Senior Data Engineer

Date: 24 Jun 2024

Location: Bucuresti, Bucuresti, RO

Company: worldline

 

Bucharest

 

 

 

 

This is Worldline.

 

Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. 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

 

Worldline is seeking a highly skilled Senior Data Engineer to join our dynamic team in the payment industry. The primary responsibilities of the role will include data boarding, modeling, and transformation with Databricks on the Azure cloud as well as the administering and evolution of the Data Platform.  In addition, the Senior Data Engineer will be responsible for supporting and mentoring junior data engineers.

 

 

Day-to-Day Responsibilities​

 

  • Design and implement data boarding, modeling, and transformation processes
  • Administer the Data Platform in Azure, ensuring its availability, reliability, and security
  • Support and mentor junior data engineers in their daily tasks and projects
  • Work closely with the data architecture team to develop efficient and scalable data solutions
  • Collaborate with other teams to gather and understand data requirements
  • Manage and maintain data pipelines and ETL processes
  • Continuously optimize and improve data processes and performance
  • Ensure data availability, reliability, and scalability
  • Stay current with industry best practices and emerging technologies

 

 

Who Are We Looking For

 

We look for big thinkers. People who can drive positive change, step up and show what’s next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:

 

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • Proven experience in data engineering and analytics, specifically in the payment industry
  • Proficiency in Big Data technologies, Spark, Python programming, Git, Business Intelligence, SQL, DevOps, CI/CD methodologies
  • Hands-on experience with Databricks on the Azure cloud
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities
  • Good knowledge of English, both speaking and writing skills

 

 

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:

 

  • Work from home allowance
  • Hybrid Working Policy
  • Meal vouchers
  • Gift vouchers on the occasion of Christmas/Easter Holidays
  • Private medical services
  • 21 vacation days/year
  • Referral bonuses for new hires recommended by you
  • WFH & Flexible Working Hours
  • Full access to the “Learning” platform

 

Shape the evolution.

 

We are pushing towards the next frontiers of payments technology, and we look for big thinkers to join our journey. People with passion, can-do attitude and a hunger to learn and grow. Here you’ll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on the society. And with our empowering culture, strong technology and extensive training opportunities, we help you accelerate your career. Wherever you decide to go. Join our global team of over 18,000 innovators across 40+ countries, and shape a tomorrow that is yours to own.

 

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

 

We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.