Data Engineer: Build Scalable Pipelines & Analytics

KIS Solutions

Poland

Remote

PLN 260,000 - 371,000

Full time

14 days+
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Job summary

KIS Solutions is seeking Data Engineers (Junior, Mid or Senior) to join our team and work on innovative projects for global clients. Sign up for our Talent Pool to stay in consideration for future opportunities.

Join a team that designs, builds, and operates end-to-end data pipelines, ETL/ELT workflows, and scalable data models. You will write production-grade SQL, develop modular Python, and collaborate with analysts and engineers to ensure data availability and quality.

Qualifications

  • Experience building production data pipelines.
  • Strong SQL and query performance optimization.
  • Python for data transformations with modular design.
  • Experience with cloud data platforms (Azure, Databricks).
  • Familiarity with data models for analytics.
  • Experience with containers or Kubernetes.

Responsibilities

  • Design, build and maintain end-to-end data pipelines.
  • Develop and operate ETL/ELT workflows for reliability and scale.
  • Write production-grade SQL for analytics use cases.
  • Model data for analytics and reporting (star schemas, incremental models).
  • Develop reusable Python code for pipelines.
  • Monitor and troubleshoot data pipelines and data quality.
  • Collaborate with analysts and engineers to define data contracts.
  • Plan, estimate, and prioritize data engineering tasks.
  • Identify risks and propose mitigations; improve data platforms.
  • Document pipelines, schemas and data lineage.

Skills

SQL optimization
Python for data eng
Data modeling
Data orchestration
Cloud data platforms
ETL/ELT design

Tools

Azure
Databricks
Kubernetes
Airflow
Git
Parquet/ORC

Job description

KIS Solutions is seeking Data Engineers (Junior, Mid or Senior) to join our team and work on innovative projects for global clients. Sign up for our Talent Pool to stay in consideration for future opportunities.

Join a team that designs, builds, and operates end-to-end data pipelines, ETL/ELT workflows, and scalable data models. You will write production-grade SQL, develop modular Python, and collaborate with analysts and engineers to ensure data availability and quality.

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