Data Engineer (get the Palantir skill)
WHO WE ARE
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. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.
At the AI&Data, we work locally and globally with over 200 Poland‑based specialists, delivering end‑to‑end data and AI solutions. We collaborate with leading technology partners to build modern data platforms and advanced analytics capabilities.
THE WORK
In this role, you will join a project focused on designing and implementing data engineering solutions in Palantir Foundry. You will work across the entire lifecycle - from connecting data sources, building data pipelines, and modeling semantic layers, to developing applications within Foundry that support real‑world operational and analytical needs.
You do not need previous experience with Palantir - we will train you.
You will receive full onboarding, including Foundry Aware certification and a two‑week onsite Palantir training in Europe. After the training, the work is performed on-site.
Your responsibilities will include:
Designing end‑to‑end solutions that translate client requirements into scalable Foundry‑based workflows.
Building and maintaining data pipelines and ETL/ELT processes powering decision‑making models.
Developing operational workflows and decision‑support tools that improve enterprise operations.
Collaborating with teams to apply AI and machine‑learning models to client challenges.
Partnering with clients to get, understood requirements and based on them deliver sustainable transformation and trusted long‑term solutions.
Creating and maintaining Ontology components (objects, properties, links, actions).
Build user-facing applications and dashboards using Foundry tools (Workshop, Slate, Quiver, Vertex), optimizing for user experience, maintainability, and operational impact.
Flexible: The work location for this role may include a mix of working onsite at a client or in an Accenture office in Warsaw – depending on specific project circumstances. As an employer, we will be as flexible as possible to support your specific work/life needs.
WHAT’S IN IT FOR YOU?
Opportunity to gain Palantir Foundry skills through structured training and certification.
Hands‑on experience contributing to international AI&Data projects.
Work in a diverse team of data engineering and analytics specialists.
REQUIRED QUALIFICATIONS:
Minimum 2 years of experience in data engineering.
Proficiency in Python, SQL, and Spark/PySpark.
Experience building data pipelines, ETL/ELT processes, and data models.
Ability to work onsite in Warsaw following the training phase.
Fluency in Polish.
PREFERRED QUALIFICATIONS
Experience with Palantir platforms (Foundry, Gotham) or similar technologies.
Understanding of AI/ML workflows or operational workflow design.
Interest in learning new technologies, including Palantir Foundry
BONUS POINTS IF YOU HAVE:
Experience with Palantir platforms (Foundry, Gotham) or similar technologies.
Understanding of AI/ML workflows or operational workflow design.
WHAT WE OFFER?
Permanent employment contract.
Palantir Foundry structured training and certification.
Individual support of a People Lead and a clear path of professional development, with access to Coaching sessions.
A wide training package, including:
soft skills, technical and language trainings
access to e‑learning platforms
Gallup test
GenAI training
co‑financing for courses and certification programs
Employee Assistance Program (legal, financial, psychological support).
Participation in the Employee Share Purchase Plan, making you eligible for quarterly dividends if you own company shares.
Paid employee referral program.
Private medical care and life insurance.
Access to the Worksmile benefits platform (including sports cards and a broad range of services).
WHAT WE BELIEVE
When applying please enclose the below statement:
Warsaw
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