Consultant Data Engineering (en)

2020-08-11

The data engineer, also known as Business Intelligence Developer, Data Logistician, ETL Developer and Data Warehouse Developer, is a specialist in the technical design, development, integration and implementation of information assets such as Business Intelligence and Data Warehouse solutions. The realization takes place in existing as well as in new build environments. Top Down analyzes the data engineer’s information needs and system requirements as the basis for technical designs and knowledge models. Bottom Up analyzes the data engineer information flows, processes, procedures and source data. After the analysis, the data engineer programs data flows that result in Data Lakes and Data Hubs for Data Discovery and integrated multidimensional data models for targeted data analysis. Consuming customers are the intelligence analysts, data scientists and other information users in the organization.

Requested Personality

The data engineer is a forward-thinking person who links his IT, data logistic and data visualization skills to business affinity. The data engineer would like to use his skills in a “practice-driven” big data setting, so that he or she can actually see the effects of his output. Although the data engineer likes to “immerse” himself in extensive databases and data visualisations, he or she also likes to explore together with stakeholders how data can be used even more effectively and efficiently to achieve more value for the organization.

Requested Soft Skills

  • Excellent communication skills;
  • Entrepreneurship and initiative;
  • Team Player and accessible;
  • Sharing knowledge;
  • Always continuous next;
  • Organization Aware;
  • Commercially Aware.

Requested Technical Skills (some of them)

  • In-depth knowledge of Databases, Data Transformations and Data Visualizations;
  • Knowledge of or experience with one or more programming languages ​​such as XQUERY, SPARQL, JAVASCRIPT, SQL, SAS Base and MDX;
  • Knowledge of modeling of data models such as Data Vault, Star modeling, third normal form modeling, Tripple Stores and Operational Data Hubs;
  • Knowledge of Ontology Based Searching and Text Semantics;
  • Knowledge of or experience with one or more software applications of SQL databases such as SQL Server, Oracle, Exasol, Snowflake and PostgresQL, of NoSQL databases such as MongoDB, MarkLogic and Apache Spark, of Hadoop Ecosystems such as Horton Works and Cloudera, of ETL tooling such as Informatica, SSIS, BO Data Services, Data Bricks, Jitterbit, MuleSoft and Pentaho Data Integrator, from BI Front-end tools such as SAP Business Objects, Cognos, Birst, Microsoft PowerBI, Tableau, Yellowfin, Spotfire and SAS VA, from Modeling tools such as Power Designer etc.

Requested Other Skills

  • At least a Bachelor in Computer Science, Business Informatics, Artificial Intelligence or similar;
  • Analytical skills, attention to details, result-oriented, enthusiastic, practical, independent and good communication skills;
  • Speak and write at least English and Dutch;
  • Continuous learning;
  • Willingness to travel;
  • Mindset can work 40-50 hours a week;
  • Be there when shit hits the fan;
  • Relax when possible.

What does Bravinci Offer

  • An indefinite contract with 25 vacation days;
  • High above market salary depending on your active consulting performance;
  • A passive addition to your active salary based on Bravinci performance outside the consulting unit;
  • A very transparent and informal culture, with a shared love for data dynamics;
  • All benefits that are important to you like:
    • Any type of mobility;
    • Pension accrual options.

Let's meet!

If you are interested in this vacancy, please send your CV to info@bravinci.com stating "Application" and be invited to an introductory meeting. You can personally visit us while doing the motivation for this position.

  • Max. file size: 50 MB.

Other vacancies

The data engineer, also known as Business Intelligence Developer, Data Logistician, ETL Developer and Data Warehouse Developer, is a specialist in the technical design, development, integration and implementation of information assets such as Business Intelligence and Data Warehouse solutions. The realization takes place in existing as well as in new build environments. Top Down analyzes the data engineer's information needs and system requirements as the basis for technical designs and knowledge models. Bottom Up analyzes the data engineer information flows, processes, procedures and source data. After the analysis, the data engineer programs data flows that result in Data Lakes and Data Hubs for Data Discovery and integrated multidimensional data models for targeted data analysis. Consuming customers are the intelligence analysts, data scientists and other information users in the organization.

Requested Personality

The data engineer is a forward-thinking person who links his IT, data logistic and data visualization skills to business affinity. The data engineer would like to use his skills in a "practice-driven" big data setting, so that he or she can actually see the effects of his output. Although the data engineer likes to "immerse" himself in extensive databases and data visualisations, he or she also likes to explore together with stakeholders how data can be used even more effectively and efficiently to achieve more value for the organization.

Requested Soft Skills

  • Excellent communication skills;
  • Entrepreneurship and initiative;
  • Team Player and accessible;
  • Sharing knowledge;
  • Always continuous next;
  • Organization Aware;
  • Commercially Aware.

