AI Data engineer - Etteplan Oyj - Remote - Global

At Etteplan, we help our customers transform data into insights, innovation, and business value. As AI continues to reshape industries, the importance of high-quality data, scalable platforms, and reliable architectures has never been greater. To strengthen our Platform & Software Solutions teams, we are now looking for AI Data Engineers who want to play a key role in building the data foundations that power tomorrow's digital solutions. You'll work closely with customers across industries such as automotive, industrial technology, and advanced product development, helping them design and develop modern data platforms, integrations, and cloud-based solutions. Together with colleagues within software engineering, cloud, and AI, you'll contribute to projects where reliable data is essential for creating smarter products, better services, and informed business decisions. At Etteplan, you'll become part of a collaborative and knowledge-sharing culture where curiosity, technical excellence, and continuous learning are highly valued. We offer varied assignments, opportunities to develop your expertise, and the chance to work with technologies that are shaping the future. Your mission As an AI Data Engineer, you will be responsible for designing, developing, and improving data foundations that support both business-critical systems and AI-driven solutions. Your responsibilities may include: Designing and maintaining scalable data models Building and maintaining ingestion pipelines, integrations, and data flows Establishing reliable data pipelines, data contracts, and quality controls Integrating external systems and data sources Improving data quality, traceability, and observability Contributing to backend and cloud infrastructure, including databases, monitoring, and scaling Collaborating with architects, developers, product teams, and customers Supporting engineering best practices, documentation, and CI/CD ways of working Supporting data governance and responsible AI initiatives where relevant Who are you? Whether you are early in your career or an experienced specialist, you have a strong interest in data engineering and enjoy building reliable, scalable solutions that create value through data. You are curious about new technologies, keep up to date with developments within AI and data engineering, and enjoy collaborating with colleagues and customers to solve complex challenges. You are a person who enjoys taking initiative, sharing knowledge, and working collaboratively to create solutions that make a real difference for customers. Depending on your experience level, there will be opportunities to grow into technical leadership, architecture, and governance roles while continuing to develop your expertise within data and AI. To succeed in this role, we believe you have: Degree in Computer Science, Engineering, or equivalent experienceStrong experience with SQL and relational data modelling Experience designing, building, and maintaining data pipelines Experience working with APIs and integrations Experience from at least one cloud environment, preferably AWS Working knowledge of agentic AI concepts and a genuine interest in following state-of-the-art developments in AI and data engineeringFluent communication skills in both Swedish and English, written and spoken It is considered a plus if you also have experience with: PostgreSQL Python Node.js / TypeScript Snowflake and the modern data stack Data governance, AI governance, or AI solution architecture Architectural ownership within data, backend, or platform engineering Implementing or working with the EU Data Act and EU AI Act Marketplace, multi-stakeholder, startup, or other fast-moving product environments What we offer At Etteplan, you'll have the opportunity to work with a wide range of customers and projects – from established industrial leaders to innovative technology companies. Our assignments span multiple industries, giving you the chance to broaden your experience, build deep technical expertise, and continuously challenge yourself in new environments. You'll be part of a collaborative team that combines expertise in software development, cloud, AI, and data engineering. Knowledge sharing is a natural part of our culture, and you'll have colleagues who are eager to support, challenge, and learn from each other. We offer: Varied and technically challenging assignments across multiple industries The opportunity to work with modern data platforms, cloud technologies, and AI solutions A collaborative culture built on knowledge sharing and teamwork Continuous learning and professional development through projects, training, and experienced colleagues Opportunities to grow into architecture, technical leadership, or specialist roles Flexible ways of working that support a healthy work-life balance Competitive benefits, including wellness allowance, occupational pension, and other local employee benefits At Etteplan, you are never limited to a single project, technology, or industry. Whether you want to deepen your expertise within data engineering, explore new technologies, or take on greater technical responsibility, you'll find opportunities to grow and shape your career with us. Application and Next Steps You apply by uploading your CV and answering a few short questions related to the position. Selection and interviews are conducted continuously, so don’t hesitate to submit your application. The recruitment process begins with a phone interview and is followed by meetings with the responsible consulting manager and, if needed, additional colleagues. Our goal is to keep the process smooth so that together we can take the next step forward. Let's build the data foundations behind the next generation of AI-powered solutions. The summer period is here, and we have several open positions available during the holiday season. This typically means that we receive more applications than usual. As the selection process will take place during the first weeks of August, it may take a bit longer for us to get back to you regarding your status in the recruitment process.