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Overview

Accenture Oy company logo
Applied AI Data Engineer - Accenture Oy - Helsinki, Finland
Data Scientist
Salary Context: Data Scientist
Market Average: Data Scientist
€4,583 - €20,256
Market Average: this role level Level
€5,643 - €11,141
Estimated Offer
€5,643 - €11,141
€4,583€20,256
per month
Location
Helsinki
Remoteness
Onsite
Estimated Expiry
February 3, 2026
Role Level
Mid-Level
Management Tier
No People Management
Job Type
Full-time
Posted: December 30, 2025
Required:
English

Job Description

Join Accenture as an Applied AI Data Engineer to develop reliable data foundations for AI applications, focusing on data ingestion, transformation, and retrieval to support AI use cases like RAG, analytics, and agent workflows. Work mainly in Python with modern data tools to create scalable pipelines that enable AI solutions for business challenges.

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Company Information

Accenture Oy company logo

Accenture Oy

Business and other management consultancy activities
Porkkalankatu 5 00180 HELSINKI
Business ID: 0718166-8
Headcount: 2,248
Company Age: 37 years
About

Accenture on yhtiö, jonka toimiala on muu liikkeenjohdon konsultointi ja kotipaikka Helsinki. Vuonna 2024 Accenture työllisti 2248 henkilöä ja sen liikevaihto oli 365,3 milj. euroa, laskien 1% vuoteen 2023 verrattuna. Työnantajalla on tällä hetkellä 22 avointa työpaikkaa Duunitorilla, katso kaikki avoimet työpaikat täältä.

Financial Overview (2024)

Accenture Oy was profitable in 2024 with revenue of €365.3M and a profit margin of 0.1%.

€365.3MRevenue€17.3MProfit0.1%Profit Margin

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

Job Details

Requirements

  • 1-3 years coding experience
  • Basic understanding of data privacy and security
  • Experience with SQL and ETL/ELT pipelines
  • Familiarity with Spark/Databricks or Pandas
  • Exposure to LLMs/embeddings and vector stores
  • Comfortable with Git and cloud CLI tools

Responsibilities

  • Develop and maintain data workflows
  • Create pipelines for LLM retrieval
  • Design data models in SQL
  • Provide data access via APIs
  • Enhance workflow visibility
  • Monitor and troubleshoot data workflows
  • Collaborate with automation engineers
  • Understand data requirements

Field:

Data

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7 days agoPartial Schema