Data Engineer

Pluxee is een wereldwijde speler in employee benefits en engagement die actief is in 31 landen.
Pluxee helpt bedrijven talent aan te trekken, te binden en te behouden dankzij een brede waaier aan oplossingen over Maaltijden & Voeding, Welzijn, Lifestyle, Beloning & Erkenning en Public Benefits.
Aangedreven door toonaangevende technologie en meer dan 5.000 geëngageerde teamleden, fungeert Pluxee als een betrouwbare partner binnen een sterk onderling verbonden B2B2C ecosysteem dat bestaat uit meer dan 500.000 klanten, 36 miljoen consumenten en 1,7 miljoen handelaars.
Pluxee doet al meer dan 45 jaar zaken als een betrouwbare partner en zet zich in om een positieve impact te creëren voor al zijn stakeholders, van het stimuleren van business naar lokale gemeenschappen, tot het ondersteunen van welzijn op het werk voor medewerkers en het beschermen van de planeet.
Type werknemersovereenkomst: Permanent Regular
Job Description: Pluxee is a global player in employee benefits and engagement that operates in 31 countries.
Pluxee helps companies attract, engage, and retain talent thanks to a broad range of solutions across Meal & Food, Wellbeing, Lifestyle, Reward & Recognition, and Public Benefits.
Powered by leading technology and more than 5,000 engaged team members, Pluxee acts as a trusted partner within a highly interconnected B2B2C ecosystem made up of more than 500,000 clients, 36 million consumers, and 1.7 million merchants.
Conducting its business as a trusted partner for more than 45 years, Pluxee is committed to creating a positive impact on all its stakeholders, from driving business to local communities, to supporting wellbeing at work for employees while protecting the planet.
Your next challenge: Pluxee has chosen a distributed Data Hub (central) and Data Spoke (local) organization where the Spokes are data factory teams covering multiple countries' data needs and supporting business teams by delivering operations reporting, ad-hoc analysis supporting decision making, and advanced insights aiming at predicting clients, merchants, or consumers behaviors.
The Hub is the Data Center of Excellence, and its main role is to enable spoke providing data capabilities, setting policies, defining best practices, leading data communities, and delivering global generic data products to be reused by spokes.
As a Data Engineer, your main role in the organization is to build and set up data solutions.
Being a member of a data team, you will follow IT architecture and security guidance and practices, and will be responsible for building dedicated data flows and processes to:
Ingest data into the company data platformEnhance data quality following Data Governance principlesEnsure compliance with data protection lawAutomate data computations (for Business intelligence and Machine learning purposes)Feed operational system used by end users (Marketing, CRM, Sales solutions)Implement cost-efficient and industrialized data jobs on a hybrid infrastructure (on-premise / cloud) mixing several technologies: Rest API, SQL & NoSQL databases, batch, and files… with different latencies (from batch to real-time).Being a member of the worldwide data community, you will need to actively participate in global projects involving your country: global data platform design and evolution, subsidiary data feedback processes, agile squad features tracking and coordination meetings, and stand-up.
You're a match: Master's degree in Computer Science or Data Engineering or equivalent.+3 years experience as a Data Engineer in a permanent position, working transversally in an international company and an agile organization.Ability to work autonomously but with team spirit and engagement in projects.Strong communication skills, enabling effective collaboration with diverse stakeholders.Problem-solving mindset with a proactive approach to identifying and addressing challenges.Adaptability and openness to continuous learning and improvement.Attention to detail and commitment to delivering high-quality work.Strong organizational skills, with the ability to manage multiple tasks and prioritize effectively.Cultural sensitivity and ability to work in a multicultural environment.Customer-oriented mindset.Effective time management skills to ensure project deadlines are met.Creative thinking and innovation in developing new solutions and improving existing processes.Bilingual in English.Technical skills: Building and managing ETL and ELT processes, working with data lakes to optimize data loads, standardize data, and ensure data quality and protection.Modeling data warehouses in a distributed architecture, ensuring efficient storage, retrieval, and processing of large-scale data sets.Implementing data governance practices, ensuring compliance with data privacy regulations, and maintaining data security.Using tools like Azure Data Factory/Synapse or with a strong experience with other technologies as Talend or AWS Glue for orchestrating ETL workflows.Technical Skills and Tools: Great experience and knowledge of SQL, to build scalable and optimized processes, perform query tuning, and to manage database modelling and performance.Developing Python components within a Spark environment, handling data parsing (XML, JSON), and integrating with machine learning pipelines (optional but advantageous).Working with distributed computing frameworks like Apache Spark, Databricks, or Hadoop for processing large datasets.Utilizing version control systems (e.g., Git) and collaborating in a team environment using Agile methodologies.Cloud and API Expertise: Comprehensive knowledge of DevOps principles, including CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI, and infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates.Understanding of cloud architecture and services across major cloud platforms (AWS, Azure, GCP), including storage solutions, compute resources, networking, and security practices.In-depth understanding of REST APIs, including OAuth for authentication, handling pagination, and using Swagger/OpenAPI for API documentation and design.Debugging and monitoring applications using tools like CloudWatch, Azure Monitor, or GCP Stackdriver.Experience on those activities in an Azure environment is a big plus. To get this challenge: Video call with TA ExpertVideo call with Data Spoke ManagerVideo call technical interviewHappy at work: A meaningful job: build the future of employee benefits and contribute to the quality of life at work for others, you will impact positively local communities too.
It counts!A great culture: we respect and care authentically about our people, we embrace work-life balance, new ideas and we have a lot of fun!Employee experience is what we do.
So, you can expect a comprehensive package including benefits and an annual bonus based on performance.About Pluxee: Working at Pluxee is joining a multicultural team that moves as one.
It's also a place where your ideas, perspectives, and input count.
You'll be given the freedom and autonomy you need to do impactful work, supported by a team that cares about your well-being, growth, and work/life balance.
It's the agility you'd expect from a fast-growing small business, with the stability that only a globally renowned company with +45 years in the business can offer.
Put a part of yourself into the future of employee benefits and meaningfully contribute to lives and communities worldwide.

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