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Data Engineer

ID: #4860

required skills: Microsoft Azure, CI/CD, SQL, Python, Data Warehousing DWH

type of employment: Contract

consultant: Ewa Bienko

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location: remote

We are looking for: Data Engineer

General info: 

  • Location: 100% remote
  • Start: ASAP
  • Duration: long term 
  • General info: contract, full-time
  • Rate: 140 - 165 PLN/h

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines.
  • Integrate data from multiple sources, including ERP systems, fund administration platforms, SharePoint, APIs, and flat files.
  • Build and optimize data models for analytics and reporting.
  • Implement reconciliation, validation, and data quality processes to ensure accurate and reliable data.
  • Develop dashboards and support self-service reporting solutions.
  • Collaborate with business stakeholders to understand data sources, resolve discrepancies, and translate business requirements into technical solutions.
  • Contribute to data architecture decisions and promote reusable integration and data engineering best practices.
  • Ensure data security, compliance, and governance standards are followed.
  • Mentor junior team members and support knowledge sharing within the team.

Requirements:

  • At least 4 years of experience as a Data Engineer or in a similar role.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
  • Strong experience with SQL, Python, and PySpark.
  • Hands-on experience with Snowflake and/or Databricks.
  • Experience designing and developing ETL/ELT pipelines.
  • Experience integrating data from ERP systems, fund administration systems, SharePoint, APIs, and flat files.
  • Strong understanding of data modeling, dimensional modeling, and query/performance optimization.
  • Experience implementing data reconciliation, validation, and data quality frameworks.
  • Familiarity with Sigma or other BI tools such as Power BI or Tableau.
  • Knowledge of data anonymization, security, compliance, and governance best practices.
  • Understanding of AI/GenAI data workflows, including preparing high-quality data for LLM-based solutions and applying responsible AI principles.
  • Excellent communication skills and the ability to collaborate with both technical and non-technical stakeholders.

Sounds interesting? Contact me: 

  • ewa.bienko@awareson.com
  • +48 539 604 017
apply

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