Data Engineer – AI-Accelerated Development (Snowflake, Airflow, Python)

At the AI&Data, we work locally and globally with over 200 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.

THE WORK:

• Design, build, and operate scalable ELT/ETL pipelines using data from APIs, databases, event streams, and third-party systems
• Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting
• Build and optimize data models in Snowflake and Databricks that power analytics, reporting, and AI applications
• Improve data quality through validation, testing, monitoring, and lineage
• Investigate production incidents, perform root-cause analysis, and implement long-term fixes
• Collaborate with analytics engineers, data scientists, product teams, and software engineers
• Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews)
• Leverage AI coding tools (e.g., GitHub Copilot, Codex, Cursor) to accelerate development while maintaining quality

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)

• Strong SQL skills (complex queries, CTEs, window functions, performance optimization)
• Experience with Python for data engineering and automation
• Experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, Synapse)
• Experience building pipelines using Apache Airflow or similar orchestration tools
• Experience operating production data systems with focus on reliability and maintainability
• Experience using Git and collaborative software engineering practices
• Strong ownership mindset and ability to work in fast-changing environments
• Effective communication with technical and business stakeholders
• Experience using AI coding assistants and ability to critically review generated code

BONUS POINTS IF YOU HAVE:

• Experience with Databricks, Apache Spark, or Delta Lake
• Familiarity with DBT, Kafka, Kinesis, or other streaming technologies
• Experience with Terraform, Infrastructure as Code, or CI/CD pipelines
• Experience building AI or ML data pipelines

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 not meeting every requirement, we wholeheartedly encourage you to submit your application