Engineering manager (Data Direction)
Europe | Full-time
Responsibilities
- Lead and develop cross-functional data and platform teams
- Own delivery, quality, and technical outcomes for the data platform
- Partner closely with Product, Analytics, Data Science/ML, and Senior Engineering leadership to translate business and AI requirements into a scalable platform roadmap
- Drive and evolve data engineering processes, including planning, estimation, CI/CD for data, testing and data quality, code reviews, and release management
- Contribute to architectural decisions for data systems running on hybrid infrastructure (batch + streaming, lakehouse, and beyond)
- Ensure high availability, performance, data reliability, and observability of production pipelines and platform services
- Embed security, privacy, data lineage, and regulatory compliance into the platform by design
- Identify and reduce technical and data debt while maintaining delivery velocity
- Mentor engineers, support career growth, conduct 1:1s and performance conversations
- Participate in hiring and team scaling initiatives
- Foster a culture of ownership, collaboration, data quality, customer focus, and continuous improvement
Requirements
- 5+ years of professional software or data engineering experience
- Experience leading engineering teams as an Engineering Manager, Team Lead, or similar leadership role
- Strong data/software engineering background with the ability to engage in technical discussions and data architecture decisions
- Experience delivering complex data systems or platforms in production environments
- Background in financial systems, FinTech, or other high-reliability, regulated domains
- Strong understanding of data platform and backend systems – data modeling, distributed data processing, and pipeline orchestration
- Hands-on experience with the modern data stack: batch and streaming processing, orchestration, and warehousing/lakehouse
- Knowledge of CI/CD pipelines, infrastructure automation, and deployment strategies for data workloads
- Familiarity with data observability (data quality, metrics, logging, alerting, lineage) and performance monitoring
Will be a plus
- Experience building platforms that serve AI/ML workloads (feature stores, MLOps, model-serving, vector/embedding stores)
- Experience with low-latency or high-throughput data systems
- Exposure to trading, fintech, or market-data platforms
- Experience with data governance, security, and regulatory compliance (PII handling, audit, lineage) in financial environments
- Experience scaling data and engineering teams and organizations
We offer
- 20 paid vacation days per year
- 10 paid sick leave days per year
- Public holidays as per the company’s approved Public holiday list
- Medical insurance
- Opportunity to work remotely
- Professional education budget
- Language learning budget
- Wellness budget (gym membership, sports gear and related expenses)