Data Engineering Consultant (Cloud & AI) - ICH Europe

What you will do

Our Technology Strategy and Advisory services help reinvent organizations and build business value thanks to resilient industry-specific technology architectures, as well as cost-efficient and flexible cloud and data solutions. We guide our Clients throughout the transformation journey, we start with a technology and ecosystem strategy that lays a future-ready foundation. 

We work directly with our Clients, to solve their unique needs. We assume that no two Clients are alike therefore we are flexible, innovative and able to find solutions to non-standard challenges.  

We deliver consulting assignments across industries and geographies. We work with some of the biggest organizations worldwide, your impact will be truly global and you will collaborate with the brightest minds in the industry. 

What’s in it for you:

• Apply cloud and data engineering skills to solve problems and design approaches
• Propose, build and implement big data engineering solutions for clients
• Design and develop scalable data pipelines to ingest, process, and transform large datasets
• Optimize data workflows for performance, cost efficiency, and reliability
• Integrate data from multiple sources (APIs, databases, streaming services) into cloud-based architectures
• Ensure data quality, consistency, and security throughout the data lifecycle
• Collaborate with cross-functional teams, including data scientists, analysts, and DevOps engineers

What we offer

• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach.
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification).
• Employee Assistance Program - legal, financial, and psychological consultations.
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the WorkSmile benefits platform (possibility of using a wide range of products and services, including the Multisport card).

Working Conditions: 

• Employment contract (umowa o pracę)
• Headquarter in Warsaw with offices in Kraków, Wrocław, Łódź and Gdańsk.
• Traveling to work with prestigious clients and deliver large-scale transformational change. We deliver our work in hybrid model, remotely, in our offices but also traveling and working closely with our Clients in their offices. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. That is why traveling declaration, willingness and ability to work at client locations mostly across Europe and beyond, for short or long term, is required.
• The work location for this role may include a mix of working remotely, onsite at a client, or in an Accenture office—depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning, and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

Requirements

• 1-5 years of relevant professional experience
• Experience in parallel data processing using Apache Spark or Databricks or Palantir Foundry
• Ability to articulate complex problems and solutions in a simple and logical manner
• Strong technical skills: SQL, Python, PySpark
• Familiarity with public cloud vendors (AWS, Azure, or GCP)
• Experience in building ETL/ELT pipelines and data lakes

Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if you do not meet every requirement, we wholeheartedly encourage you to submit your application.