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