Medior Data Pipeline Engineer - Snowflake Migration

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!

Responsibilities

• Lead a Snowflake migration project, supporting the migration of ETL pipelines between source systems and Snowflake.
• Assign tasks, track progress, and ensure smooth day-to-day delivery.
• Manage stakeholders, align expectations, communicate progress, and coordinate with business teams and technical colleagues.
• Use SQL to validate data, check data quality, reconcile datasets, and investigate discrepancies.
• Oversee pipeline execution, troubleshoot issues, and help resolve technical blockers.
• Support data migration, validation, documentation, and knowledge handovers.
• Identify opportunities to improve migration processes, team collaboration, and delivery practices.
• Work during Hungarian business hours, collaborating with international stakeholders.

Requirements

• A medior Data Engineer with strong hands-on SQL skills and a good working knowledge of Python.
• Stakeholder management and communication skills, with the ability to align technical and business teams.
• Experience with ETL processes, data validation, data quality, or data migration.
• Familiarity with AI chat and coding tools and an openness to using them in everyday work.
• Strong analytical and problem-solving skills, attention to detail, and a proactive mindset.
• Good English communication skills for working with international stakeholders.
• Ability to manage multiple priorities and keep the team focused on delivery.

Nice to have

• Experience with Snowflake / Dataiku / Impala / db2.
• Multinational company experience
• Experience with modern data engineering stack: dbt, Airflow, Databricks or other relevant technologies

Working model

• Hybrid working model: 3 days on-site and 2 days working from home each week.
• Once every two weeks, you will work adjusted hours aligned with the New York time zone to support business operations.

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 Road 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.