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Data Engineer

Confidential client · Full-time

Overview

We are looking for an experienced Data Engineer to design, build, and optimize data pipelines and analytics tools that support business insights and operational efficiency. You will work with diverse data sources, cloud and on-premises systems, and collaborate with analytics and data science teams to deliver actionable data solutions.

Key Responsibilities

  • Gather, analyze, design, and implement requirements for reports, system integrations, business process automation, and data delivery optimization projects.
  • Create, maintain, and optimize data pipelines to extract data from cloud and on-premises sources and load it into a Data Lake.
  • Assemble large, complex data sets that meet functional business needs.
  • Adapt configurations to align with IT standards for efficient extraction, transformation, and loading of data from various sources.
  • Evaluate current data architecture and propose improvements.
  • Build analytics tools that leverage data pipelines to provide insights into customer acquisition, operational efficiency, and key business metrics.
  • Develop small data tools and applications to support analytics and data science teams in product and production environments.

Requirements

  • Minimum of 5 years professional experience as a Data Engineer.
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field.
  • Advanced SQL skills and experience with relational databases and query authoring.
  • Experience building and optimizing big-data pipelines, architectures, and data sets.
  • Proficiency with SQL and NoSQL databases, ETL tools (e.g., Apache Camel, TimeXtender, Data Factory), and file formats such as Parquet, JSON, CSV, and XML.
  • Programming experience with DAX, PowerShell, Python, Java, or C++.
  • Experience with Azure data components and Databricks.
  • Strong analytical skills for working with unstructured data sets.
  • Knowledge of message queuing, stream processing, and scalable big-data stores.
  • Experience with Agile methodologies and Azure DevOps Platform.
  • Project management, technical leadership, and organizational skills.
  • Excellent written and spoken English; German language skills are a plus.

Nice to Have

  • Experience with machine learning and artificial intelligence.
  • Knowledge of SAP systems.
  • Azure data-related certifications.
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