Data Engineer AWS (Airflow)

Cookie duration depends on the cookie type:* see below, ‘Google Analytics’# - To help protect web applications and infrastructure from security attacks.**Google Analytics:*** **\_\_utma Cookie**: A persistent cookie that remains on a computer, unless it expires or the cookie cache is cleared. It tracks visitors. Metrics associated with the Google \_\_utma cookie include: first visit (unique visit), last visit (returning visit). The cookie is updated every time data is sent to Google Analytics.* **\_\_The cookie is created when the javascript library executes and is updated every time data is sent to Google Analytics.* **\_\_It is used for segmentation, data experimentation and operates with the \_\_utmz cookie to improve cookie targeting capabilities.Please also see section Additional Information about Google Analytics# **Additional Information about Google Analytics**This Website uses Google Analytics, a web analytics service provided by Google, Inc. ("Google") in the US.Google will use this information for the purpose of evaluating the use of the Website, compiling reports on website activity and providing other services relating to website activity and internet usage. Google may also transfer this information to third parties where required to do so by law, or where such third parties process the information on Google's behalf.Google does not associate IP addresses with any other data held by Google..Lidc: This cookie is used to optimize data center selection and expires after 24 hours.We are seeking a skilled Data Engineer to drive the design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making. The ideal candidate has strong experience in data architecture, ETL processes, cloud platforms and database technologies. You will work closely with data analysts, data scientists, and business stakeholders to ensure high-quality, reliable, and accessible data solutions.**Data Architecture & Pipeline Development*** Design, develop, and maintain scalable data pipelines and workflows* Build and manage ETL/ELT processes to ingest, transform, and load data from multiple sources* Develop and maintain data warehouses and data lakes* Integrate data from APIs, internal systems, third-party platforms, and databases* Automate manual data processes to improve efficiency and scalability**Data Quality, Governance & Security*** Ensure data accuracy, integrity, and consistency across systems* Implement and enforce data governance, security, and compliance standards* Maintain clear documentation of data models, architecture, and processes* Establish data validation, monitoring, and alerting mechanisms**Performance Optimization & Operations*** Monitor, troubleshoot, and optimize data workflows and pipeline performance* Optimize database queries and improve overall system efficiency* Support continuous improvement of data infrastructure* Participate in code reviews and follow best practices in version control and CI/CD**Collaboration & Business Support*** Work closely with analysts, data scientists, and business stakeholders to translate requirements into technical solutions* Provide clean, structured datasets to support analytics and reporting* Support business intelligence initiatives and advanced analytics use cases**Education*** Bachelor’s degree in Information Management, Computer Science, Data Science, or related field or relevant work experience**Work Experience*** 2+ years of experience in data engineering or related role (adjust per level)* Strong proficiency in SQL* Experience with Python, Scala, or Java* Experience with ETL/ELT tools (e.g., Fivetran, Airflow, dbt, Talend, Informatica)* Hands-on experience with Snowflake, AWS, Azure, or GCP* Experience with relational and NoSQL databases* Understanding of data warehousing and dimensional modelling**Certification, licenses and registration*** Industry certifications (any professional-level cloud certification (AWS/Azure/GCP, Snowflake)**Core Competencies Required*** Strong analytical and problem-solving skills, ability to diagnose complex data issues and develop scalable solutions* High attention to detail, ensuring data accuracy, integrity, and reliability* Clear and effective communication skills, translating technical concepts for non-technical stakeholders* Collaborative mindset, working effectively across cross-functional teams* Strong sense of ownership and accountability for data quality and pipeline performance* Adaptability and continuous learning orientation in a fast-evolving technology environmentIf you want to be part of a team that helps make travel and culinary memories, join us!gategroup is the global leader in airline catering, retail-on-board and hospitality products and services. Headquartered in Zurich, Switzerland, gategroup delivers operational excellence through the most extensive catering network in the aviation industry, serving passengers from over 200 operating units in over 60 countries/territories across all continents.Industry trends and customer expectations are constantly evolving and it is critical that we are agile, innovative and ready for change - and our people are our driving force.