We are looking for a Data Engineer to help build scalable, high-performance applications that transform the modern workplace. We are seeking someone that gets excited about solving complex problems, working with cutting-edge tech, and driving innovation in a fast-paced SaaS environment.
What you will do:
● Design, build, and maintain scalable data pipelines and cloud-native infrastructure.
● Integrate structured and unstructured data from various sources into data lakes and warehouses.
● Ensure data quality, consistency, and compliance through strong governance and validation frameworks.
● Manage and optimise data warehouses, lakes, and databases to support analytics and business intelligence.
● Develop automated dashboards and visualisations to deliver real-time insights to stakeholders.
● Identify and resolve data issues to improve accessibility, accuracy, and usability.
● Educate and support teams in leveraging data effectively, translating technical concepts into clear, actionable insights.
● Collaborate cross-functionally to align data strategy with business objectives.
What we are looking for:
● 2-3+ years experience in Data Engineering, ETL Development, or Database Administration.
● Prior experience working with business intelligence, analytics, or machine learning teams.
● Experience in cloud-native data solutions and real-time data processing.
● Proficiency in Databricks, Python, SQL (for ETL & data transformation).
● Knowledge of GDPR, data security best practices, and access control policies
● Strong problem-solving and analytical skills to optimise data processes.
● Excellent collaboration and communication skills to work with cross-functional teams.
● Ability to translate business requirements into technical solutions.
● Strong attention to detail and commitment to data quality.