Junior Data Engineer - Data & AI Factory

Job Description

For a prestigious customer - we are looking for dedicated Data / AI Engineers (both juniors and mids) to leverage their experience in the public cloud, to interpret our customers’ business and technical requirements in order to extract the value from their data, using Dataiku and GCP products and services as well as other industry-known technologies.

In this position you will:

• work as part of the 24x7 Data & AI Factory team, working with the customer to support their data-ops and AI projects
• be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations
• help to build, maintain and troubleshoot data observability solutions to improve data quality
• help turn data into valuable business insights, preparing custom solutions optimised for each client

Note: this position requires working in shifts, overnight and during weekends (on-call). Details can be shared during the interview.

Qualifications

We are looking canditations with the below qualifications:

• BA/BS in Computer Science or Math, or related technical field / equivalent experience
• Experience in one or more development languages, with a strong preference for Python, Java
• Basic knowledge of GO
• Good DBT knowledge 
• Proficient in SQL
• Good knowledge of Looker and/or Power BI
• Some experience with programming in Agile methodology as well as ITIL best practices
• Knowledge of database and data analysis technologies, including relational and NoSQL databases, data warehouse design, and ETL/ELT pipelines.
• Relevant experience with GCP data products and services
• Fluency in English

Nice to have:

• Experience with Dataiku (preferably supported with certification)
• Experience with job orchestration tools (e.g. Airflow, Dagster)
• Experience with data ingestion tools (e.g. Fivetran, Airbyte )
• Experience in Hadoop and using platforms such as Apache Spark, Pig, or Hive

Additional Information

What will you get apart from the salary?

• B2B or Employment contract
• Hybrid working model
• Up to 26 days of vacation per year 
• MultiSport card (70 % of costs covered by Devoteam) 
• Cafeteria (200 points/month)
• Contribution for glasses
• Career Management, training and certifications in the best breed of technologies - focused on technical skills, Project Management methodology etc., including Udemy for business accounts.
• Private medical healthcare including dental package
• Referral program

Moreover, we offer:

• Foreign business trips
• Above standard working equipment (possibility of purchasing equipment)
• Coffee, tea, snacks in the office
• Company events and team buildings
• Friendly and open culture
• Pet friendly office

And last but not least, you can rely on:

• Transparent framework for career growth, reinforced by annual performance evaluations
• Trust and autonomy, with no micro-management
• Learning from senior colleagues and opportunities to collaborate with professionals from various industries
• Opportunities to attend conferences to keep skills up-to-date
• Working on a variety of international projects for a broader range of experience
• Adoption and utilization of evolving IT technologies
• Usage of AI tools and access to elaborate, tailored AI training