Senior Data Engineer - Keyrock
Data Engineer
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Job Description
The role involves building streaming and batch pipelines, developing self-serve tooling, managing data contracts and schema evolution, designing lakehouse and time-series layers, and ensuring data governance and quality. The candidate will work with real-time data processing, system design, and operational readiness, focusing on outcomes, ownership, and collaboration across teams. Experience with Kafka, ClickHouse, lakehouse architecture, Docker, Terraform, and Python/SQL is required. Knowledge of financial market data and interest in market mechanisms are a plus.
Company Information
| Location | Active listings |
|---|---|
| Remote - Global | 24 |
| Remote | 14 |
| Brussels, Belgium | 12 |
| Luxembourg | 11 |
| Zagreb, Croatia | 9 |
| Budapest, Hungary | 9 |
| London, United Kingdom | 9 |
| Paris, France | 9 |
| Amsterdam, Netherlands | 9 |
| Zurich, Switzerland | 9 |
| Warsaw, Poland | 9 |
| Rome, Italy | 9 |
| Rotterdam, Netherlands | 9 |
| Antwerp, Belgium | 9 |
| Geneva, Switzerland | 9 |
| Tallinn, Estonia | 9 |
| Lisbon, Portugal | 9 |
| Eindhoven, Netherlands | 9 |
| Vienna, Austria | 8 |
| Copenhagen, Denmark | 8 |
| Frankfurt, Germany | 8 |
| Manama, Bahrain | 8 |
| Dublin, Ireland | 8 |
| Barcelona, Spain | 7 |
| Zug, Switzerland | 7 |
| Sofia, Bulgaria | 6 |
| Berlin, Germany | 5 |
| Cape Town, South Africa | 4 |
| Buenos Aires, Argentina | 4 |
| Dubai, UAE | 4 |
| Johannesburg, South Africa | 3 |
| Istanbul, Turkey | 2 |
| Sofia | 2 |
| Manama | 2 |
| Dubai | 2 |
| New York, United States | 2 |
| Barcelona | 2 |
| Rotterdam | 2 |
| Vienna | 2 |
| Geneva | 2 |
| Lisbon | 2 |
| Antwerp | 2 |
| Zagreb | 2 |
| London, UK | 2 |
| Frankfurt | 2 |
| Berlin | 2 |
| Athens, Greece | 2 |
| Zurich | 2 |
| Tallinn | 2 |
| Istanbul | 2 |
| Brussels | 2 |
| Eindhoven | 2 |
| Athens | 2 |
| Budapest | 2 |
| Amsterdam | 2 |
| Seychelles | 2 |
| Paris | 2 |
| Rome | 2 |
| Dublin | 2 |
| London | 2 |
| Warsaw | 2 |
| Ghent, Belgium | 1 |
| Milan | 1 |
| Hong Kong | 1 |
| Cape Town | 1 |
| New York, USA | 1 |
| São Paulo, Brazil | 1 |
| Copenhagen | 1 |
| Porto, Portugal | 1 |
| Johannesburg | 1 |
| Porto | 1 |
| Madrid, Spain | 1 |
| Abu Dhabi, UAE | 1 |
| Krakow | 1 |
| Singapore | 1 |
| Abu Dhabi | 1 |
| Madrid | 1 |
| Milan, Italy | 1 |
| Prague | 1 |
| Zug | 1 |
| Role type | Active listings |
|---|---|
| Software Engineer | 9 |
| Head of Engineering | 3 |
| Product Manager | 3 |
| Content Intern | 2 |
| Data Architect | 1 |
| Director of Corporate Sales | 1 |
| Financial Trader | 1 |
| Quantitative Researcher | 1 |
| Marketing Specialist | 1 |
| Data-Manager | 1 |
| Security Engineer | 1 |
| Data Engineer | 1 |
| Site Reliability Engineer | 1 |
| Infrastructure Architect | 1 |
| Financial Services Manager | 1 |
| Engineer | 1 |
| Human Resources Specialist | 1 |
| QA Automation Engineer | 1 |
| Trader | 1 |
| Corporate Sales | 1 |
| Cloud Architect | 1 |
| Manager | 1 |
| Quantitative Analyst | 1 |
| Trading | 1 |
| Product Management | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 11 |
| Senior | 3 |
| Manager | 2 |
| Junior | 1 |
| Mid-level | 1 |
Keyrock appears in 346 indexed job postings in JobCrawls' Finland dataset since October 2023. In that historical index, the strongest location signals for this employer are Remote - Global, Remote, and Brussels, Belgium.
Data shown is based on historical job postings from our database.
Job Details
Responsibilities
- Build streaming and batch pipelines
- Build self-serve tooling
- Own data contracts and schema evolution
- Design lakehouse and time-series layer
- Build and evolve Data Governance and Data Quality Framework
- Build derived analytics
- Make observability, cost, and performance first-class
- Treat infrastructure as code
- Work in the open
Requirements
- 8+ years of building production data systems
- Proficiency in Python and SQL
- Understanding of data modelling for streaming and analytical workloads
- Experience with Kafka, ClickHouse, lakehouse architecture, Docker, Terraform
Skills & Technologies
Education Level
None requiredRecruitment Process
- 1We’re after those with the right skills and a conscious choice to join our field.
- 2The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes.
- 3We are committed to building a positive and collaborative work environment.
- 4We welcome employees of all backgrounds, and hire, reward and promote based on merit and performance.
- 5We perform background checks on all potential employees.
