Cloud Data Engineer (d/m/f)

ams OSRAM; Funchal; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A global technology company is looking for a data engineer in Funchal, Portugal. In this role, you will collaborate with various stakeholders to design and implement data solutions, ensuring best practices are followed. The ideal candidate possesses a bachelor's degree, a minimum of 5 years in cloud data technologies like Snowflake, strong SQL and Python skills, and is fluent in English. Attractive salary and flexible working hours are offered.

Serviços

Attractive salary

Flexible working hours

Training opportunities

Coaching and mentoring

Qualificações

• Minimum 5 years of experience with cloud data warehouse technologies.
• Hands-on experience in data warehouse modeling with data vault 2.0 or star schema.
• Fluent in English for global communication.

Responsabilidades

• Work with data scientists and stakeholders to understand data needs.
• Design and implement cloud-based data solutions.
• Develop and document best practices.

Conhecimentos

Data modeling

SQL

Python

Data warehouse technologies

Cloud-based data solutions

ETL frameworks

PowerBI

Agile methodologies

Problem-solving

Communication skills

Formação académica

Bachelor's degree in Computer Science or related

Ferramentas

Snowflake

Databricks

Apache NiFi

Azure Data Factory

dbt

Apache Airflow

Descrição da oferta de emprego

Job description:

• Work closely with data scientists, business analysts and other stakeholders to understand their data requirements and translate them into technical specifications and data models.
• Collaborate with data architects to design and implement cloud-based data solutions that align with business needs.
• Facilitate internal knowledge sharing to ensure team members are informed about the latest best practices.
• Implement scalable and robust data pipelines from various source systems.
• Apply business rules and transformations using SQL or Python.
• Secure data models applying object and row level security.
• Develop and document best practices and ensure they are effectively implemented across the team.
• Analyze and address issues related to data integrity, data design and both functional and technical aspects of the Cloud Data Warehouse.
• Communicate effectively about issues, solutions, and best practices with relevant stakeholders.
• Perform cost and performance-based optimization of data transfer processes.
• Continuously monitor and improve the efficiency and performance of data pipelines.

Profile description:

• Bachelor’s degree and above in Computer Science, Software Engineering or similar.
• Minimum 5 years of related working experience with cloud data warehouse technologies, preferably Snowflake and/or Databricks.
• Hands-on experience in data warehouse modelling preferably with data vault 2.0 and/or star schema.
• In-depth understanding of relational databases (SQL) and ETL (Extract, transform, load) frameworks.
• Experienced in data staging with SQL and Python, data visualization with tools such as PowerBI, data integration using Apache NiFi, Theobald Universal Xtract, and Azure Data Factory, as well as orchestrating data pipelines with dbt and Apache Airflow.
• Good understanding of agile methodologies like SCRUM.
• Problem-solving attitude and excellent communication skills.
• Excellent organizational skills with the ability to communicate project goals and objectives, project status and deliverables with senior executives. Participate with the management team in developing a vision and strategic plan to guide the organization.
• Fluent in English for communicating with global teams and stakeholders.

We offer:

• Attractive salary
• Flexible working hours
• Training opportunities & structured onboarding and development planning
• Opportunity for coaching, mentoring and networking

ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.