Data Engineer

Travel is about more than the destination – it's about each memory you make along the journey. We are committed to shaping the future of travel, working with over 200 partnering companies from airline, hospitality, cruise, passenger rail and financial services sectors. We aim to create new, meaningful revenue streams through exceptional customer experiences. Our core values include ambition, innovation and collaboration, and we are dedicated to continuously raising the bar, exceeding expectations and bringing out the best in everyone. Together, we foster an environment in which we believe we're better, and we're working toward a future of extraordinary travel. We invite you to join us in turning everyday travel into special experiences. ABOUT THE ROLE: We are looking for a Data Engineer to join our team of skilled data scientists and engineers to enhance ancillary revenue products for airlines, cruise lines, hotels, and rail operators. The Data Engineer will be in charge of developing and maintaining data products, data pipelines and data warehousing solutions that empower our company to make the best business decisions. Also, the Data Engineer will handle liaising with Product and Commercial teams to help them understand their data needs, disclose requirements and offer technical guidance to the engineering teams. WHAT YOU WILL BE DOING: • Design, develop, and maintain data pipelines and data warehousing solutions • Work with a team of data scientists and engineers to identify crucial data and verify its accuracy for Machine Learning purposes • Utilise data in batch processing and streaming processing using big data tools • Keep an eye on and optimise the data pipeline to meet service-level objectives • Collaborate with Product and Commercial teams to communicate requirements and provide technical guidance • Work with multiple engineering teams (Development, QA, Platform, etc) to make sure data is captured, usable, and of high quality • Automate monitoring using real-time data to help identify potential issues in critical business KPIs • Participate in the design and implementation of data engineering projects. YOU ARE SOMEONE WITH: • Bachelor's degree in Computer Science, Software Engineering, Mathematics or a related field • 2 - 5 years of experience in a data engineering role • High proficiency in SQL and Python/Java • Experience in designing, building, and maintaining distributed systems • Knowledge in building and maintaining data pipelines and ETL processes using big data technologies • Experience with cloud-based data warehousing solutions • A solid understanding of data modelling, data warehousing, and data governance • Experience with version control systems like Git. PREFERRED: • Experience with data mining, machine learning, or deep learning • Familiarity with containerisation and orchestration technologies like Docker and Kubernetes • Experience with stream processing technologies • Experience with data cataloging tools • Experience with infrastructure as code tools. WHAT YOU’LL LOVE ABOUT US: • RRSP/401(k) Matching • Comprehensive Health Plans • Unlimited Vacation/PTO • Travel Experience Credit • Annual Wellness Credit • Team Events and Monthly Lunches • Home Office/Commuter Credit • Work From Anywhere Programme • Parental Leave Top Up • Adventure Pass. OUR PROCESS: Plusgrade is an equal-opportunity employer committed to equal opportunities, regardless of gender identity, race, ethnicity, creed, age, marital status, physical or mental disability, sexual orientation, or any other protected category. We provide an accessible recruitment process and accommodate applicants with disabilities upon request. Our interview process is designed for a positive candidate experience and ensures everyone is assessed equally. All applications will be reviewed and candidates who pass will go through a set recruitment process: • Recruiter Phone Interview • Hiring Manager Interview • Take-home Assignment or remote coding exercise (if applicable) • Team Interview. All candidates will receive feedback, whether they pass our interview stages or not. All information will be kept confidential.