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Lead Data Engineer – Remote

Date 07/02/21
Location Remote

Our Client is an international company that helps various corporations in deciding about their supply chain. Having few sites worldwide and cooperating with well-known global brands, the company cares about sustainability and cybersecurity.

Your role:

  • Provide the direction of our data engineering and architecture – determine the right tools for the right jobs
  • Create cost-effective data warehouse solutions with data that is modeled to suit our users’ needs
  • Contributing to the recruitment of Data Engineering technical skills
  • Mentor and provide input to team members to execute on the team’s vision, design and execute projects from start-to-finish, inform technical direction, and support reporting of accomplishments
  • Plan and build the platform where all data is being collected from internal and external data sources, organized, and analyzed
  • Create, maintain and monitor pipelines for regular data ingestion, processing while ensuring the scalability, security, stability and availability of the platform’s data
  • Integrate, clean and prepare the data for analysis based on guidance from data modelers and data analysts and scientists
  • Collaborate with data science and business stakeholders to address data issues and support their needs

Requirements:

  • Bachelor’s degree or higher in Computer Science Engineering / Information Technology, Information Systems
  • Proven, hands-on experience in building and leading a data engineering team
  • 5+ years of experience in developing and maintaining data ingestion, data processing and analytical pipelines for structured and unstructured and streaming data, relational databases, NoSQL, data lake solutions
  • 2+ years experience with ideally Microsoft Cloud Data Platform: Azure Data Factory, Azure Databricks, Azure Synapse (we accept an experience in a corresponding products and solutions provided by other public cloud providers, like AWS, GCP)
  • Expertise with SQL, database design/structures, ETL/ELT design patterns, and DataMart structures
  • Experience in Azure Data Factory (ADF)
  • Experience in Azure storage solution, particularly Azure Data Lake Storage
  • Experience in the creation & configuration of Azure resources & RBAC
  • Strong interpersonal, communication, organization and planning skills
  • Advanced skills in strategic planning, analytical and holistic problem-solving, project management, effective communication and coordination.
  • Azure Data Engineer certification would be a plus
  • Fluent English

Offer:

  • Long term cooperation based on a permanent employment or B2B contract
  • Attractive salary + annual bonus
  • Partially remote work (40%)
  • Flexible working hours
  • Benefits like: medical health care, life insurance, sport card, training budgets
  • Cooperation with other world sites (United States, United Kingdom, France, Germany, Canada, Tunisia, Mauritius, Japan, Australia and Spain)
  • Work with ambitious and experienced IT colleagues
  • Possibilities to take part in various IT events and meetups

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