4 of 4 Data Engineer Jobs in Tyne and Wear

Data Engineer - FinTech - Newcastle (Tech stack: Data Engineer, SQL, Python, AWS, Git, Airflow, Data Pipelines, Data Platforms, Programmer, Developer, Architect, Data Engineer) Our client is a trailblazer in the FinTech space, known for delivering innovative technology solutions to global financial markets. They are expanding their engineering capability in Newcastle and are looking … for a talented Data Engineer to join their team. This role will focus on building and optimising systems that make complex datasets accessible, reliable, and valuable for the business. As a Data Engineer, you will take responsibility for the development of high-quality pipelines that process and manage large volumes of data from a range … of external and internal sources. You'll play a key role in enhancing and maintaining their central data platform, ensuring the smooth delivery of information that supports investment decision-making. Working closely with stakeholders across the business, you'll help shape how data is accessed, tested, and leveraged to maximise value. The successful candidate will bring More ❯

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 … 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 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 … 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 (Data More ❯

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application. Hybrid … team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products … leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS More ❯