Data Engineer with Snowflake (AI&Data)

At the AI&Data, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

You will:

• design, build and maintain scalable data pipelines and data processing frameworks supporting analytics and AI use cases.
• collaborate with business stakeholders, solution architects and technical leads to translate business requirements into robust data engineering solutions.
• implement and optimize data ingestion, transformation and orchestration processes using Snowflake and leading cloud platforms (AWS/Azure/GCP).
• work with structured and unstructured data from multiple sources, ensuring high data quality, reliability and performance.
• support development of modern data platforms, including Data Warehouses, Data Lakes, Lakehouse and Data Mesh architectures.
• contribute to CI/CD processes, Infrastructure as a Code and automation of data workflows.
• participate in troubleshooting, performance tuning and optimization of existing data solutions.
• be involved in POC/POV initiatives and support innovation in data engineering practices and tools.
• contribute to the growth of Snowflake technology practice in AI & Data and share knowledge within the team.

Flexible: The work location for this role may include a mix of working remotely (most of the time), 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.

• A permanent employment contract
• Individual support of a People Lead and a clearly defined path of professional development, including the possibility of a session with a Coach
• A comprehensive training package, including: soft skills, technical and language training, access to e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses and certifications
• Employee Assistance Program offering legal, financial and psychological consultations
• Employee Share Purchase Plan – employees who own company shares are automatically eligible for quarterly dividends
• Paid employee referral program
• Private medical care and life insurance
• Access to the Worksmile benefits platform (including the Multisport card)

• A desire to develop competencies in cloud technologies and modern data engineering tools.
• Strong problem-solving skills and ability to work effectively in a team environment.
• Familiarity with data modeling basics, performance optimization and data loading topics.
• Familiarity with Snowflake technology or willingness to learn.
• Experience with at least one cloud platform (AWS, Azure, or GCP).
• Practical knowledge of SQL and experience in building data pipelines.
• Experience with at least one programming language (Python preferred).
• Understanding of data engineering concepts (ETL/ELT, data warehousing, data lakes).
• Familiarity with workflow orchestration and pipeline tools.
• At least basic knowledge of data quality, data governance and data security principles.
• Ability to work with APIs and integrate data from multiple sources.
• Excellent command of spoken and written English (B2 level).

BONUS POINTS IF YOU HAVE

• Experience with tools such as DBT, Matillion, Airflow, or similar.
• Familiarity with Infrastructure as a Code (e.g., Terraform) and containerization (e.g. Docker, Kubernetes).
• Knowledge of streaming technologies (e.g. Kafka).
• Understanding of modern architectures (e.g. Data Mesh, Lakehouse).
• Experience working in Agile delivery models.
• Team management experience.
• Certification in Snowflake and/or other above mentioned technologies.