Senior Data Engineer

Your key responsibilities will include:

• Working with stakeholders to grow the amount and kinds of customer-defined targetings we can calculate in real-time
• Develop new features for our in-house streaming key/value DBs
• Improve resource utilization across all stages of our data pipelines, from validation and ingestion to storage to dynamic queries
• Collaborate with developers and stakeholders to design services in order to meet product and business requirements

Requirements

Who we are looking for:

Our future colleague should be a passionate data engineer and trustworthy professional, with an attitude of ownership, commitment to deliver, a desire to make an impact, and a collaborative mindset. We are welcoming teammates who enjoy experimenting with data engineering technologies.

The following key skills and experience are required:

• Fluent in Go, C++ or similar languages
• You have significant exposure to Kafka as data processing system
• Strong experience in working within distributed, event-driven system with a focus on real-time processing and observability
• Handled several high-dimensional, high-cardinality, from high-level entity modeling and pipeline design to low-level problems of representation and query access patterns
• You have seen through an entire program development lifecycle, from feature conception to deployment and monitoring
• Adaptability and flexibility when dealing with change and ambiguity
• Ability to interpret and communicate information in a clear and concise manner to others (technical/non-technical team members etc.)
• Open and friendly personality, excellent interpersonal and team-working skills as well as a problem-solving mindset and self-improve skills
• Excellent verbal and written communication skills in English
• Bachelor or higher degree in computer science (or equivalent).
  

We use the following tech-stack:

• Spark and HDFS on Cloudera
• Java 11+ and Go services running via on-prem Kubernetes
• protobuf and gRPC
• Kafka 3, with Kafka Streams and Sarama
• LSM-based key/value stores e.g. RocksDB
• OLAP-focused relational stores e.g. ClickHouse.

Benefits

• Challenging projects in a highly professional, but also a collaborative and supportive environment
• Working in small and excellently skilled teams
• Opportunity for long-term professional growth within our development center
• Competitive compensation depending on experience and skills
• Respect and support for your professional, family and personal goals.