Role highlights
Full Time
Permanent
Mid
On-site
The Data Engineer role at Dreamdata requires a mid-level professional with at least 4 years of experience in data or software engineering, specializing in building and scaling complex data infrastructure. The candidate must have proven expertise in designing, owning, and maintaining production data pipelines, with a strong focus on monitoring, health, and uptime of highly available services. Proficiency with data processing engines such as Apache Beam and Google Cloud Dataflow is essential, along with a solid understanding of batch versus streaming pipeline architectures and their appropriate use cases. Experience working with various data storage solutions is required, including blob storage platforms like Google Cloud Storage or Amazon S3, OLAP/OLTP databases, and file formats such as Parquet and DuckDB. The role demands ownership from design through deployment, requiring pragmatic decision-making to balance rapid delivery with avoiding over-engineering. The technical stack centers around Google Cloud Platform services including Dataflow, BigQuery, Cloud Storage, Cloud SQL, and Google Kubernetes Engine. Additionally, the engineer will work with APIs and backend services developed in Go, and utilize Python for data science-related tools and services. Familiarity with Temporal for scheduling and executing durable workloads is also important. The position is based in Copenhagen within a dynamic and supportive team environment, emphasizing delivering tangible value to users and contributing to a rapidly growing B2B marketing attribution platform. A bachelor's degree is expected, complementing the candidate's practical experience and technical skills.
About the role
About Dreamdata
- Industry leader in B2B marketing attribution and revenue optimization
- Mission: Help B2B marketing leaders connect their efforts directly to real revenue
- Founded in 2019 by ex-Trustpilot product and engineering leaders
- Achieved strong product-market fit and triple-digit YoY growth
- Recently raised $55,000,000 in Series B funding
- Rapidly expanding and seeking top-tier talent
Role Summary
- Join the Platform Engineering team in Copenhagen
- Work on data pipelines and infrastructure in Google Cloud
- Ensure scalability for a growing customer base
Responsibilities
- Improve and maintain data ingestion pipelines (60-80 events per second)
- Own data transformation and enrichment (Dataflow)
- Monitor health and ensure uptime for highly available services
Requirements
- 4+ years of experience in data or software engineering, including building and scaling data infrastructure
- Experience owning complex production data pipelines, including monitoring and evolving them
- Worked with data processing engines like Apache Beam / Dataflow
- Understand batch vs. streaming pipelines and when to use each
- Experience with data storage technologies: blob storage (e.g. S3, GCS), databases (OLAP/OTLP), file formats (Parquet/DuckDB)
- Take ownership from design to deployment and make pragmatic decisions independently
- Balance velocity and over-engineering
- Excited about delivering real value to users
Tech Stack
- GCP: Dataflow/Apache Beam, BigQuery, Cloud Storage, Cloud SQL, Google Kubernetes Engine
- APIs and services in Go
- Data science tools and services in Python
- Temporal for scheduling and executing durable workloads
Benefits
- Office in central Copenhagen with sea view
- Equity in a growing company
- Delicious lunch in the canteen
- Supportive and dynamic team
- Private health insurance with pension plan
- Office dogs
How to Apply
- If the role sounds exciting but you don't match all points, please consider applying anyway
- Dreamdata is committed to an inclusive, diverse workplace
- Passionate about building connections and helping businesses succeed? We'd love to hear from you
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Dreamdata
Dreamdata provides an account based revenue attribution platform for growing B2B SaaS companies with a diverse marketing and sales tech stack. With our product...
- Location
- København
- Employees
- 11-50 employees
- Website
- dreamdata.io