Senior Cloud Data Engineer (AWS)

Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems. Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors. We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development. Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups. Get an insight on how we work and check out our Website , LinkedIn page and YouTube channel ! Responsibilities Data Solution Design and Development: Design, develop, and implement complex and scalable data solutions on the AWS cloud platform. Design, build, and optimize data pipelines to ensure efficiency and reliability. Programming & Scripting: Write clean, efficient, and maintainable SQL and Python code. Develop and maintain shell scripts to support automation. DevOps & Automation: Utilize Docker containers for containerizing applications and data pipelines. Establish and maintain CI/CD pipelines (e.g., GitHub Actions, GitLab CI/CD) for rapid and reliable deployments. Automate data pipeline processes. Cloud Data Services: Deliver solutions on AWS data services (e.g., S3, Redshift, Glue, EMR, Lambda). Design and implement data modeling and data warehousing solutions. Project and Team Management: Own and manage the technical aspects of deliveries (at least at the component level). Participate in project planning, task estimation, testing, and liaising with business stakeholders. Provide technical leadership to smaller teams. Create technical documentation. Requirements Programming & Scripting Must have Proficiency in both SQL and at least one imperative programming language, particularly in Python, emphasizing clean, efficient, and maintainable code. Experience with shell scripting. Devops & Automation: Familiarity with Docker and at least one CI/CD tool (e.g., Github Actions, GitLab CI/CD) to streamline deployment and manage data pipelines. Cloud Data Services A minimum of 5 years of hands-on experience in data engineering, with a strong focus on cloud-based solutions. Has delivered at least one complex and scalable data solution on at least one cloud platform’s data services (Primary AWS data engineering skills required, GCP/Azure experience beneficial.) Experience in working with dbt or SQLMesh is a plus. Soft and other skills Strong team player with a proactive mindset, eager to take on challenges and drive solutions. Great problem-solving skills, analytical thinking, and a structured approach to decision-making. Excellent written and verbal communication skills in English Why us? Diverse projects : In each assignment there is always something new either on the technical or on the business side that helps you grow. Cutting edge technology : We work with many of the most up-to-date technologies and tools. Strong and motivating team : We stress the importance of working together in tight-knit, cohesive teams in which members help each other to reach the common goal. Work-life balance : We help you to feel good individually as well, and coordinate work so as it should align with your leisure activities. Professional development : There are team gatherings on a regular schedule where colleagues can share their knowledge, and have deep technical discussions. Focus on company culture : In addition to our business and professional achievements we are proud of the social bonding in the company, which is based on mutual respect and helping one another. Personal mentoring : You will have your own mentor (just like everybody at Hiflylabs) who you can turn to with professional issues as well as with personal ones.