Senior Data Engineer

A data engineer develops and optimizes Enablon’s conceptual and logical data systems. Enablon has a very rich product ecosystem which is very data centric: 

• Our systems need to share data to support joint scenarios where products interact with each other and share the same data referential (locations, sites, organization, equipments)

• We want to develop and maintain data ingestion and processing systems 

• We need to ensure data consistency and accuracy through data validation and cleansing techniques 

To succeed in this role, you will have to how to examine new data system requirements and implement migration models.

You will work together with others in solving complex technical problems. You will use analytical thought to exercise judgement and identify innovative solutions. He/she works independently – with guidance in more complex situations – to impact the achievement of project objectives. You will be guided by technical and professional standards and guidelines. 

Responsibilities:

• Design, develop, and maintain efficient ETL processes to extract, transform, and load data from various sources using tools like Snowflake

• Oversees the migration of data from legacy systems to new solutions 

• Design and implement data models to support analytics and reporting requirements

• Implement data quality checks and validation processes to ensure data accuracy and completeness

• Optimize data processing workflows and queries to improve performance and reduce latency

• Work closely with analysts, and other stakeholders to understand data requirements and deliver solutions

• Monitor data pipelines and systems for issues and troubleshoot any problems that arise

• Ensure data security and compliance with relevant regulations and standards

• Identify opportunities for improving data processes and implement best practices

Expected outcomes (accountability) 

• Installs and organizes information systems to guarantee feature completeness 

• Ensure all ETL pipelines are running smoothly, with timely delivery of data

• Continuously monitor and improve the performance of data processing workflows

Requirements:

• Education: Bachelor's degree in information technology or related field 

Our Offer:

• Room for personal development through external, internal training tools and learning and development program #GROW

• Yearly performance bonus based on your seniority

• Referral bonus, meal vouchers, monthly allowance, gift vouchers twice a year

• Corporate Health Insurance

• Mindfulness and Wellbeing programs (Wellbeats, MyQuillibrium, Compsych, Mind & Body webinars)

• Up to 28 days of annual leave based on seniority

• We have a strong Work from Home culture and take into consideration punctual needs and more

• Flexible working schedule