TL;DR

Data Team Lead (AI/Data Platform): Defining and executing %hirify_global%’s data strategy and evolving the data platform architecture with an accent on AI-first engineering, data governance, and scalable data pipelines. Focus on enabling self-service analytics, driving automation, and fostering a culture of experimentation within the data team.

Location: Hybrid role based in Zurich, Switzerland, with availability to travel to Poland.

Company

%hirify_global% connects companies and workers through a platform built for flexible work.

What you will do

Define and own %hirify_global%’s AI-first data strategy and vision.
Oversee and evolve the data platform architecture built on Databricks and AWS.
Guide the team in building scalable, performant, and observable data pipelines.
Champion data democratization and enable self-service analytics leveraging AI.
Lead, mentor, and grow a team of data engineers and a business analyst.
Establish standards for data governance, quality, and compliance.

Requirements

3+ years leading data engineering or analytics teams.
Strong experience with modern data architectures (Data Lakes, ETL pipelines, Databricks, AWS, SQL).
Fluent in English.
Passion for how data enables AI, from model training to intelligent analytics.
Hands-on engineering ability in pipelines, transformations, and data modelling.
Experience advocating for data democratization and self-service analytics.

Nice to have

German language skills.

Culture & Benefits

Join a team rebuilding a platform from the ground up with AI, automation, and scalability at its core.
Autonomy to shape both the data strategy and the culture around it.
Values: Agile, Collaborative, Empowering, Fair, and Passionate.
Opportunity to make a difference by connecting companies and workers.

Hiring process

Prescreening call with an internal recruiter.
Hiring Manager Conversation with the VP of Engineering.
Technical & Strategic Challenge (homework exercise and presentation).
Fast Feedback within days after the final round.