Data Analytics Engineer, Uusimaa

Tiivistelmä työpaikkailmoituksesta: 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. Tämä tiivistelmä on luotu tekoälyn avulla. 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 integrated directly into Wi-Fi routers. Their technology protects millions of connected devices worldwide by focusing on cybersecurity, privacy, and parental controls. Their primary clients are global telecommunications operators and internet service providers who rely on their platform to deliver safe, reliable digital experiences. Depending on your strengths and experience, you will join one of the two dedicated data streams under the leadership of Data Lead: Data Platform Unit: Focuses on developing, refining, and maintaining the core infrastructure. You will work closely with other technical teams to understand their needs, gather requirements, and ensure the foundational tooling supports the wider business. Data Product Development: Focuses on creating user-facing and internal data products. In this unit, you will tackle more complex challenges, pairing directly with senior engineers to solve high-impact problems. What We Offer Opportunity to work with massive, real-world data streams protecting millions of devices. A collaborative environment with strong mentorship from senior team members. Flexibility in role alignment based on your experience (Platform vs. Product focus). 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.