Senior Data Engineer – Databricks

Senior Data Engineer at EY GDS Poland responsible for building data platforms using Databricks and managing data solutions. Collaborating with global teams and solving complex business problems using advanced technology.

Posted 7/23/2026full-timeWrocław • 🇵🇱 PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering with a strong focus on building data platforms using Databricks and modern data warehousing solutions. Proficient in SQL, Python, and cloud environments, with a solid understanding of data modeling, data pipelines, and analytical problem-solving in big data contexts.

Highest-signal resume keywords

Data EngineeringDatabricksSQLPythonBig Data

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingData PipelinesDistributed Data ProcessingData ModelingRelational DatabasesNon-Relational StorageData MartsData LakesData MeshAnalytical Problem-Solving

Soft Skills

CollaborationAnalytical ThinkingCommunication

Tools & Technologies

AzureAWSGCPDockerKubernetesAgile MethodologiesCI/CDDevOpsParquetORC

Industry Keywords

Big Data EnvironmentData FormatsDeltalakeApache HudiIceberg

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

You are responsible for building data platforms that enable our clients and business partners to make efficient decisions with ease.
You design robust solutions on state-of-the-art data engines such as Databricks, and modern data warehousing solutions (Synapse, BigQuery, Redshift or Snowflake).
Solving complex business problems on a large scale.
Participating in cross-functional initiatives and collaborating across various domains.
Interacting with engineers, product/project managers, and partners from all over the world.

Requirements

What you’ll need

4 years of experience in Data Engineering area
Hands-on experience in Databricks
3 years of experience in Big Data
Proficient in SQL and Python
Background in data warehousing, data pipelines, distributed data processing, software engineering components and data modeling concepts
Analytical problem-solving skills, particularly those that apply to a big data environment
Experience in working with structured, semi-structured and unstructured data
Experience in at least one public cloud (Azure, AWS or GCP)
Strong Experience in design techniques of relational databases and non-relational storage
Strong Experience with concepts such as Data Marts, Data Warehouses, Data Lakes , Data Mesh
Very good English (verbal and written)
Experience in using Agile methodologies (Scrum, Kanban, etc.), DevOps and CI/CD principals
Ideally, knowledge of data formats: Parquet, ORC, Avro, as well as emerging concepts like Deltalake/Apache Hudi/Iceberg
Experience with Containerization: Docker, Kubernetes, DevOps principals.

Benefits

Comp & perks

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.