Data Analytics Engineer, Uusimaa

• The Data Analytics Engineer will join a data platform and services team building security software for Wi‑Fi routers that protects millions of devices.
• The role is placed in either the Data Platform Unit or Data Product Development depending on your strengths, focusing on core infrastructure or user‑facing data products.
• Responsibilities include building robust data pipelines, tools and dashboards, providing curated datasets, translating stakeholder requirements, and managing projects.
• Required qualifications are 1–2 years in data roles, strong software engineering foundations, proficiency in Python, AWS and Git, fluent English, and strong communication and project management skills.

Our customer is growing their data domain and we are now looking for a Data Analytics Engineer to join their data platform and services team!
Please take a look and apply as soon as possible! We will proceed with the most suitable candidates right away.

About the role

Our customer is developing a cutting-edge security software solutions for home networks. Their technology protects millions of connected devices worldwide by focusing on cybersecurity, privacy, and parental controls.

Depending on your strengths and experience, you will contribute to a variety of data-related initiatives across the organization. Your work may range from building and improving data infrastructure and services to developing data-driven solutions that help teams make better decisions. You will collaborate closely with engineers, analysts, and stakeholders to solve meaningful business challenges and deliver high-impact outcomes.

Work tasks

• 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.

We are looking for

Technical Background & knowledge

• 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

Soft Skills & Mindset

• Cooperative & Communicative: Strong interpersonal skills to collaborate across teams and understand end-user needs.
• Pragmatic Project Management: Ability to estimate effort, stick to timelines, communicate progress, and stay on track.
• Industry Experience & Curiosity: Experience in tech/AI environments, with a passion for experimenting with modern AI tools (e.g., Claude, LLMs) or personal hobby projects.

Our recruitment process

This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work.

Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.