[Apprenticeship – DATA Engineer (F/M)]

[Seclin]

This is Worldline

We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. The solutions our people build today power the growth of millions of businesses tomorrow. From your local coffee shop to unicorns and international banks. From San Francisco to Auckland. We are in every corner of the world, in every part of commerce.  And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution.

The Opportunity

As a Data Engineer in the IAM domain, you will have the opportunity to design and build robust data pipelines that support key identity management initiatives. Your scripting skills will play a critical role in automating processes and improving efficiency. You will collaborate with diverse teams across the globe, so proficiency in English is essential for effective communication and teamwork.

Day-to-Day Responsibilities​

• Build Data Pipelines:
  • Design and maintain scalable data pipelines that process identity-related data, utilizing your scripting skills in languages such as Python, SQL, or Bash.
  • Integrate data from various sources, such as APIs and external systems, into our IAM infrastructure.
  • Implement ETL processes to ensure data reliability and quality.

• Data Governance and Security:
  • Apply security and privacy standards to protect sensitive identity information.
  • Monitor and audit data processes to ensure compliance and mitigate risks.

• Scripting and Automation:
  • Develop scripts to automate data extraction, transformation, and loading processes, enhancing the efficiency of data workflows.
  • Create reusable code and maintain documentation to facilitate knowledge sharing within the team.

• Data Visualization and Reporting:
  • Create intuitive reporting tools to facilitate analysis and decision-making.
  • Ensure data accuracy and provide support for interpreting results.

• Performance Optimization:
  • Identify areas for improvement in our data workflows and implement optimizations.
  • Optimize query performance to ensure fast data processing.

• Team Collaboration:
  • Work with international teams to understand their unique data needs.
  • Foster open and inclusive dialogue with all stakeholders.

Who Are We Looking For

We're looking for people who are able to drive positive change, make suggestions, move forward and show the way forward, people with passion, a positive attitude and a thirst for learning and progress.

You will apply your main skills, including

• Knowledge of BI methods, techniques and standards;
• ETL: Talend / Java / Python
• Reporting: Pentaho, OAS, Apache Superset
• Database: Oracle, PosgreSQL

Perks & Benefits

At Worldline you’ll get the chance to be at the heart of the global payments technology industry and shape how the world pays and gets paid.

On top of that, you will also:

• Annual bonus (Vacation, participation & profit-sharing...)
• 32 days paid vacation
• 75% reimbursement of transportation costs
• CSE (Trips, leisure subsidies...)
• Taking part in sporting events (Corporate Games...)
• Teleworking agreement
• Access to our company restaurant
• Health Insurance
• Wellbeing@Worldline approach

Shape the evolution

As we move into the new frontiers of payments technology, we're looking for bold thinkers to join our journey. People with passion, a positive attitude and a desire to learn and grow. Here, you'll work with ambitious colleagues from all over the world, tackle unique challenges together and make a real impact on society. And with our rewarding culture, robust technology and extensive training opportunities, we'll help you accelerate your career. Wherever you decide to go. Join our global team of over 18,000 innovators in more than 40 countries and shape a future that's all yours.

Learn more about life at Worldline at careers.worldline.com

We are proud to be an Equal Opportunity Employer. We do not discriminate on the basis of religion, color, national origin, sex (including pregnancy, childbirth or medical conditions), sexual orientation, gender identity, gender expression, age, disability status or any other characteristic protected by law.