Offer summary
Qualifications:
4+ years in data transformation, Intermediate Python, SQL, cloud experience.Key responsabilities:
- Design and implement Data Pipelines
- Develop ingestion pipelines and transformations
- Automate data processes with tools
We're Hiflylabs, a vibrant team of 180+ data and tech enthusiasts based in Budapest. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world.
Over a Decade of Mastery:
For twelve years, Hiflyers have been reshaping industries through Data Warehousing, Business Intelligence, and Data Analytics. From consulting to operations, we offer tailored, hands-on solutions to complex business problems, helping our clients grow.
Our Commitment:
At Hiflylabs, we're not just about projects; we're about people. We believe that our people are our most valuable assets, and we are committed to nurturing their personal and professional development through our unique mentoring system.
Check out our Website, LinkedIn page and YouTube channel to get an insight into who we are and how we work!
About the Job/What will you do?
At Hiflylabs, we are looking to extend our Analytics Engineering team. This team typically works with international clients in small squads, almost exclusively in agile.
We expect you to be a Analytics Engineer at heart: a data-oriented person with data/software engineering chops.
You will be briefed on what the client wants on the business side (it’s in plain English and not overly complex).
You then pick the technical components needed to fulfill those needs, mostly out of cloud services we routinely work with. Some of these are standard AWS or GCP platform services, some are even more modern ones, like Snowflake, dbt, Fivetran, or Looker. You help to scope the sprints as well.
Sprint-by-sprint you take part in delivering a reliable, working solution that pleases the client and meets the business constraints as well.
Finally we celebrate with you, and help you move on to the next challenge that advances your personal and professional development.
You report to the CTO (who is managing the Analytics Engineering team). You usually touch bases a couple times per week – but you are expected to be self-sufficient, and you will not be micro-managed for sure.
Tasks
Requirements
Personal Traits
Why us?
Laborintos
Valuenet
Tailscale
Kunai
First Advantage