2 of 2 Remote Big Data Jobs in Tyne and Wear

Join a fast-growing technology and engineering organisation that is on a mission to become the best engineering consultancy in the UK. We are looking for a Data Engineer who is passionate about technology, eager to develop their coding skills, and ready to make a significant impact in a collaborative and innovative environment. Due to the security cleared nature … we can not accept applicants who don't possess indefinite leave to remain or are a UK resident. If you require sponsorship, then your application will not be considered. Data Engineer Annual Salary: £40,000 - £55,000 Location: UK (Flexible Hybrid Working) Job Type: Permanent Day-to-day of the role: Work on diverse client projects including building modern … data platforms and services using DevOps practices. Engage in large, distributed workloads, batch and streaming data pipelines, and high-quality monitoring. Collaborate with architects, technology consultants, and client stakeholders to help customers leverage their data effectively. Gain exposure to different industries and networks while working with the latest technologies. Spend time on internal projects, training, and development More ❯

Join a fast-growing technology and engineering consultancy on a mission to become the UK’s leading name in engineering excellence. We’re looking for a Data Engineer who is passionate about technology, eager to sharpen their coding skills, and ready to make an impact in a collaborative, innovative environment. Data Engineer – Full Training on AWS Provided Salary … looking to upskill in cloud technologies. Exposure to cutting-edge projects across diverse industries. A supportive team culture focused on learning and growth. Your Day-to-Day Build modern data platforms and services using DevOps practices. Work on large-scale distributed workloads, batch and streaming pipelines, and implement robust monitoring solutions. Collaborate with architects, consultants, and client stakeholders to … help businesses unlock the power of their data. Contribute to internal projects and ongoing training to expand your expertise. What We’re Looking For Experience building data pipelines using Spark or Pandas . Familiarity with major cloud platforms (AWS, Azure, or GCP). Understanding of big data tools (EMR, Databricks, DataProc). Knowledge of data architectures More ❯