Senior Data Engineer - Build a Data Platform for Intelligent Automation

What it's all about

At Staria, we help international growth companies manage their finances more effectively by combining accounting services, ERP systems, and data‑driven solutions. Our goal is to make complex financial operations work smoothly across countries and systems.

How you'll make a difference

In this role, you are the person who makes the data platform real. You will not just design architecture but build it, run it, and evolve it in production. Your work is organized around three core responsibilities:

Data Pipelines & Platform

You own the overall data flow architecture. Our Naviloq Data team builds data flows into the semantic model, but you are responsible for how those flows integrate into the broader platform — and for building the pipelines that fall outside the semantic model entirely. As our service portfolio grows, new data sources and new types of data services will emerge, and the platform needs to accommodate them without becoming fragile or unmanageable.

In practice, this means designing and building a scalable Data Fabric in Azure using tools like ADF, Databricks, ADLS, and SQL. You will orchestrate data flows across multiple sources and destinations, implement change data capture and temporal models where needed, and build a platform architecture that supports onboarding new customers and new data services without custom pipelines every time.

Data Services

On top of the data platform, you build services that create direct business value. The first and most critical of these is automated data quality validation and anomaly detection — a service layer that proactively catches issues in production‑critical financial data before they reach customers or downstream processes. This means building validation rules that reflect real business logic across countries and ERP environments, implementing anomaly detection on key data flows to flag unexpected patterns early, and ensuring data lineage so that business‑critical data is auditable and traceable. Some of these services will consume data from the Naviloq semantic model; others will work with data sources outside it. Over time, the range of data services will grow, and you will play a central role in shaping what gets built and how.

IA Team Data Enablement

Your third responsibility is making sure the rest of the IA team — AI developers, RPA specialists, and integration engineers — have reliable, governed access to the data they need. AI models need curated training data and a path to return predictions back into the platform. RPA processes need trustworthy data inputs. Integrations need consistent, validated data flows between systems. You are the person who makes this work in practice: defining how data is served to different consumers, ensuring quality and freshness standards are met, and building the interfaces that allow the team to move fast without compromising data governance.

How it all connects

You won't tackle all three areas from day one, we'll prioritize together based on where the biggest impact is. Across all of them, you will work closely with AI developers, integration specialists, RPA developers, the Naviloq Data team, and product stakeholders. Most of your time will be spent building, testing, and deploying — this is a hands‑on role.

The practical stuff

We are seeking candidates based in the Helsinki area. Staria's hybrid work model offers the best of both worlds: a modern office in the heart of Helsinki, combined with the flexibility to work remotely. To ensure smooth collaboration with your team and stakeholders, we hope you're able to spend at least a few days per week at the office on average.

Our base salary range for this role is 6300–7800 €/month depending on your background and scope of the role. The holiday bonus is distributed evenly across your monthly pay, so it's part of your regular salary.

What helps you thrive in this role

This role is a great fit for you if you bring:

• a strong hands‑on mindset: you enjoy building data platforms yourself, not just designing them
• solid experience (+5 years) in data engineering, including several years working with Azure data platforms
• strong SQL and Python or PySpark skills at production level
• experience designing data architectures that integrate multiple data sources and serve multiple consumers — not just a single analytics use case
• practical knowledge of modern data modeling such as CDC, slowly changing dimensions, and temporal models
• experience building data quality frameworks, validation pipelines, or anomaly detection in production environments
• an understanding of semantic data models and how to build services and pipelines that consume and extend them
• familiarity with CI/CD practices for data solutions
• the ability to work in a cross‑functional team alongside AI, RPA, and integration specialists, and to communicate technical decisions clearly to different stakeholders
• fluency in English — Finnish skills are a plus

You'll likely enjoy this role if you're looking for broad ownership and are comfortable shaping both the problem and the solution in a small team. You won't get a ready‑made blueprint, but you will get the space to build and move things forward.

Why join us

• This is a role where you truly own the data platform. You will shape how it is built, make key technical decisions, and see your work become the foundation for AI and automation across the company.
• You'll work on a modern, greenfield‑style setup where you can build end‑to‑end solutions instead of maintaining legacy systems.
• We are serious about growth, but never too serious at work. Our hierarchy is low and the atmosphere is relaxed. Here, you can bring your whole self to work — personality, quirks, and all.
• Flexibility is part of our DNA. In our hybrid model you can work from home, our central Helsinki office, or even abroad from time to time.
• While we value flexible remote work, we also prioritize in‑person connections: onboarding and team days, office breakfasts, and shared events bring us together on a regular basis.
• We’re proud of our Great Workplace certification, because it’s based on what matters most: strong teamwork, sense of purpose, managers who truly listen, and a culture where people want to stick around.
• You’ll have the chance to grow and develop your career in various directions. We support your professional development and encourage you to seize new opportunities as we expand internationally.
• We’re growing and our finances are solid. You can focus on your work without worrying about the ground shifting under your feet.
• You’ll get benefits that make everyday life smoother: lunch, phone, and recreational perks are all part of the deal.

EEO Statement

At Staria, we believe that everyone brings something unique to the table. We appreciate diversity and are committed to creating a workplace where every employee feels valued. We warmly invite candidates from all backgrounds and experiences to apply and join our team.