Edenred Logo

Edenred

Data Engineer

Posted 10 Days Ago
Be an Early Applicant
5 Locations
Mid level
5 Locations
Mid level
The Data Engineer is responsible for enhancing data capabilities by building optimal ETL processes, managing data pipelines, designing and deploying data platforms, and ensuring data accuracy, all while collaborating with business teams and communicating effectively with non-technical audiences.
The summary above was generated by AI

Take a step forward and let Edenred surprise you.

Every day, we deliver innovative solutions to improve the life of millions of people, connecting employees, companies, and merchants all around the world. 

We know there are hundred ways for you to grow. With us, you will expand your skills in a multicultural, challenging, and dynamic environment. 

Dare to join Edenred and get ready to thrive in a global company that will offer you endless opportunities.

Edenred is all about meritocracy. You come as you are, and you contribute. Indeed, the Edenred Group recognizes, recruits and develops all talents and singularities.

We are committed to preventing all forms of discrimination and to providing all our candidates with equal opportunities regardless of their gender and gender expression, disability, origin, religious belief and sexual orientation or any other criteria.

The Data Engineer supports and improves the data capabilities in terms of collecting, managing, and converting raw data into information that can be interpreted by data analysts and data scientists. The goals will be to define, build and improve the tools and procedures for data pipelining, functional and unit testing to enhancing reporting and advanced analytics in an ever-changing data infrastructure. They will have to communicate effectively to a non-technical audience that includes a wide range of customers from various countries and business lines.

Responsibilities:
• Build the data pipeline and have an optimal ETL process to populate a reporting optimized database using Microsoft Azure
• Monitor and manage data pipelines, ensuring data accuracy and stability
• Design the architecture, build, and deploy the data platform that provide intuitive analytics across the business
• Design and grow the data platform to support a variety of data use case (batch analysis, real-time analytics, data science …)
• Define, improve, and apply a Data governance framework
• Collaborate with the business teams, challenge them functionally on their new needs and analyse the technical feasibility
• Evangelize the releases to user, gathering feedback and tracking usage to improve future evolution
• Identify and improve delivery (data project management, automating manual processes, optimizing data delivery, re-designing architecture for greater scalability …)
• Enliven the local data community
• Identify use-cases and collaborate with eQ on potential projects
• Implement DevOps platform, framework, tools and continuous improvement/continuous delivery for data engineering projects

Your Profile:
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• 2-3 years proven experience as a Data Engineer or in a similar role, with a focus on building and optimizing data pipelines and architectures.
• Hands-on experience with ETL processes and tools, particularly in Microsoft Azure environments.
• Experience with data warehousing solutions and reporting-optimized databases
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Strong analytical and problem-solving abilities.
• Ability to work collaboratively with cross-functional teams and challenge business teams functionally on new requirements.
• Ability to manage multiple tasks and projects simultaneously in a fast-paced environment.
• Proactive and innovative mindset, with a focus on continuous improvement

Apply now and Vibe with Us!

Similar Jobs

3 Days Ago
Remote
Hybrid
10 Locations
Mid level
Mid level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead AI and Data Engineering projects, develop AI models, oversee data solutions and collaborate with teams to improve patient outcomes.
Top Skills: Amazon NeptuneAmazon RedshiftApache AirflowApache NifiApache SolrAWSAzureDockerElasticsearchGoogle BigqueryGoogle Cloud PlatformHadoopInformaticaJavaKafkaKubernetesNeo4JPrefectPythonScalaSnowflakeSparkSQLTalend
3 Days Ago
Remote
9 Locations
Mid level
Mid level
Sports
As a Data Engineer at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.
Top Skills: Apache AirflowSparkAws AthenaAws Ec2Aws EksAws EmrAws LambdaAws RdsAws RedshiftAws S3PythonSQL
3 Days Ago
Singapore, SGP
Internship
Internship
Gaming • Hardware
The Data Engineer Intern will enhance existing data pipelines and create new pipelines crucial for analytics and AI/ML products. Responsibilities include data profiling, processing, and ensuring data accuracy. The intern will learn data engineering skills, data operations, best practices in Data Warehousing, and familiarize themselves with CI/CD, SQL design, and cloud computing technologies like AWS and Terraform.

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account