Data Engineer (Python Focus) at Hiflylabs

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

0.0

Posted On

17 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, ETL Architecture, CI/CD, Infrastructure as Code, Containerization, SQL, Cloud Computing, Version Control, Spark, Airflow, Terraform, AWS

Industry

IT Services and IT Consulting

Description

Company Description 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! Job Description Main Tasks ETL Framework Development: Participate in designing, developing, and implementing modular ETL frameworks. Pipeline Optimization: Maintain and improve existing data solutions; feel confident diving into the codebase to suggest and implement structural improvements. Modern Engineering Practices: Apply modern development principles to daily workflows, including version control, containerization, deployment, and data governance. Infrastructure & Automation: Work with Infrastructure as Code (IaC) and CI/CD pipelines to ensure scalable and reliable data delivery. Qualifications Requirements Solid Python Knowledge: Medior-level proficiency with strong core programming skills (note: Python is not actively used for data transformation in the current project phase). ETL Architecture Understanding: Practical experience in building and structuring ETL solutions. You don't need to overthink it, but you must understand how these systems live and breathe. Modern Dev Toolkit: Hands-on experience or strong familiarity with CI/CD, IaC, version control, and containerization. Foundational SQL: Solid foundational knowledge of SQL (though it is not actively utilized in the current daily tasks). Cloud Literacy: A good general understanding of the cloud ecosystem and concepts. Autonomy & Ownership: Ability to take a defined task, see the big picture, and solve it independently. You know how to make confident decisions post-onboarding, but you also know your boundaries and when to align with the team. English Proficiency: Communication-level English (both oral and written). You need to be able to understand tasks and express your ideas clearly, but perfection is not required. Advantages (Future Tech Stack) Hands-on experience or strong interest in Spark, Airflow, or Terraform. Experience with AWS Data Engineering services (as the project's long-term roadmap moves closer to the AWS cloud environment). On-site presence: 2 days per week at our client's office Additional Information Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow. Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. Don't lose sight of the goal, the rest is up to you. Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they work best. Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration. Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path. Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential. Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company. Tag: DATA ENGINEERING

Responsibilities

Design, develop, and implement modular ETL frameworks while optimizing existing data solutions. Apply modern engineering practices including CI/CD, containerization, and Infrastructure as Code to ensure scalable data delivery.