Data Engineer (PySpark)

We are looking for a Data Engineer to join our team and help us execute our ambitious vision. As a Data Engineer Developer, you will take part in the design and implementation of large-scale data processing systems and provide strategic insights that drive business success. You will collaborate with cross-functional teams to deliver robust and efficient data solutions.

This role offers a hybrid model, with 3 days per week working from the client's office in Wroclaw (with a flexible number of hours in the office).

Responsibilities

• Design scalable and resilient data architectures on Azure, leveraging services like Azure Data Lake Storage, Azure SQL Database, and Azure Data Factory
• Evaluate and implement new tools and technologies to enhance data processing capabilities
• Lead the development and optimization of complex data pipelines using PySpark and Azure Databricks
• Provide technical guidance and mentorship to junior developers, ensuring best practices and high-quality code
• Identify and drive opportunities for process improvement and automation
• Stay abreast of industry trends and emerging technologies to ensure the organization remains competitive in big data and cloud solutions
• Solve complex data challenges using innovative approaches and critical thinking
• Collaborate with business stakeholders, data scientists, and engineers to understand strategic goals and deliver data-driven solutions

• We gather like-minded people: Engineering community of industry professionals, Friendly team and enjoyable working environment, Flexible schedule and opportunity to work remotely within Poland, Chance to work abroad for up to 60 days annually, Relocation within our 50+ offices
• We provide growth opportunities: Outstanding career roadmap, Leadership development, career advising, soft skills, and well-being programs, Certification (GCP, Azure, AWS), Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru, Language classes in English and Polish for foreigners
• We cover it all: Stable income (Employment Contract or B2B), Participation in the Employee Stock Purchase Plan, Benefits package (health insurance, multisport, shopping vouchers), Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more, Referral bonuses, Corporate, social and well-being events

Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

• At least 2 years of experience in big data processing and cloud technologies
• Hands on experience with PySpark, Python, and SQL
• Experience with Azure cloud services, including Azure Databricks, Data Lake, and Azure Data Factory would be beneficial
• Excellent communication and interpersonal skills, with the ability to influence and drive change