Data Analytics Engineer — Build Data Pipelines & Dashboards

Academic Work Finland Oy; Uusimaa; On-site; EUR 50,000 - 75,000; Full time

Benefits offered by this job

Real-world data streams

Senior mentorship

Role flexibility

Job summary

Academic Work Finland Oy is seeking a Data Analytics Engineer/Data Engineer to join a security software-focused team responsible for data infrastructure and product development. You will work with large real-world data streams and collaborate with senior engineers to deliver robust data solutions.

The role emphasizes mentorship, flexibility in role alignment (Platform vs Product), and opportunities to experiment with AI tools while upholding data engineering best practices.

Qualifications

• Data & Analytics Background: Experience (preferably at least 1-2 years) as a Data Analytics Engineer, Data Engineer, or a Data Analyst with strong technical/engineering capabilities (e.g., building dashboards, analyzing complex datasets, and designing data flows).
• Software Foundations: Strong understanding of software engineering best practices.
• Core Tech Stack: Python, AWS and Version Control (Git/Github)
• Fluent spoken and written English

Responsibilities

• Bridge the gap between data analytics and data engineering by building robust data pipelines, tools, and dashboards.
• Provide tools, infrastructure, and curated datasets that enable other product and business teams to draw actionable insights.
• Collaborate closely with internal stakeholders to translate business and technical requirements into concrete data solutions.
• Manage your own projects, including effort estimation, deadline tracking, and active stakeholder communication.

Skills

Data Analytics

Data Engineer

English fluency

Software foundations

Tools

Python

AWS

Git/Github

Job description

Academic Work Finland Oy is seeking a Data Analytics Engineer/Data Engineer to join a security software-focused team responsible for data infrastructure and product development. You will work with large real-world data streams and collaborate with senior engineers to deliver robust data solutions.

The role emphasizes mentorship, flexibility in role alignment (Platform vs Product), and opportunities to experiment with AI tools while upholding data engineering best practices.