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Data Engineer
New
Data

Data Engineer

32 - 37 USD/hNet per hour - B2B
32 - 37 USD/hNet per hour - B2B
Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote

Tech stack

    Polish

    C1

    English

    C1

    Bash

    regular

    ETL/ELT

    regular

    Azure Data Factory

    regular

    Databricks

    regular

    SQL

    regular

    Python

    regular

Job description

Online interview

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:


Data Engineer



Responsibilities:


  1. Develop, optimize & maintain big data (ELT/ETL) pipelines for purposes of business intelligence and statistical modelling
  2. Ensure & monitor data quality and integrity
  3. Set up and configure data storage systems (e.g. SQL databases, data lake)
  4. Manage and support production use of connections between key elements of data infrastructure
  5. Write and maintain secure, robust, scalable, and efficient code that turns business concepts into tangible solutions
  6. Drive engineering best practices like automation, CI/CD, and maintainability
  7. Support standardization and automation by following best-practices / common development standards
  8. Collaborate with BI analysts, data scientists, ML engineers and core IT in cross-functional teams delivering value through data solutions


Requirements:


  1. Broad skills in Python, SQL, MDX and bash scripting
  2. 2+ years of hands-on experience within Azure data components (Data Factory, Synapse, Datalake, Blob Storage, Sharepoint, Databricks)
  3. Experience with data workflow orchestration (ADF, Databricks Jobs, possibly Airflow)
  4. Good command of version control and CI/CD pipelines using Azure DevOps or alike
  5. Experience with Snowflake and its use with Azure cloud
  6. Business-ready English (B2-C1)
  7. Familiarity with data governance concepts (e.g., catalogue & meta data, data lineage, master data, security & compliance)


Nice to have:

  1. Familiarity with SAP Business Warehouse as a data source
  2. Azure Data Engineer / Data Analytics certificate
  3. Understanding of BI tools, eg. Power BI
  4. Experience with PySpark / Scala


Offer:


  1. Private medical care
  2. Co-financing for the sport card
  3. Training & learning opportunities
  4. Constant support of dedicated consultant
  5. Employee referral program
32 - 37 USD/h

Net per hour - B2B