GenAI & Data Platform Engineer

Accenture Nordics; København; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

Accenture Nordics is seeking an AI & Data Engineer to join our Digital Core – AI & Data team in Denmark. You will build data pipelines and platforms that analytics and AI run on, while delivering GenAI-powered features and applications using LLMs, RAG, and agent-based approaches.

You will work with data engineers, data architects, and AI specialists to solve business challenges across industries, developing analytical models, AI solutions, and actionable insights with measurable impact.

Qualifications

• Bachelor's or Master's in CS, SE, Data Eng, Data Science, Math, Physics, Engineering, or related field.
• Strong Python/SQL and data engineering fundamentals.
• Experience building data pipelines and AI/ML systems.
• Knowledge of cloud data platforms and MLOps.

Responsibilities

• Build, test, and maintain data pipelines ingesting data from diverse sources.
• Prepare, clean, and model data for analytics, ML, and Generative AI use cases.
• Develop on cloud platforms using Databricks, ADF, Snowflake, Fabric.
• Work with Spark and Kafka for scalable data processing.
• Build GenAI features: RAG, prompts, agent workflows, LLM API integrations.
• Support deployment and monitoring of AI/ML models in production (MLOps).
• Contribute to data quality, validation, and governance.
• Collaborate with stakeholders to translate data/AI needs into solutions.
• Stay current on data engineering and GenAI tooling.

Skills

Python

SQL

LLMs

Data pipelines

Cloud platforms

Databricks

Spark

Kafka

Git

Docker

CI/CD

Terraform

dbt

TensorFlow

PyTorch

Education

Bachelor's or Master's in CS/SE/Data Engineering/Data Science/Math/Engineering

Tools

Databricks

Azure Data Factory

Snowflake

Fabric

Spark

Kafka

Airflow

dbt

Terraform

Git

Docker

Job description

Accenture Nordics is seeking an AI & Data Engineer to join our Digital Core – AI & Data team in Denmark. You will build data pipelines and platforms that analytics and AI run on, while delivering GenAI-powered features and applications using LLMs, RAG, and agent-based approaches.

You will work with data engineers, data architects, and AI specialists to solve business challenges across industries, developing analytical models, AI solutions, and actionable insights with measurable impact.