Senior Data Engineer with Databricks

EY GDS; Katowice; Híbrido; PLN 210.000 - 300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Continuous learning

Success as defined by you

Transformative leadership

Diverse and inclusive culture

Descripción de la vacante

EY GDS in Katowice is seeking a Senior Data Engineer with Databricks to join our global data platform team. You will design and implement scalable data pipelines and data warehouses across Azure, AWS, and GCP environments, collaborating with experts worldwide.

You should have at least 4 years in data engineering, hands-on Databricks experience, strong SQL and Python, and a solid cloud/data warehouse background. English fluency is required.

Formación

• At least 4 years of experience in data engineering, including 3 years with big data.
• Hands-on experience with Databricks
• Strong SQL and Python skills
• Solid background in data warehousing, data pipelines, distributed data processing, software engineering and data modeling
• Experience with structured, semi-structured and unstructured data
• Experience with at least one public cloud: Azure, AWS or GCP
• Strong design skills for relational databases and non-relational storage
• Good understanding of data marts, data warehouses, data lakes and data mesh
• Experience with Agile methods (Scrum, Kanban), DevOps and CI/CD principles
• Strong analytical and problem-solving skills in big data environments
• Very good English, spoken and written

Responsabilidades

• Design and build scalable data platforms that help our clients and business partners make better decisions
• Deliver robust solutions on Databricks and modern data warehouses
• Build and maintain reliable, well-tested data pipelines
• Model data for data marts, data warehouses and data lakes
• Make sure data solutions are high quality, performant and cost-efficient
• Apply DevOps and CI/CD practices to data solutions

Conocimientos

SQL

Python

Analytical thinking

English proficiency

Herramientas

Databricks

Cloud platforms (Azure, AWS, GCP)

Descripción del empleo

O projekcie

Location: Katowice, 2 days office/3 days remote

Senior Data Engineer with Databricks

The opportunity

We are looking for experienced data engineers who want to build modern data platforms for leading clients. You will work with the latest technologies, introduce new solutions and collaborate with top experts in their industries. As part of our global team, you will work on international projects, mostly built on the three major cloud providers: Azure, AWS and Google Cloud.

What we look for

You are the go-to person for anything data-related. You take ownership, stay calm under pressure and enjoy taking on hard problems.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across nine locations – Argentina, Hungary, India, the Philippines, Poland, Sri Lanka, Mexico, Spain and the United Kingdom – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About EY

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Wymagania

Skills and attributes for success

You enjoy solving complex business problems at scale

You work well in cross-functional teams across different domains

You communicate clearly with engineers, product and project managers, and partners around the world

You take ownership and share your knowledge with others

To qualify for the role, you must have

• At least 4 years of experience in data engineering, including 3 years with big data
• Hands-on experience with Databricks
• Strong SQL and Python skills
• Solid background in data warehousing, data pipelines, distributed data processing, software engineering and data modeling
• Experience with structured, semi-structured and unstructured data
• Experience with at least one public cloud: Azure, AWS or GCP
• Strong design skills for relational databases and non-relational storage
• Good understanding of data marts, data warehouses, data lakes and data mesh
• Experience with Agile methods (Scrum, Kanban), DevOps and CI/CD principles
• Strong analytical and problem-solving skills in big data environments
• Very good English, spoken and written

Ideally, you’ll also have

• Knowledge of data formats such as Parquet, ORC and Avro, and table formats such as Delta Lake, Apache Hudi or Apache Iceberg
• Experience with AI agents, such as building agentic workflows or using large language models (LLMs) in data solutions

Codzienne zadania

• Design and build scalable data platforms that help our clients and business partners make better decisions
• Deliver robust solutions on Databricks and modern data warehouses
• Build and maintain reliable, well-tested data pipelines
• Model data for data marts, data warehouses and data lakes
• Make sure data solutions are high quality, performant and cost-efficient
• Apply DevOps and CI/CD practices to data solutions

The exceptional EY experience. It’s yours to build.

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