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  • Data Engineer
    New
    Data

    Data Engineer

    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      CI/CD

      master

      PySpark

      master

      SQL

      master

      Python

      master

      Cloud Solutions

      advanced

      Java

      advanced

      Scala

      advanced

      Apache Spark

      advanced

      Docker

      regular

      API

      regular

    Job description

    Online interview

    As you probably know, there is a lot going on at InPost! The main core of our business are Parcel Locker devices, which we have been manufacturing and designing in-house for years. In addition, we are constantly developing our portfolio of services and introducing new solutions, such as InPost Fresh, Fulfillment or InPost Pay, making life easier for millions of our customers.


    We want to benefit from diverse cooperation as much as possible. For us, diversity means that our employees and management reflect different genders, nationalities, cultures, generations, ethnicities, skills and social backgrounds. Through fairness, we want to develop the full potential of our talents and ensure that everyone has the same opportunities. Social inclusion is a complementary requirement to ensure that everyone feels seen and heard.


    In the Data & AI area, we make all decisions based on data. We build and develop ML/AI looking for innovative solutions that will be implemented based on cloud solutions. If you like to experiment, work in a dynamic and developing team, join us and become one of our heroes!


    Your responsibilities

    • Building a platform for processing large amounts of data
    • Building streaming solutions
    • Construction and maintenance of data lake solutions, NoSQL databases
    • Building CI/CD solutions, test automation
    • Designing and maintaining ETL/ELT
    • Applying good practices, code building and versioning, code peer review
    • Monitoring and optimizing the performance of your data infrastructure and ETL processes
    • Work in squads focusing on delivering data products


    Our requirements

    • 3 years of experience in a similar position
    • Experience in building solutions based on Apache Spark (Streaming, ML, SQL), Apache Kafka (Streams, Connect), Databricks technologies (PySpark, Scala)
    • Knowledge and experience in building SQL and NoSQL databases
    • Knowledge of cloud solutions (GCP, Azure, AWS)
    • Experience in implementing streaming solutions
    • Experience in integrating data with API (REST, SOAP)
    • Experience in maintaining warehouse and data lake environments
    • Knowledge of CI/CD tools, configuration management, automated testing (Gitlab, Jenkins, etc.)
    • Knowledge and experience in building solutions in Python, Scala, Java programming languages
    • Willingness to share knowledge and promote best practices within the data community
    • Knowledge and ability to build Docker containers
    • Experience of working in an international environment
    • English and Polish (Professional Working Proficiency)


    What we offer

    • You choose mode of working: Most of the time you work remotely or, if you choose, at your desk in our new office in Kraków or Warsaw. The exceptions are occasional travel to Europe (France, UK)
    • Options for further career growth are many & real (once you prove yourself)
    • B2B contract
    • Clear and honest communication within the team of similar background
    • Benefits cafeteria platform (note: medical/sport subscriptions are partially subsidized by InPost, you spend some of benefits budget if you order them)


    Undisclosed Salary

    B2B

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