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Data Engineer PowerBI



As a Data Engineer, you will be in charge of:

  • Designing solutions following architecture guidelines
  • Contributing to data engineering-related developments: development activities consist in building and maintaining efficient, reusable, and reliable solutions, as per high standard of software quality, design and testing principles while delivering solutions on-time and on-budget
  • Supporting continuous improvement of the services and applications. Identifying bottlenecks and bugs, and defining solutions to these problems
  • Delivering production ready services to users with the highest level of satisfaction
  • Writing and updating technical documentations in English and making them available to the team and partners.
  • Providing effective and timely communication to all relevant teams



You must have extensive experience of 3 years minimum in addition to excellent analytical skills, accuracy, and good listening and communication skills.

You must have extensive experience in the activities outlined below in addition to:

  • Ability to collect information focusing on the Why.
  • Ability to solve problems creatively and effectively
  • Be open to receiving objective criticism and improving upon it.
  • Fluent in English and French.
  • Familiar with reliability engineering approaches (Dev/Sec/Ops, SRE, etc.) for regularly ingested data workloads


Skills required

  • Knowledge of data management, data engineering, and data governance
  • Knowledge of data architecture, data security, protection, and privacy
  • Proficient with SQL (DDL and DML)
  • Experience building data pipelines and data processing systems
  • Knowledge of data lake, database, and/or data warehouse architectures for analytical workloads (e.g. OLAP)
  • Strong understanding of design principles, algorithms, data structures, and software engineering best practices
  • Experience with modern data warehousing solutions such as Snowflake, RedShift, Databricks

Nice to have

  • Strong problem solving and analytical skills
  • Proficient in Python and/or other modern languages used for batch data processing
  • Experience with data ingestion, transformations (ETL/ELT), data modeling, data analysis and data mining
  • NoSQL experience
  • Familiarity with DevOps concepts, CI/CD pipelines, and orchestrating/scheduling/maintaining data workflows (e.g. developed and/or monitored with Apache Airflow)
  • Experience building data visualizations (data dashboards e.g. with PowerBI) and producing data-driven reports
  • Experience supporting BI analytical and/or data science workloads in production

Additional Information

2 days on-side (hybrid)

Start ASAP

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