Senior Data Engineer: Cloud Data Pipelines & Analytics

Vention

Wrocław

On-site

PLN 210,970 - 295,358

Full time

14 days+

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Benefits offered by this job

Private medical care with LuxMed
Kafeteria MyBenefit credits
Access to a Multisport membership
Glasses reimbursement program
Referral bonuses

Job summary

A global engineering partner is looking for a Senior Data Engineer in Wrocław, Poland. This role involves building and maintaining scalable ETL/ELT pipelines and integrating diverse datasets. Candidates should have over 4 years of experience in Data Engineering, strong proficiency in Python and SQL, and familiarity with cloud platforms like AWS, Azure, or GCP. The position offers various perks, including private medical care and AI tools licenses, in a dynamic environment.

Qualifications

  • 4+ years of experience in Data Engineering.
  • Strong experience with Python and SQL.
  • Solid knowledge of Spark/PySpark for distributed data processing.
  • Hands-on experience with cloud platforms AWS/Azure/GCP.
  • Experience with modern data architectures such as Data Lake and Delta Lake.
  • Infrastructure knowledge (Kubernetes, Terraform) would be a plus.
  • Experience working in an Agile environment.
  • B2+ English, with experience communicating with English-speaking customers.

Responsibilities

  • Build, optimize, and maintain scalable ETL/ELT pipelines.
  • Integrate and manage diverse datasets for analytics.
  • Design and maintain high-performance data architectures.
  • Collaborate to translate business requirements into data solutions.
  • Analyze data and create dashboards to support decision-making.
  • Stay up-to-date with cloud data technologies.

Skills

Data Engineering
Python
SQL
Spark/PySpark
AWS
Azure
GCP
Kubernetes
Terraform
English B2+

Job description

A global engineering partner is looking for a Senior Data Engineer in Wrocław, Poland. This role involves building and maintaining scalable ETL/ELT pipelines and integrating diverse datasets. Candidates should have over 4 years of experience in Data Engineering, strong proficiency in Python and SQL, and familiarity with cloud platforms like AWS, Azure, or GCP. The position offers various perks, including private medical care and AI tools licenses, in a dynamic environment.
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