Senior Data Engineer

Senior Data Engineer building data platforms at EY GDS Poland. Collaborating on international projects using major cloud providers like Azure, GCP, and AWS.

Posted 7/24/2026full-timeKatowice • 🇵🇱 PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering, focusing on building data platforms and designing robust solutions using modern data warehousing technologies. Proficient in SQL, Python, and cloud environments, with strong analytical problem-solving skills in big data contexts.

Highest-signal resume keywords

Data EngineeringBig DataSQLPythonData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData PipelinesDistributed Data ProcessingRelational DatabasesNon-Relational StorageData MartsData LakesData MeshAnalytical Problem-SolvingCloud Experience

Soft Skills

Analytical Problem-SolvingCommunication

Tools & Technologies

DatabricksAzureAWSGCPDockerKubernetesAgile MethodologiesCI/CD

Industry Keywords

Data FormatsParquetORCAvroDeltalakeApache HudiIceberg

Tech Stack

Tools & technologies

Amazon RedshiftApacheAWSAzureBigQueryCloudDockerGoogle Cloud PlatformKubernetesPythonSQL

About the role

Key responsibilities & impact

Responsible for building data platforms that enable our clients and business partners to make efficient decisions with ease.
Design robust solutions on state-of-the-art data engines such as Databricks, and modern data warehousing solutions (Synapse, BigQuery, Redshift or Snowflake).

Requirements

What you’ll need

4 years of experience in Data Engineering area
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, you’ll also have Hands-on experience in Databricks
Knowledge of data formats: Parquet, ORC, Avro, as well as emerging concepts like Deltalake/Apache Hudi/Iceberg
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.