Data Modeler Manager/Consultant (She/He/They) - ICH Europe

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. 

As a Data Modeler/Designer, you will play a critical role in shaping the organization's data architecture strategy to meet evolving business goals. Combining your technical expertise with a collaborative mindset, you will design and implement scalable, efficient, and secure data solutions. Working with cutting-edge technologies in cloud computing and AI, you will drive innovative approaches to data management, ensuring the organization stays ahead in a rapidly evolving digital landscape. By collaborating with cross-functional teams, you will deliver high-quality data models and structures that power analytics, streamline reporting, and enhance decision-making. 

What’s in it for you: 

• Collaborate with stakeholders to build and define data architecture strategies that align with business goals, ensuring strategic outcomes. 
• Work closely with data engineers, data scientists, and IT teams to define robust data models and structures that support analytics and reporting needs. 
• Oversee the integration of diverse data sources, ensuring consistency, reliability, and quality across data pipelines and systems. 
• Evaluate and recommend appropriate technologies for data storage, processing, and analysis, balancing short-term priorities with long-term scalability. 
• Ensure compliance with data governance, privacy, and regulatory standards, fostering high-quality data management practices. 
• Provide thought leadership and guidance on best practices for data architecture, performance optimization, and troubleshooting. 

• 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).
• Company car.

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. 

• Bachelor’s or Master’s Degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or a related field. 
• Strong expertise in Data Modeling and Design, including building conceptual, logical, and physical data models. Knowledge of modeling approaches such as Kimball, Data Vault, and Inmon is essential. 
• Expert knowledge of Python and SQL for querying and managing databases. 
• Proven experience in designing and managing Data Warehouses on platforms like Snowflake, Amazon Redshift, or Google BigQuery. 
• Proficiency in at least one major cloud platform (AWS, GCP, Azure), including leveraging its data-related services. 
• English is a must have, German is a plus.  
• 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.