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Senior Data Engineer

  • job type Full Time

Our client is recruiting a Senior Data Engineer to work closely with the Data Engineering Manager in creating and enhancing data ingestion pipelines, addressing big data challenges and building business-critical products using a variety of cutting-edge tools. In addition to being responsible for selecting the data technologies adopted, the architecture, and the development of the data pipelines across the ecosystem, you will also be tasked with:

  • Owning the data technology stack, its design, development and operation throughout.
  • Leading the implementation process of the data platforms to be adopted by the business.
  • Carrying out assessments to maintain the quality and keep the technology up to date across industry standards.
  • Developing automated data pipelines required from the broad operational systems into the data warehouse.
  • Developing a sound data architectural model to support the growth strategy of the business.
  • Maintaining data-related documentation and proactively providing knowledge sharing sessions internally
  • Using data analytics platforms, help develop reports and real-time dashboards required to understand the performance of the various insights and forecasts.
  • Continuous review of data pipelines to maintain the highest level of data quality.
  • Supporting any data-related queries and investigating any data quality issues
  • Participating in brainstorming meetings to discuss existing issues and new ideas.
  • Working on Proof of Concept for selected technologies that are yet to be adopted.

Educations & Skills

  • Bachelor's Degree in Computer Science or a relevant field
  • Minimum 3+ years of hands-on experience as a Data Engineer.
  • Experience in the selection and implementation of new data platforms.
  • Extensive experience in using cloud-based data warehouse, ETL, integration, visualization tools and data modelling.
  • Comfortable working within an agile delivery framework.
  • Thorough knowledge of Scala, Python, or Java.
  • Familiarity with Orchestration tools such as Talend and Airflow.
  • Cloud computing experience on AWS, Microsoft Azure, or GCP.
  • Preferably has experience with SQL, SSIS, Power BI, Azure technologies (Azure SQL, Azure Data Factory, Data Lake, Databrick).
  • Stream data processing experience with technologies like Kinesis Streams, Pulsar, Kafka, Apache Nifi, Flink and Spark.
  • Experience with ELK Stack or similar technologies
  • Comfortable working in a fast-paced environment whilst interacting with a variety of different disciplines
  • Proven ability to prioritize and deal with problems systematically and provide clear communications regarding the issues, resolution times and solutions

Job Summary


  • Job Reference: 4842/22
  • Published on: May 28, 2022
  • Primary Job Focus: Information Technology
  • Employment Type: Full Time
  • Experience: Experienced
  • Status: Searching
  • Salary: € - €37000
  • Application Deadline: September 30, 2022

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