AI Data engineer

• Multiple locations
• Hybrid

Job Description

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 tomorrows digital solutions.

Youll 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 youll contribute to projects where reliable data is essential for creating smarter products better services and informed business decisions.

At Etteplan youll 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 experience
• Strong 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 engineering
• Fluent communication skills in both Swedish and English written and spoken

It is considered a plus if you also have experience with:

• PostgreSQL
• Python
• / 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 youll 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.

Youll 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 youll 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 youll 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 dont 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.

Lets 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.