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  • All offersSzczecinDataSenior Data Engineer
    Senior Data Engineer
    Data
    DataRiseLab Sp. z o.o.

    Senior Data Engineer

    DataRiseLab Sp. z o.o.
    Szczecin
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Microsoft Azure Data

      advanced

      T-SQL

      advanced

      Data

      advanced

      Azure

      advanced

      SQL

      advanced

      Azure DevOps

      advanced

      Python

      nice to have

      Scala

      nice to have

    Job description

    Online interview

    ABOUT US

    We are an IT Company offering our Clients with a comprehensive support in development and maintenance of data management solutions (data warehouses, data integration, BI reporting, Big Data), defining data and information management strategies in the organization, creating advanced data analytics solutions as well as cloud solutions and business applications. We specialize in delivery of solutions based on Microsoft and IBM technologies for clients from Poland and other European countries.


    JOB OFFERING

    We are looking for a Senior Data Engineer who will be responsible for creation, development and management of processes for data transformation and integration with use of Azure stack (Data Factory, ASQL and Synapse Analytics, Data Bricks). Data Engineer will also work on monitoring, process analysis, performance tuning and cost optimization for new and existing solutions. 

    In this role, you will work closely with cross-functional teams, including developers, architects, business analysts, testers and stakeholders to ensure the successful delivery of various IT projects. 

    If you are passionate about Data, know Data Lakes, Data Warehousing and maybe also Lake Houses, if you are looking for an exciting opportunity to grow and develop your career, we encourage you to apply for this position.


    RESPONSIBILITIES


    • Creation, configuration, implementation and integration of Data Lakes, Data Warehouse or Lake House solutions with use of Azure technologies (Azure Data Factory, Azure SQL and Synapse Analytics, Data Bricks)
    • Data processing and transformation of large datasets 
    • Designing and implementing data pipelines, data models and data integration solutions
    • Performance tuning and cost optimization
    • Building ELT and ETL processes
    • Collecting and monitoring performance metrics, tuning performance of processes 
    • Identifying ways of improving the data quality and efficiency
    • Refactoring code for currently existing solutions
    • Proposing solution architecture based on cloud solutions
    • Partnering with BI teams to define the best approach around data ingestion and data structures 


    REQUIREMENTS


    Experience:

    • 4+ years of experience in Data Engineering
    • Experience in Microsoft Azure Data ecosystem (i.e. Azure Data Factory, Azure SQL and Synapse Analytics, Data Bricks)
    • Experience with data modelling and data integration
    • Knowledge in SQL (T-SQL or any other)
    • Problem-solving, analytical and critical thinking skills
    • Experience with Agile and Scrum methodologies
    • Azure DevOps experience (Repos, Pipelines)
    • Good command of both written and spoken English (B2 level)


    Nice to have:

    • Experience in Python or Scala programming 


    BENEFITS


    • B2B contract
    • Remote work and flexible working hours
    • Healthcare, Multisport benefit, Trainings, Industry Events
    • Direct collaboration with Founders and other, experienced team members


    👉 If you think you are a perfect match, please send your CV to us!