We are looking for Applied AI Data Engineer to join our diverse team of professionals. In this role, you will help build reliable data foundations for AI use cases — implementing ingestion, transformation, and retrieval components that power RAG, analytics, and agent workflows. You’ll work primarily in Python with modern data tools to turn business needs into maintainable pipelines. Your work will enable scalable, reliable AI solutions for real-world business challenges. This position offers the opportunity to work with cutting-edge AI technologies and contribute to creating value.

Responsibilities

• Develop and maintain data ingestion and transformation workflows using tools like Python, Spark/Databricks, or Pandas.

• Create and manage essential pipelines for LLM retrieval, including vectorization, chunking, and indexing features or embeddings.

• Design and execute data models in SQL, working across data lake or warehouse layers to maintain data quality and traceability.

• Provide data access through streamlined services and APIs to support automation and application needs.

• Enhance workflow visibility by adding logging and metrics and support CI/CD processes for data operations.

• Monitor and troubleshoot data workflows to ensure reliability and performance.

• Work closely with automation engineers to connect data services with LLM endpoints and related applications.

• Work with stakeholders to understand data requirements and ensure data pipelines meet business needs.

Basic Qualifications

• 1-3 years coding experience (Python preferred)

• Basic understanding of data privacy and security best practices.

• Practical experience with SQL and building ETL/ELT pipelines.

• Familiarity with Spark/Databricks or equivalent; Pandas for smaller datasets.

• Exposure to LLMs/embeddings and vector stores (projects/labs).

• Comfortable with Git and basic cloud CLI tooling.

Preferred Qualifications

• Experience in Cloud/data stack tools (Azure, AWS, GCP, Databricks).

• Experience with version control and collaborative development (e.g., GitHub, GitLab)

• dbt, Airflow/Prefect, Kafka/Event Hubs; containerization basics (Docker).

• Vector databases/search (FAISS, Pinecone, Azure AI Search).

• RAG pipeline design; prompt/response management for data retrieval.

Professional Skills

• Builder mindset; systems thinking; quality‑minded (tests, docs, continuous improvement)

• Occasional travel may be required

• Full professional proficiency in English is required. Finnish is optional but advantageous.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

 Visit us at www.accenture.com 

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