7 дней назад
Staff Data Engineer (Python/SQL)
75 000 - 85 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Engineer (Python/SQL): Designing and scaling Qualifyze's operational and analytical data platforms, pipelines, and data products with an accent on data architecture, quality, and software engineering practices. Focus on leading architectural decisions, optimizing PostgreSQL workloads, building reliable ETL/ELT workflows, and mentoring Data Engineers.
Location: Barcelona, Spain; hybrid working with the ability to commute to the Barcelona office a couple of times a week if needed. Up to three months per year may be worked from anywhere.
Salary: €75,000–€85,000 annually
Company
provides supply chain compliance management solutions for the Life Sciences industry, connecting manufacturers, suppliers, auditors, and quality experts through digital products and data analytics.
What you will do
- Define the technical vision and architecture for the data platform.
- Design scalable, reliable, and maintainable data solutions supporting operational and analytical systems.
- Establish best practices for data architecture, modeling, quality, and engineering standards.
- Lead complex technical initiatives and make architectural decisions across multiple teams.
- Partner with Product, Engineering, and business stakeholders to translate needs into data solutions.
- Mentor Data Engineers and drive improvements in platform scalability, reliability, and efficiency.
Requirements
- Strong Python experience building tested and observable ETL/ELT pipelines, modular libraries, and tooling.
- Advanced SQL and PostgreSQL skills, including complex queries, performance tuning, indexing, and execution plans for OLTP and OLAP workloads.
- Strong experience with dbt for analytical data modeling, testing, documentation, and scalable project structures.
- Hands-on experience with Dagster or similar orchestration tools, including assets or jobs, dependency graphs, scheduling, monitoring, and incident handling.
- Knowledge of Docker and Kubernetes for deploying data services, batch jobs, and microservices in production.
- Strong understanding of dimensional modeling and the trade-offs between operational and analytical schemas. EU citizenship or an EU work permit is required.
Culture & Benefits
- Hybrid working model with up to three months per year working from anywhere.
- Country-specific vacation package that increases with tenure.
- Private healthcare, fitness, and meal allowances.
- Annual personal development budget.
- Competitive compensation reviewed annually.
- Equipment and tools for effective work, plus an annual in-person company event in Europe.
Hiring process
- Applications are reviewed manually by the Talent Acquisition team.
- Interviews and assessments are conducted through a human-led process; AI is used only for optional note-taking and transcription during interviews.
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