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Senior Data Engineer - Build a Data Platform for Intelligent Automation at Staria

Tehtävä Senior Data Engineer - Build a Data Platform for Intelligent Automation
Julkaistu 23 Jun 2026
Vanhentunut 23 Jul 2026
Yritys Staria
Sijainti Helsinki | FI
Työsuhteen tyyppi Full Time

Työnkuvaus:

Uusimmat työtiedot yritykseltä Staria tehtävään Senior Data Engineer - Build a Data Platform for Intelligent Automation. If the Senior Data Engineer - Build a Data Platform for Intelligent Automation avooin työpaikka kohteessa Helsinki vastaa pätevyyttäsi, lähetä uusin hakemuksesi tai CV:si suoraan päivitetyn Jobkos-työpaikkaportaalin kautta.

Huomioithan, että työpaikan haku ei ole aina helppoa, sillä ehdokkaiden on täytettävä yrityksen asettamat vaatimukset. Toivomme, että uramahdollisuus yrityksessä Staria tehtävään Senior Data Engineer - Build a Data Platform for Intelligent Automation vastaa tavoitteitasi.

Do you want to build a data platform from the ground up and see it in real use across teams and services? Would you like to own a data foundation end‑to‑end, powering AI, integrations, and business‑critical services across multiple countries? And what if your work became a key part of how an entire Yritys uses data?

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.

The Intelligent Automation team is at the center of how we build that. The team brings together AI, ML, RPA and integration capabilities to automate and improve financial processes at scale. Alongside the IA team, our Naviloq Data team builds semantic data models that transform raw client data into a structured, governed representation of financial reality across ERPs and countries.

Role Overview

This role sits in the IA team and is the bridge between these worlds. You own the data platform that ties it all together: ensuring Naviloq's semantic data flows are integrated into the broader data ecosystem, building data pipelines for sources and services that live outside the semantic model, and creating the data services and infrastructure that the rest of the team depends on.

How You'll Make a Difference

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. Design and build a scalable Data Fabric in Azure using ADF, Databricks, ADLS, and SQL. 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 Ensimmäinen 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. Build validation rules that reflect real business logic across countries and ERP environments, implement anomaly detection on key data flows to flag unexpected patterns early, and ensure data lineage so that business‑critical data is auditable and traceable.

IA Team Data Enablement

You make sure the rest of the IA team — AI developers, RPA specialists, and integration engineers — have reliable, governed access to the data they need. Define how data is served to different consumers, ensure quality and freshness standards are met, and build 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 will prioritize together based on where the biggest impact is. Most of your time will be spent building, testing, and deploying — this is a hands‑on role.

Eligibility and Sijainti

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. You should be able to spend at least a few days per week at the office.

Compensation

Base salary range: 6 300–7 800 € per month. Holiday bonus is distributed evenly across your monthly pay.

Required Skills
  • 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 communicate technical decisions clearly to different stakeholders
  • fluency in English — Finnish skills are a plus
Benefits
  • Full ownership of the data platform, and influence on how it drives AI and automation across the Yritys
  • Work on a modern, greenfield‑style setup, building end‑to‑end solutions instead of maintaining legacy systems
  • Low hierarchy and relaxed atmosphere; bring your whole self to work
  • Hybrid model with flexibility to work from Koti, the central Helsinki office, or abroad from time to time
  • Prioritise in‑person connections: onboarding and team days, office breakfasts, and shared events
  • Great Workplace certification, based on teamwork, purpose, listening managers, and a culture where people stay
  • Opportunities for career development and new international opportunities as the Yritys expands
  • Solid financial Tehtävä; focus on work without worrying about the ground shifting
  • Perks: lunch, phone, recreational perks as part of the benefits package
Equal Opportunity 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.

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Tiedot työpaikasta:

  • Yritys: Staria
  • Tehtävä: Senior Data Engineer - Build a Data Platform for Intelligent Automation
  • Työskentelypaikka: Helsinki
  • Maa: FI

Näin lähetät työhakemuksen:

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