Data Engineer

Job Description

We are looking for an experienced Freelance Senior Data Engineer with knowledge of Spark, Python, Airflow, Glue, and AWS.

Location: Amsterdam

Period: 6-12 months

Project Startdate: within 4 weeks

Extra: English speaking candidates welcome, living in The Netherlands though

Data Engineer Responsibilities

• You are part of an Agile team (10 FTE) as a data engineer with 2-weekly sprints with a lot of exposure to business.
• You're able to pragmatically build the best solution for a given data problem (architecture, data model, data storage & processing services, ...).
• You industrialize ETL jobs for data selection, you build and feed ML models, run monitoring jobs & extract data for KPIs & reports.
• You help build & maintain the CI/CD stack & configurable infrastructure (TerraForm).
• You engineer the underlying datasets and make them available for our B2B Datalab web platform.
• You work proactively as well as at the request of the business & product owner.
• You continuously share and expand your knowledge with colleagues in the data engineering & data science guilds within our company.

Requirements

• Master’s degree in Computer Science, Applied Informatics with graduation option or first experience in AI.
• You have several years of professional experience as a Data Engineer in a highly available and scalable big data environment.
• Experience within an AWS stack (Code pipeline, Glue, Lambda, S3, ...), with thorough knowledge of Spark, Python & Airflow is a must.
• Experience with TerraForm and Snowflake is a plus, or willingness to learn.
• Experience with machine learning algorithms, MLOps & prior experience with ML Engineers and/or data scientists is a plus.
• Experience with digital marketing and advertising systems is a plus.
• Team player!
• DevOps experience (set-up of CI/CD pipelines) is a plus. You build it, you run it.
• You are thorough, but also pragmatic (the 80/20 rule).

Application

If you are interested in this freelance role please send us your up-to-date CV (word format) + short motivation based on the job description (!) + indication rate via the button below or call us for more information 085 – 06 53 646 or 06 – 34657362.

Tags

#dataengineer #machinelearning #spark #aws #J-18808-Ljbffr