Data Engineer

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Seniority Levels

Mid level

Job function

Engineer

What you will be doing:

  • Create and maintain data pipeline architecture;
  • Assemble large, complex data sets that meet functional / non-functional business requirements;
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies;
  • Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics;
  • Manage the data architecture for data ingestion, pipeline setup and data curation;
  • Manipulate data at scale: getting data in a ready-to-use state in close alignment with various business and Spoke stakeholders.

What you will bring::

  • Bachelor’s degree in Computer Engineering or other similar area;
  • Previous experience working as Data Engineer;
  • Strong experience in building and optimizing ‘big data’ data pipelines, architectures, and data sets;
  • Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management;
  • Strong knowledge of AWS IaC and IaaS services;
  • Programming with functional programing and object-oriented script languages (e.g., Scala, Python, Java);
  • Great English skills (both written and spoken);
  • Good communication skills and teamwork.

Nice to have:

  • Experience with big data tools and distributed clusters such as Hadoop, Spark, Kafka, Kinesis;
  • Experience with data pipeline and workflow management tools such as Azkaban, Luigi, Airflow, Glue Workflow.

Benefits & Perks:

This is a true opportunity to join an amazing atmosphere on our local company culture build up, with the support of a solid international group, and to be part of an Agile environment where you can learn, share, and interact in a place where your ideas are valued and you have a voice.

  • Flexible working hours
  • Remote friendly model adapted to each team’s needs and preferences
  • Continuous learning with access to Udemy
  • Wellbeing program extendable to your household
  • Health insurance extendable to your household
  • Life insurance
  • Opportunity to join the company’s pension fund
  • Home Office Setup to build your dream home office
  • Home allowance, to receive in your payslip or use in our flexible benefits platform (e.g. internet/data expenses, public transports card)
  • Smartphone + Telecom with voice & data plan
  • Discounts on VW Group cars and special conditions on financing
  • Relocation package (if applicable) & Visa process sponsorship

Unsure if you meet all these requirements? Please apply anyway! We would love to hear from you!

Apply now

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