Asks for

The ad says“Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls.”
The ad says“Experience designing and building enterprise integrations using APIs, event streams, middleware, and integration platforms such as Azure Integration Services, Boomi, or equivalent.”
The ad says“Strong experience with Azure or AWS.”
The ad says“Strong experience with Azure or AWS.”
The ad says“Experience designing and building enterprise integrations using APIs, event streams, middleware, and integration platforms such as Azure Integration Services, Boomi, or equivalent.”
The ad says“Experience designing and building enterprise integrations using APIs, event streams, middleware, and integration platforms such as Azure Integration Services, Boomi, or equivalent.”
The ad says“Strong understanding of enterprise requirements, including data quality, governance, security, and compliance.”
The ad says“5+ years of experience in data platform engineering, data engineering, systems integration, or a similar technical role, with a track record of delivering enterprise solutions into production.”
The ad says“Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls.”
The ad says“5+ years of experience in data platform engineering, data engineering, systems integration, or a similar technical role, with a track record of delivering enterprise solutions into production.”
The ad says“Strong understanding of enterprise requirements, including data quality, governance, security, and compliance.”
The ad says“Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls.”
The ad says“Experience designing and building enterprise integrations using APIs, event streams, middleware, and integration platforms such as Azure Integration Services, Boomi, or equivalent.”
The ad says“Strong understanding of enterprise requirements, including data quality, governance, security, and compliance.”
The ad says“Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls.”
The ad says“Experience designing and building enterprise integrations using APIs, event streams, middleware, and integration platforms such as Azure Integration Services, Boomi, or equivalent.”
The ad says“Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls.”
The ad says“Strong understanding of enterprise requirements, including data quality, governance, security, and compliance.”
The ad says“Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls.”
The ad says“5+ years of experience in data platform engineering, data engineering, systems integration, or a similar technical role, with a track record of delivering enterprise solutions into production.”

WE MAKE AI REAL

Siili is at the forefront of AI-powered digital development. Here, AI isn’t just a buzzword – it’s embedded in how we design, build, and scale solutions together with our clients.

We are implementing our AI-centric strategy by focusing on three key areas:

Staying on the cutting edge of technical innovation from Generative AI and agentic systems to scalable AI platforms, while continuously developing our competencies.

Transforming how software is built, reinventing value chains and commercial models through AI-assisted and AI-native development.

Strengthening our ability to envision impactful and ethical AI solutions, ensuring that technology delivers measurable business value and is used responsibly.

At Siili, we bring humans, data, and AI together in meaningful ways. We help our customers turn ambitious ideas into production-ready AI solutions that are reliable, scalable, and aligned with real business goals. Our work spans from enterprise-grade AI platforms and MLOps foundations to LLM-powered applications embedded into core processes.

While we are technology-agnostic, our everyday tools include Azure, AWS, Databricks, Snowflake, and modern AI platforms and frameworks.

What will you do as a Forward Deployed Data & Integration Engineer at Siili?

As a Forward Deployed Data & Integration Engineer, you work at the intersection of modern data platforms, enterprise integrations, cloud environments, and AI delivery. Your mission is to help customers move AI and agentic solutions beyond pilots by connecting them to the data, systems, and platforms they need to create measurable business value in production.

You will work closely with 1–2 strategic customer accounts at a time, taking a hands-on role in designing and building the data platforms and integrations that AI solutions depend on. You’ll connect AI and agentic workflows with enterprise data, source systems, and downstream applications through APIs, data pipelines, event streams, middleware, and modern integration services.

This is not an architecture-only role. You combine hands-on engineering with architecture and design, working in complex customer environments to modernize data platforms and integrations and turn prototypes into secure, governed, monitored, and reliable production services.

What we’re looking for

We are looking for an experienced data platform and integration engineering professional who combines strong hands-on technical expertise with architecture capabilities, customer-facing skills, and experience enabling modern AI solutions.

We hope you recognize yourself in most of these:

5+ years of experience in data platform engineering, data engineering, systems integration, or a similar technical role, with a track record of delivering enterprise solutions into production.
Strong experience with modern data platforms such as Microsoft Fabric, Databricks, Snowflake, or equivalent, including data modeling, pipeline orchestration, and access and governance controls.
Experience designing and building enterprise integrations using APIs, event streams, middleware, and integration platforms such as Azure Integration Services, Boomi, or equivalent.
Strong experience with Azure or AWS.
Hands-on exposure to AI or agentic solutions, with an understanding of how they consume and depend on enterprise data, integrations, and platform infrastructure. You don’t need to be an LLM engineer, but you understand what it takes to enable AI solutions in enterprise environments.
Ability to combine hands-on implementation with architecture and design, taking solutions from prototype to reliable, production-ready services.
Strong understanding of enterprise requirements, including data quality, governance, security, and compliance.
Strong client-facing and consulting skills, with the ability to take ownership, navigate complex and evolving customer environments, and turn business needs into technical solutions.
Excellent communication skills. Fluent in English. Finnish or another Nordic language is considered an advantage.

What we offer

A technically strong and collaborative community: You’ll work with experienced AI, data, and software professionals who value knowledge sharing, autonomy, and peer support.
Opportunities to lead and influence: You’ll shape AI architectures, guide teams, and influence how AI is delivered across industries and clients.
Real-world impact, not just experiments: You’ll help deliver AI solutions that scale, integrate into real processes, and create measurable business value.
Continuous learning with top-tier partners: We support your growth through mentoring, training, and hands-on access to the latest technologies via partnerships with Microsoft, Databricks, Nvidia, and others.
Practical benefits: Flexible hybrid work, well-being support, hobby clubs, family-friendly services like daycare support for sick children, and a company share option program.
A company with a mission: You’ll have a genuine opportunity to shape how AI is built and used in a leading IT service company.
Mental well-being at the core: We know that thriving at work requires more than technical skills. That’s why we offer support through services like Focus Tiger, provide in-house coaching, and ensure that all our leaders have completed Brain-Friendly Leadership training with the NeuroLeadership Institute. You’ll have access to tools and support that help you take care of your mind as well as your career – because real impact starts with well-being.
A culture shaped by Joy, Ambition, Responsibility, and a Humane touch: At Siili, meaningful work, psychological safety, and responsible action are the foundation for sustainable success.

At Siili, you’re not just designing AI systems.

You’re shaping how AI becomes real – in production, at scale, with impact.

Make AI Real.