Senior Data Engineer
Ernst and Young2 months ago
Katowice, PolandSenior
Responsibilities
- Build data platforms that enable efficient decision-making for clients and business partners.
- Design robust solutions using Databricks, data warehousing technologies, and modern data engines.
- Develop and work with data pipelines, distributed data processing, data models, data warehouses, data lakes, data marts, and data mesh architectures.
- Solve complex business problems at scale and participate in cross-functional initiatives.
- Collaborate with engineers, product and project managers, and international business partners.
- Work with structured, semi-structured, and unstructured data across public cloud environments.
Requirements
- At least 4 years of experience in data engineering.
- At least 3 years of experience in big data.
- Proficiency in SQL and Python.
- Background in data warehousing, data pipelines, distributed data processing, software engineering components, and data modeling.
- Experience with at least one public cloud provider: Azure, AWS, or GCP.
- Strong experience designing relational databases and non-relational storage.
- Strong experience with data marts, data warehouses, data lakes, and data mesh concepts.
- Analytical problem-solving skills applicable to big data environments.
- Very good written and verbal English.
- Experience with Agile methodologies, DevOps, and CI/CD principles.
- Ideally, hands-on Databricks experience and knowledge of Parquet, ORC, Avro, Delta Lake, Apache Hudi, or Iceberg.
- Ideally, experience with Docker and Kubernetes.
Benefits
- Hybrid work arrangement in Katowice: 2 days in the office and 3 days remote.
- Continuous learning and opportunities to develop new skills and insights.
- Tools and flexibility to make a meaningful impact.
- Transformative leadership, coaching, and development support.
- Diverse and inclusive global culture.
- Opportunity to work on international projects with well-known global brands and teams across EY's worldwide delivery network.
Tech Stack
Amazon RedshiftAWSAzureDatabricksDockerGoogle BigQueryGoogle Cloud PlatformKubernetesPythonSnowflakeSQL
Categories
Data Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.