Requested Technical Skills (some of them)

  • In-depth knowledge of Databases, Data Transformations and Data Visualizations;
  • Knowledge of or experience with one or more programming languages ​​such as XQUERY, SPARQL, JAVASCRIPT, SQL, SAS Base and MDX;
  • Knowledge of modeling of data models such as Data Vault, Star modeling, third normal form modeling, Tripple Stores and Operational Data Hubs;
  • Knowledge of Ontology Based Searching and Text Semantics;
  • Knowledge of or experience with one or more software applications of SQL databases such as SQL Server, Oracle, Exasol, Snowflake and PostgresQL, of NoSQL databases such as MongoDB, MarkLogic and Apache Spark, of Hadoop Ecosystems such as Horton Works and Cloudera, of ETL tooling such as Informatica, SSIS, BO Data Services, Data Bricks, Jitterbit, MuleSoft and Pentaho Data Integrator, from BI Front-end tools such as SAP Business Objects, Cognos, Birst, Microsoft PowerBI, Tableau, Yellowfin, Spotfire and SAS VA, from Modeling tools such as Power Designer etc.

Requested Other Skills

  • At least a Bachelor in Computer Science, Business Informatics, Artificial Intelligence or similar;
  • Analytical skills, attention to details, result-oriented, enthusiastic, practical, independent and good communication skills;
  • Speak and write at least English and Dutch;
  • Continuous learning;
  • Willingness to travel;
  • Mindset can work 40-50 hours a week;
  • Be there when shit hits the fan;
  • Relax when possible.

What does Bravinci Offer

  • An indefinite contract with 25 vacation days;
  • High above market salary depending on your active consulting performance;
  • A passive addition to your active salary based on Bravinci performance outside the consulting unit;
  • A very transparent and informal culture, with a shared love for data dynamics;
  • All benefits that are important to you like:
    • Any type of mobility;
    • Pension accrual options.

Consultant Business Intelligence (en)

The data engineer, also known as Business Intelligence Developer, Data Logistician, ETL Developer and Data Warehouse Developer, is a specialist in the technical design, development, integration and implementation of information assets such as Business Intelligence and Data Warehouse solutions. The realization takes place in existing as well as in new build environments. Top Down analyzes the data engineer's information needs and system requirements as the basis for technical designs and knowledge models. Bottom Up analyzes the data engineer information flows, processes, procedures and source data. After the analysis, the data engineer programs data flows that result in Data Lakes and Data Hubs for Data Discovery and integrated multidimensional data models for targeted data analysis. Consuming customers are the intelligence analysts, data scientists and other information users in the organization.

Requested Personality

The data engineer is a forward-thinking person who links his IT, data logistic and data visualization skills to business affinity. The data engineer would like to use his skills in a "practice-driven" big data setting, so that he or she can actually see the effects of his output. Although the data engineer likes to "immerse" himself in extensive databases and data visualisations, he or she also likes to explore together with stakeholders how data can be used even more effectively and efficiently to achieve more value for the organization.

Requested Soft Skills

  • Excellent communication skills;
  • Entrepreneurship and initiative;
  • Team Player and accessible;
  • Sharing knowledge;
  • Always continuous next;
  • Organization Aware;
  • Commercially Aware.

Requested Technical Skills (some of them)

  • In-depth knowledge of Databases, Data Transformations and Data Visualizations;
  • Knowledge of or experience with one or more programming languages ​​such as XQUERY, SPARQL, JAVASCRIPT, SQL, SAS Base and MDX;
  • Knowledge of modeling of data models such as Data Vault, Star modeling, third normal form modeling, Tripple Stores and Operational Data Hubs;
  • Knowledge of Ontology Based Searching and Text Semantics;
  • Knowledge of or experience with one or more software applications of SQL databases such as SQL Server, Oracle, Exasol, Snowflake and PostgresQL, of NoSQL databases such as MongoDB, MarkLogic and Apache Spark, of Hadoop Ecosystems such as Horton Works and Cloudera, of ETL tooling such as Informatica, SSIS, BO Data Services, Data Bricks, Jitterbit, MuleSoft and Pentaho Data Integrator, from BI Front-end tools such as SAP Business Objects, Cognos, Birst, Microsoft PowerBI, Tableau, Yellowfin, Spotfire and SAS VA, from Modeling tools such as Power Designer etc.

Requested Other Skills

  • At least a Bachelor in Computer Science, Business Informatics, Artificial Intelligence or similar;
  • Analytical skills, attention to details, result-oriented, enthusiastic, practical, independent and good communication skills;
  • Speak and write at least English and Dutch;
  • Continuous learning;
  • Willingness to travel;
  • Mindset can work 40-50 hours a week;
  • Be there when shit hits the fan;
  • Relax when possible.

What does Bravinci Offer

  • An indefinite contract with 25 vacation days;
  • High above market salary depending on your active consulting performance;
  • A passive addition to your active salary based on Bravinci performance outside the consulting unit;
  • A very transparent and informal culture, with a shared love for data dynamics;
  • All benefits that are important to you like:
    • Any type of mobility;
    • Pension accrual options.

Consultant Data Science (en)