Overview

Wärtsilä Oyj Abp company logo
Solution Engineer, Lifecycle Data Platform - Wärtsilä Oyj Abp - Helsinki, Finland
Data Engineer
Compensation
€3,500 - €6,000/month
Vacation: 4 weeks
Salary Context: Data Engineer
Market Average: Data Engineer
€432€7,000
Market Average: this role level Level
€4,000€6,500
In Helsinki, Finland: Data Engineer
€2,900€7,000
This Offer
€3,500€6,000
€432€7,000
per month
Location
Helsinki
Remoteness
Hybrid (Helsinki office)
Application Deadline
September 3, 2026
Posted: April 27, 2024
Role Level
Mid-Level
Management Tier
No People Management
Job Type
Full-time
Experience
3 years
Posted: April 27, 2024Deadline: September 3, 2026
Required Languages
English
Specialisations
Data engineeringData modelingAPI development

Job Description

Wärtsilä seeks a Solution Engineer for Lifecycle Data Platform to develop and maintain data models, pipelines, and APIs based on Neo4j, Airflow, and GraphQL, supporting sustainable energy and marine solutions.

Company Information

Wärtsilä Oyj Abp company logo

WärtsiläOyj Abp

Manufacture of engines and turbines, except aircraft, vehicle and cycle engines
Hiililaiturinkuja 2 00180 HELSINKI
Business ID: 0128631-1
Headcount: 402
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About

Wärtsilä Oyj Abp on julkinen osakeyhtiö, jonka toimiala on moottorien ja turbiinien valmistus (pl. lentokoneiden ja ajoneuvojen moottorit) ja kotipaikka Helsinki. Vuonna 2024 Wärtsilä Oyj Abp työllisti 402 henkilöä ja sen liikevaihto oli 119,0 milj. euroa, kasvaen 16% vuoteen 2023 verrattuna. Työnantajalla on tällä hetkellä 25 avointa työpaikkaa Duunitorilla, katso kaikki avoimet työpaikat täältä.

Financial Overview (2024)

Wärtsilä Oyj Abp was unprofitable in 2024 with revenue of €119.0M and a profit margin of -0.4%.

€119.0MRevenue-€51.0MProfit-0.4%Profit Margin

Data shown is based on historical job postings from our database.

Job Details

Requirements

  • Degree in IT or related field
  • Experience in data engineering and software development
  • Knowledge of Python and SQL
  • Willing to learn Neo4j and GraphQL
  • Experience with cloud technologies
  • Experience with DevOps and Agile
  • Good English skills

Responsibilities

  • Develop and maintain data models and pipelines
  • Ensure platform operation and observability
  • Design Cypher queries and optimize models
  • Build ETLs with Airflow and SQL
  • Develop Neo4j knowledge graph models
  • Operate business-critical services
  • Collaborate with developers and stakeholders

Field

Technology

Specialisations

  • Data engineering
  • Data modeling
  • API development
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