Senior Finance Data & AI engineer

Outokumpu Careers; Helsinki; On-site; EUR 90,000 - 150,000; Full time

Job summary

Outokumpu Chrome Oy in Helsinki is seeking a Senior Finance Data & AI Engineer to build data, AI and application solutions across closing, controlling, tax, treasury and financial transactional services.

Embedded within Finance, you will lead cross-functional teams, establish common standards and reusable patterns, and own the most complex and business-critical solutions from concept to production.

Qualifications

• 5+ years in data, AI, or software engineering with leadership or architecture ownership.
• Expert in Python, SQL, ML, GenAI, and production-grade applications.
• Experience with Databricks, Azure, CI/CD practices and ML/AI Ops.

Responsibilities

• Partner with finance teams to translate business needs into scalable data, AI and application solutions.
• Design and build data pipelines, ML and GenAI solutions, AI agents and user-facing apps using Databricks, Azure or similar tech.
• Own the full solution lifecycle: architecture, development, testing, CI/CD, deployment, monitoring, evaluation and retraining.
• Establish reusable engineering patterns and UI design systems.
• Set and promote standards for code quality, testing, MLOps, security, maintainability and accessibility.
• Mentor colleagues and lead technical reviews, using AI tools to improve delivery speed and quality.

Skills

Data & AI engineering

Python

SQL

Databricks

Azure

ML / GenAI

LLM frameworks

Production-grade apps

Architectural ownership

Education

Bachelor's or Master’s in CS/Engineering

Tools

Databricks

Azure

CI/CD

Azure DevOps

Job description

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About the role

As a Senior Finance Data & AI Engineer, you will build and develop Finance-owned data, AI and application solutions across areas such as closing, controlling, tax, treasury and financial transactional services.

Embedded within Finance, you will work closely with different finance teams to turn business challenges into practical, scalable solutions. You will also provide technical leadership for the team’s engineering output by establishing common standards and reusable patterns, supporting colleagues and taking ownership of the most complex and business-critical solutions.

Key responsibilities

• Partner with finance teams to translate business needs into scalable data, AI and application solutions, leading complex and cross-functional builds from concept to production.
• Design and build data pipelines, machine learning and GenAI solutions, AI agents and user-facing applications using Databricks, Azure or other relevant technologies
• Own the full solution lifecycle, including architecture, development, testing, CI/CD, deployment, monitoring, model evaluation and retraining.
• Establish reusable engineering and application patterns, including pipeline templates, agent frameworks, shared components and UI design systems.
• Set and promote standards for code quality, testing, MLOps, security, maintainability, accessibility and usability, while contributing to platform and technology decisions.
• Mentor colleagues, conduct technical reviews and act as an escalation point for complex builds, using AI-enabled development tools to improve delivery speed and quality.

What we are looking for

• At least five years of experience in data, AI or software engineering, including technical leadership or architecture ownership across a solution portfolio.
• Strong expertise in Python, SQL, data engineering, machine learning, GenAI and LLM/agent frameworks, together with experience building production-grade applications.
• Hands‑on experience with Databricks and Azure, including CI/CD, Azure DevOps or equivalent, and Data/ML/AI Ops practices.
• Strong application and front-end architecture capabilities, including reusable component design, design systems and maintainable user interfaces at scale.
• A bachelor’s or master’s degree in computer science, data/AI engineering, software engineering or a related field—or equivalent practical experience. Strong stakeholder skills are essential; finance process

Knowledge and relevant Azure, Databricks or AI certifications are considered advantages.
Agile scrum master experience considered advantage

Growth opportunities

This role offers the opportunity to develop into a technical or delivery lead covering Finance’s broader engineering portfolio. From there, the career path may progress toward senior architecture and technical leadership, platform and solution strategy, or broader end-to-end solution ownership.

For more information please contact: Senior Manager – Finance Business Analytics Nenad Veselinovic via phone [phone] during contact hours: 20th Nov 11-12 or 27th Nov 11-12 EET.

The selected candidate will be required to pass a security clearance vetting and health check (including drug tests) before commencing employment