Senior Data engineer

Cognism is a market leader in international sales intelligence. Access to our premium data, has helped a wide variety of global revenue teams change their approach to prospecting, resulting in predictable and prosperous outcomes. 

Following multiple successful funding rounds and the acquisition of Mailtastic (2020), an email signature solution provider, and Kaspr (2022), a Paris-based sales prospecting tool, there has never been a more exciting time to join us.

As we grow, one of our main objectives is to continue hiring individuals, who are both a professional and cultural fit for our Company. Our values are at the core of everything we do! 

Our people; 

  • Are Nice! 
  • Are Collaborative. We’re in this together! 
  • Are Solution-Focused. For every problem, we’ve got a solution!
  • Are Understanding.
  • Celebrate Individual Contributors. 

We are committed to creating a diverse and inclusive global workplace, which encourages you to achieve any goals you may have, while having fun along the way!

Summary: 

We are now looking for an experienced Senior Data Engineer to join our fast-growing team. You will be responsible for building, monitoring and automating our data pipeline. 

You will have the opportunity to work with the latest tools and frameworks in Data Engineering with hands-on coding. The ideal candidate should have experience with big data pipelines and be open to evaluating and adopting new data technologies to enhance data engineering capabilities and processes. You’ll work with a team of skilled Data Engineers of different experience levels. 

If you are proactive, willing to continuously learn and have experience in this field, we’d like to hear from you. 

 

Responsibilities: 

  • Designing, developing, and managing modern ingestion pipelines, optimizing transformation processes and handling large volumes of streaming and batch data  
  • Develop a monitoring and alerting system as well as automatization of the processes 
  • Researches and leads the adoption of new approaches/technologies  
  • Act as a technical lead and a multiplier who shares knowledge and delegate to help others grow 

 

Requirements:  

  • Have 6+ years of experience as a software engineer 
  • Demonstrated experience in building, testing, and maintaining highly scalable and robust data pipelines 
  • Experience with big data processing frameworks and tools (preferable Spark, Flink or similar) 
  • Expertise in at least one of the languages relevant to data engineering (Scala preferable, Python, Java) 
  • Knowledge of cloud computing platforms(AWS preferable, Azure, Google) and distributed systems 
  • Strong understanding of storage systems 
  • Working experience with message brokers/messaging platforms (preferably RabbitMQ, Kafka) 
  • Understanding of data structures, algorithms, and database management systems (SQL and NoSQL) 
  • Effective collaboration and teamwork skills 
  • You are able to lead, influence, and guide your colleagues 
  • Clear and effective verbal and written communication skills 
  • Excellent problem-solving and critical-thinking skills

We look forward to hearing from you!