4 Data Pipeline Jobs in the North East

Introduction A Data Asset Manager is needed to be the driving force in maximising the value and impact of data assets within a data strategy. This is an opportunity to play a key role in shaping the future of data management and … analytics and you will join a highly functioning team driven by a common goal. The Data Asset Manager will develop investment cases for data assets, implement innovative strategies to enhance return on investment, and ensure alignment with organisational goals. This role will require you to understand … business objectives, translate them into data strategies, and then sell them back to internal stakeholders to gain buy-in from the wider business. As such, you will need excellent people skills and the ability to communicate technical matters to stakeholders at all levels. Key Responsibilities Manage and maintain more »

our team with people just like you! We are DataOps advocates and use software engineering best practices to build scalable and re-usable data solutions to help clients use their data to gain insights, drive decisions and deliver business value. Clients don’t engage BJSS to … get to work with a wide range of tools and technologies and there are always new things to learn. About the Role BJSS data engineers are specialist software engineers that build, optimise and maintain data applications, systems and services. This role combines the discipline of software … engineering with the knowledge and experience of building data solutions in order to deliver business value. As a BJSS data engineer you’ll help our clients deploy data pipelines and processes in a production-safe manner, using the latest technologies and with a DataOps more »

Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Newcastle. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and … and even venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can … practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership capabilities: mentorship, management Role overview: If you're eager to collaborate with a driven team more »

part of our client's growing engineering division, you will play a pivotal role in designing, implementing, and optimising machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production … what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI …/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a more »