Data Engineer

• Minimum 4 years’ experience in a similar position within a dynamic and fast paced environment.
• In-depth understanding of data management (e.g. permissions, recovery, security and monitoring).
• Knowledge of software development life cycle.
• Hands on experience with SQL.
• Experience with data processing tools and creation of data pipelines (Spark, Hadoop, cloud native solutions, …).
• Experience with ETL tools (preferably Oracle Data Integrator, dbt + airflow).
• Familiarity with relational (preferably Oracle, Snowflake) and non-relational databases.
• Experience with one or more of the major cloud providers (AWS preferably), knowledge of SaaS/PaaS futures.
• Experience with CI/CD pipelines (e.g. Jenkins).
• Familiarity with infrastructure as code software tools (e.g. Terraform).
• Familiarity with data modelling concepts (Inmon, Kimball, Data Vault, …).
• Excellent analytical and organization skills.
• An ability to understand front-end users requirements and problem-solving attitude.
• Excellent verbal and written communication skills.
• Very good command of English.

Nice to have:

• Understanding business needs, experience in cooperation with business, gathering business requirements, creating diagrams and documentation of mappings.
• Experience in performance tuning.
• Java/Python experience.
• Knowledge of user interface web application

– Prestigious position
– Stable, long-term projects
– Competitive salary with a B2B contract
– Private healthcare and multisport card
– Personal growth and development opportunities with the possibility to rotate between projects
– Referral program and company events
– Convenient parking ,[Design stable, reliable and effective databases, data processing pipelines and data streaming solutions., Performance tuning, optimization and maintenance of data systems., Modify databases and streaming systems according to specifications and perform tests., Solve database usage issues and malfunctions., Liaise with other developers to improve applications and establish best practices., Gather user requirements and identify new features., Develop technical and training manuals., Provide data management support to users., Ensure all database programs meet company and performance requirements., Research and suggest new database products, services and protocols.] Requirements: SQL, ETL, CI/CD Additionally: Multisport, Cafeteria system, Private insurance.