TL;DR

Senior Data Engineer: Designing, building, automating, and operating data platforms and data pipelines with an accent on automating infrastructure, monitoring, and recovery routines. Focus on solving complex data interaction problems and supporting client needs.

Location: Hybrid (Must be based in the Helsinki or Tampere area, Finland)

Company

%hirify_global% is an 800+ person community across Europe that helps organizations unlock new value by combining data, AI, design, and strategy.

What you will do

Design, build, automate, and operate data platforms and pipelines.
Automate infrastructure, monitoring, and recovery routines.
Collaborate with data scientists, software developers, and designers.
Work on diverse projects, domains, and business cases (e.g., media data architecture, real-time chat spam detector for gaming, governmental data accessibility).
Guide clients with a consultant mindset and support sales initiatives.

Requirements

Several years of work experience in data engineering.
Experience with data stack on AWS (RedShift, Glue, Athena) or Azure (Data Factory, Synapse, Databricks).
Strong know-how in building, deploying, and orchestrating data infrastructure (e.g., serverless computation, Sagemaker, CI tools, Terraform) with a DevOps mindset.
Excellent understanding of relational, document, and key-value databases.
Practical software experience with Python or Java.
Fluent in Finnish and English (C1+).

Culture & Benefits

Hybrid work model supporting flexibility and collaboration.
Free choice of work gear (laptop, phone, tablet, headphones).
Sports and lunch benefits, comprehensive healthcare, and additional health insurance.
%hirify_global% clubs, free-time activity groups, learning events, and internal communities.
Certification programs for continued development.
Collaborative, international environment built on trust, transparency, and care.

Hiring process

First conversation (60 min, Google Meet) with two team members.
Skills-based interview (90 min, Live) with two data consultants.
Role, expectations & projects interview (60 min, Live or Google Meet) with potential supervisor and Principal-level team member.
Reference calls.