Agilytic
Management Consulting
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Agilytic. Skills: Data infrastructure, Data pipelines, Cloud platforms, Python, SQL. Conceive and build data architectures. Integrate data sources”
Industry & Context.
Problem-solving mindset; Pragmatic approach; Agile; Problem-solving
Valid type driving license, Eligibility to work in Belgium and the European Union
What They're Looking For.
Must Have
Master's degree in engineering, computer science, mathematics, statistics, or a related quantitative discipline, At least 3 years of professional experience as a Data Engineer or in a closely related role, Hands-on exposure to big data platforms (Databricks, EMR, Cloudera, Hadoop. . . ), Hands-on exposure to cloud environments (Azure, AWS, or GCP), Hands-on exposure to end-to-end BI projects, Working experience with Python, Working experience with SQL, Fluency in English
Nice to Have
Knowledge of Spark with Scala or Pyspark, DevOps best practices integration (CI/CD, Infra-as-Code, unit testing), Workflow management such as Airflow or Oozie, Stream processing such as Kafka, Kinesis, Elasticsearch, Fluency in French or Dutch, Proficiency in Dutch
What You'll Do.
Conceive and build data architectures
Integrate data sources
Develop data pipelines
Create data warehouses
Monitor data stability
Optimize data ecosystems
Support Data Scientists
Support Data Analysts
Deploy data solutions
How You'll Work.
Team & Collaboration
Support Agilytic Data Scientists & Data Analysts; Coach and share knowledge with colleagues; Foster team exchanges; Strengthen collective culture
Communication Scope
Fluency in English; Fluency in French or Dutch
Full Job Description
Since 2015, Agilytic has helped organizations reach their goals through the smarter use of data and AI. With over 300 successful projects completed in Belgium and abroad, we strive to be a leading boutique firm delivering high-impact solutions for marketing, operations, and finance decision-makers. As a Data Engineer at Agilytic, you join our Platform Engineering & BI practice and tackle complex technological projects on our most challenging assignments. Your work is to build and maintain the (big) data infrastructure our Data Scientists and Data Analysts rely on to deliver client value. While regular presence at client offices is required, we offer flexible and hybrid working arrangements. Our main offices are in Brussels' city center, and we gather there every Friday to foster team exchanges and strengthen our collective culture. ### What will you do day-to-day? * Conceive and build maintainable (cloud) data architectures (infrastructure, ETL, infra-as-code…) * Integrate data sources by developing data pipelines * Create large data warehouses and datamarts fit for further reporting or advanced analytics * Monitor the quality and stability of data solutions * Optimize data ecosystems' performance & costs * Support Agilytic Data Scientists & Data Analysts in deploying data solutions for the clients * Stay up to date with the latest developments in data technology * Coach and actively share your knowledge with your colleagues **Requirements** We are looking for strong candidates with the following academic and professional experiences. ### Your background * A master's degree in engineering, computer science, mathematics, statistics, or a related quantitative discipline * At least 3 years of professional experience as a Data Engineer or in a closely related role, with hands-on exposure to big data platforms (Databricks, EMR, Cloudera, Hadoop...), cloud environments (Azure, AWS, or GCP), or end-to-end BI projects * A real appetite for picking up new tools and technique
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