Senior Data Engineer

one.five GmbH; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

An innovative company seeks a Senior Data Engineer to architect and develop a robust data platform. This role involves leading the design and implementation of data infrastructure, optimizing data models, and fostering a strong analytics culture. Collaborate with cross-functional teams while managing cloud services and mentoring junior staff. If you're passionate about data engineering and thrive in a remote-first environment, this opportunity is perfect for you. Join a team dedicated to protecting the planet through sustainable practices and cutting-edge technology.

Formación

• 3+ years in data engineering and platform architecture.
• Experience with data modeling and database design.
• Proficient in SQL and Python-based ETL pipelines.

Responsabilidades

• Lead the design and implementation of the data platform.
• Engage in data modeling for third-party data collection tools.
• Oversee and mentor juniors or interns in best practices.

Conocimientos

Data Engineering

Data Platform Architecture

Data Modeling

SQL

Python ETL Pipelines

Cloud Services

Collaboration

Adaptability

English Proficiency

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

Google Cloud Platform

AWS

Descripción del empleo

We are seeking a Senior Data Engineer to own the architecting and development of our core data platform, including the architecting of our data warehouse and data infrastructure, co-own and supervise the data modelling in our data collection tools as well as support diverse data systems integrations.

Please note this is a Remote First role and we are open to candidates + / - 2hrs CET, however we have a preference for Spain or Germany based candidates due to company registered locations.

How you'll help build one Data Platform

1. Ownership: Lead the design and implementation of our data platform, ensuring scalability and robustness.
2. Data Modelling: Engage in data modelling for third-party data collection tools like Benchling, optimizing data structures for effective data integration and utilization. Support stakeholders owning third-party data collection tools (ERPs, CRMs, etc) by providing insights and recommendations to make their data models more robust.
3. Data Visualization and Analytics culture: Foster a strong data analytics culture by developing and implementing a robust data analytics layer to support insights generation, ML development and analytics dashboards.
4. Cloud Infrastructure Management: Participate in managing our cloud infrastructure to support data operations and application needs effectively.
5. Strategic Planning: Actively contribute to discussions and development of the Tech roadmap, aligning technology initiatives with business goals.
6. Supervision and Mentorship: Oversee and mentor juniors or interns, ensuring adherence to best practices and maintaining high-quality codebases.
7. Cross-Domain Collaboration: Work closely with Domain experts to model data after business logic. Engage with Software Engineers and Data Scientists to ensure seamless integration of cloud services, including data pipelines and machine learning services.

Who you are

1. You have at least 3 years of proven experience in data engineering and data platform architecture, particularly in startup and scale-up environments.
2. You are very experienced in data modeling and database design for diverse types of data and uses. Plus if you have experience modelling scientific data.
3. Demonstrated ability to lead challenging projects in research or similar organizations.
4. You thrive in collaborative settings, valuing open-minded communication and consensus with peers.
5. Proficient in SQL and building Python-based ETL pipelines.
6. Advanced knowledge of cloud services and infrastructure, with hands-on experience in Google Cloud Platform or AWS preferred.
7. You enjoy working with cross-functional teams in remote / hybrid environments.
8. You have working knowledge of English, as this is our business language.
9. Ability to adapt to rapidly changing technology landscapes and business needs.
10. Eagerness to continuously learn and update skills in line with the latest industry trends.
11. Optional: experience working with or modelling materials engineering / chemistry / biological data.

Our Values

1. Duty to care: Care for yourself, your colleagues, your work, our offices, and ultimately, our planet.
2. Create with intent: Work with a goal in mind. Ask yourself what you are trying to achieve and constantly evaluate whether your current path is the best way to achieve this goal.
3. Acknowledge the process: We celebrate our failures and successes together, and keep iterating to improve.
4. Transparency: All knowledge is accessible to everyone.

Diversity & Inclusion

We are very proud of the culture we have built to support diversity & inclusion and will do everything we can to continue to be an inclusive company where all team members are comfortable, supported and empowered to succeed.

We seek to ensure that all employees are afforded equal opportunities and treatment, irrespective of any qualifier, in all aspects of recruitment, employment, training and determination of benefits.

For sake of clarity, all team members and candidates will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

If you require any accommodations for the interview process, please include them in your application or in scheduling requests for a first call.

About us: Protecting our planet by developing materials for clean & closed material loops.

Barcelona, Catalonia, ES