Staff Data Engineer - Belfast
<p><b>Salary: £100,000 - 100,000 per year</b></p>
<b>Requirements:</b>
<ul><li>We are looking for candidates with proven experience in data engineering, specifically focusing on large-scale data processing and real-time data platforms. Strong programming skills in Python and SQL are essential, along with experience in data engineering tools such as Spark, Kafka, and Airflow. A solid understanding of cloud-based data services (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is required. Familiarity with AI and ML frameworks, as well as experience working with data for machine learning models, will be beneficial. We value excellent problem-solving abilities and a passion for optimizing data workflows while working on state-of-the-art AI projects.</li></ul>
<b>Responsibilities:</b>
<ul><li>In this role, you will design, build, and optimize data pipelines and architectures to support AI and machine learning applications. You will collaborate with data scientists, ML engineers, and software developers to create scalable solutions for both real-time and batch processing. As a leader in data engineering efforts, you will ensure best practices are followed in data modeling, data quality, and data governance. Additionally, you will implement data security, privacy, and compliance requirements across our data platforms. You will evaluate and integrate new tools, technologies, and frameworks to continuously enhance our data engineering stack.</li></ul>
<b>Technologies:</b>
<ul><li>Airflow</li><li>AWS</li><li>Azure</li><li>Cloud</li><li>Docker</li><li>GCP</li><li>Support</li><li>Kafka</li><li>Kubernetes</li><li>Machine Learning</li><li>Python</li><li>SQL</li><li>Security</li><li>Spark</li></ul>
<p><b>More:</b></p>
<p>We are excited to offer a competitive salary of up to £110,000 and a hybrid working model that allows flexibility for remote work. This is a unique opportunity to work on cutting-edge AI projects and make a meaningful impact in a rapidly evolving field. We also prioritize professional development and offer upskilling opportunities to help you grow in your career. Join us in shaping the future of technology!</p>
<p>last updated 13 week of 2026</p>
<b>Requirements:</b>
<ul><li>We are looking for candidates with proven experience in data engineering, specifically focusing on large-scale data processing and real-time data platforms. Strong programming skills in Python and SQL are essential, along with experience in data engineering tools such as Spark, Kafka, and Airflow. A solid understanding of cloud-based data services (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is required. Familiarity with AI and ML frameworks, as well as experience working with data for machine learning models, will be beneficial. We value excellent problem-solving abilities and a passion for optimizing data workflows while working on state-of-the-art AI projects.</li></ul>
<b>Responsibilities:</b>
<ul><li>In this role, you will design, build, and optimize data pipelines and architectures to support AI and machine learning applications. You will collaborate with data scientists, ML engineers, and software developers to create scalable solutions for both real-time and batch processing. As a leader in data engineering efforts, you will ensure best practices are followed in data modeling, data quality, and data governance. Additionally, you will implement data security, privacy, and compliance requirements across our data platforms. You will evaluate and integrate new tools, technologies, and frameworks to continuously enhance our data engineering stack.</li></ul>
<b>Technologies:</b>
<ul><li>Airflow</li><li>AWS</li><li>Azure</li><li>Cloud</li><li>Docker</li><li>GCP</li><li>Support</li><li>Kafka</li><li>Kubernetes</li><li>Machine Learning</li><li>Python</li><li>SQL</li><li>Security</li><li>Spark</li></ul>
<p><b>More:</b></p>
<p>We are excited to offer a competitive salary of up to £110,000 and a hybrid working model that allows flexibility for remote work. This is a unique opportunity to work on cutting-edge AI projects and make a meaningful impact in a rapidly evolving field. We also prioritize professional development and offer upskilling opportunities to help you grow in your career. Join us in shaping the future of technology!</p>
<p>last updated 13 week of 2026</p>