Job Description

Senior Data Engineer - Remote in EU

We are looking for a strategic and experienced Senior Data Engineer to lead the design and implementation of our data analytics infrastructure. This role emphasizes big-picture thinking and architecture design, ensuring our data systems are robust, scalable, and aligned with organizational goals. If you're passionate about building data ecosystems and enjoy working with cutting-edge technologies, we'd love to hear from you.

What You’ll Be Working On

• Architecture and Design
  
  
  
  • Design end-to-end data solutions to support analytics, machine learning, and real-time data processing.
  
  
  • Collaborate with stakeholders to define technical strategies to optimize performance and processes and align data solutions with business needs.
  
  


• Data Pipeline Management
  
  
  
  • Build and maintain ETL/ELT pipelines using PySpark, Apache Iceberg, and Dagster (Python).
  
  
  • Optimize pipelines for performance, scalability, and cost-effectiveness.
  
  


• Data Infrastructure
  
  
  
  • Manage and enhance AWS-based data infrastructure, including EMR, S3, Athena, and MSK (Kafka).
  
  
  • Develop data storage and query performance solutions, leveraging technologies like Parquet and Iceberg.
  
  


• Strategic Oversight
  
  
  
  • Evaluate existing and new technologies to incorporate into our data platform.
  
  
  • Mentor team members and promote best practices in data engineering.
  
  


• Collaboration and Problem Solving
  
  
  
  • Work closely with data analysts, and business teams to deliver data-driven solutions.
  
  
  • Troubleshoot complex data-related issues and ensure system reliability and data quality.
  
  

What You Bring to the Team

• Technical Expertise :
  
  
  
  • Hands-on experience with AWS services such as EMR, S3, Athena, and MSK.
  
  
  • Proficiency in Python and PySpark for data engineering tasks.
  
  
  • Deep knowledge of data storage formats like Parquet and Iceberg.
  
  
  • Solid understanding of data streaming and real-time processing with Kafka.
  
  


• Strategic Mindset :
  
  
  
  • Proven ability to design and implement scalable data architectures.
  
  
  • Strong problem-solving skills and experience with big-picture decision-making.
  
  


• Experience :
  
  
  
  • 5+ years of experience in data engineering or a related field.
  
  
  • Background in building and maintaining cloud-based data ecosystems.
  
  


• Nice to Have :
  
  
  
  • Familiarity with Kubernetes and relevant AWS practices.
  
  
  • Experience with orchestration tools like Dagster.
  
  

Who You Are

• Collaborative and able to communicate effectively with technical and non-technical stakeholders.


• Forward-thinking, with a focus on innovation and future-proofing data systems.


• Comfortable with both hands-on tasks and high-level strategy.

Countries we are hiring in:

🇦🇹 Austria

🇩🇪 Germany

🇭🇺 Hungary

🇮🇪 Ireland

🇱🇻 Latvia

🇱🇺 Luxembourg

🇵🇹 Portugal

🇵🇱 Poland

🇸🇰 Slovakia

🇬🇧 UK

What benefits are waiting for you?

General:

📝 Permanent employment contract via PEO

🌎 Flexible working hours

🤒 Paid sick leave

🏖️ Paid flexible PTO

🎅🏼 Prezi holidays

💻 Laptop

🌱 Home office setup subsidy - budget for purchasing extra equipment for your home office

🤑 Monthly contribution towards your internet bills

📈 Stock options

Taking care of yourself:

💊 Private medical care

🤸Gym perk

🧘 PsychCom— supporting you with legal, financial and personal support advice

Events connecting us together:

🎉 PowerWeek - annual event for the whole company organised in an exciting EU location

🎮 Game nights

🍱 Cooking events

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