#BETHEDIFFERENCE

If making a difference matters to you, then you matter to us.

Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We’re innovators with impact. We provide expert software & information solutions that the world’s leading professionals rely on, in the moments that matter most.

You’ll be supported by collaborative colleagues who share a purpose. We are 21,000 people unique in our dreams, life stories, abilities, and passions who come together every day with one ambition: to make a difference.​ We do our best work together, connecting to create new innovations with impact.

About the Role:

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 

At least 2 years’ experience in a similar role 

Advanced level of English

Working knowledge of Agile development 

Programming Languages: Python; C# (would be a plus) 

Software Design knowledge: design patterns, event sourcing, algorithms, microservices, web services (SOAP/REST), 

NoSQL/SQL: database design, development and data modeling (e.g. AzureSQL, PostgreSQL, CosmosDB); 

Big Data Tools: Snowflake, data lakes (Azure suite) 

Can be a plus: Spark/DataBricks, Kafka, Azure Data Factory 

Cloud: Microsoft Azure and their data services 

DevOps & Automation: containers and container orchestration (Docker), infrastructure as code (Terraform & Pulumi), CI/CD pipelines (GitHub Workflows)

Impactful decision maker 

Problem solver with a “can do”, positive and pragmatic attitude 

Good interpersonal relationship 

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