achieve research objectives Contribute to MLOps pipeline for translation of Research Algorithms to Product Collaborate with researchers, academic partners, product team, and image analysts Manage cohorts of test data More ❯

Lead Data Engineer – Help Shape the Future of Mental Health Research Are you a hands-on leader who loves crafting clean architecture and mentoring engineers how to do the same? Do you enjoy building data pipelines that actually scale? Are you seeking a challenge as well … as a mission that matters? Join a health-focused data team working at the intersection of research, AI and engineering. You’ll be the right hand to the Head of Engineering, helping elevate the team’s technical maturity, drive best practices and build something meaningful. 🛠️ What you'll … do: Lead and mentor a junior-heavy team of data engineers Build and scale robust pipelines using Spark, Kafka and Delta Lake Define test-driven, documented and repeatable engineering practices Work closely with AI, research and DevOps to deliver products and insights Handle sensitive health data More ❯

impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug … target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models meet scientific goals. Continuously … monitor and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data More ❯

a team of software engineers across the full stack, as they work with bioinformatics pipelines and build and deliver exceptional analytical tools processing data from multiple sources such as sequencing machines. Working in a "hands-on" capacity, the Software Engineering Manager will work to develop a scalable architecture … proven experience of leading and developing teams Experience of working within a start-up/scale-up environment preferred Experience of working with data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing More ❯

a team of software engineers across the full stack, as they work with bioinformatics pipelines and build and deliver exceptional analytical tools processing data from multiple sources such as sequencing machines. Working in a "hands-on" capacity, the Software Engineering Manager will work to develop a scalable architecture … proven experience of leading and developing teams Experience of working within a start-up/scale-up environment preferred Experience of working with data at scale/data pipelines, with any experience of bioinformatics/genome data advantageous. Experience of data processing More ❯

impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug … target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models meet scientific goals. Continuously More ❯

collaborate effectively and work independently where needed. What You’ll Be Working With Python-based services deployed in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOM and FHIR . A … and visa sponsorship (where applicable) Inclusion Matters We and our client are committed to diverse hiring. If you bring relevant experience in imaging, data, or regulated environments - even if not from a traditional medical background - we encourage you to apply. If you meet most of the brief, please More ❯