Databricks Data Engineer

LUZA Group; Lisboa; Híbrido; EUR 40 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work where possible

Equipment provided

Benefits plan

Resumo da oferta

Syffer is seeking a Data Engineer to migrate and optimize data pipelines across Bronze, Silver, and Gold layers within a modern Data Vault architecture.

You will collaborate with cross-functional teams, ensure data governance and quality, and support Databricks-based solutions. The role offers a hybrid work model and remote-friendly arrangements, with equipment and benefits.

Qualificações

• 4–5 years of experience in Data Engineering.
• Hands-on experience with Databricks (mandatory).
• Experience building and optimizing pipelines across layered data lake architectures (mandatory).
• Experience with data governance, including data catalog and data lineage implementation (mandatory).
• Familiarity with Data Vault modeling (preferred).
• Strong analytical and problem-solving skills.
• Fluent in English; Portuguese is a plus.

Responsabilidades

• Support the migration of an existing Azure Synapse architecture to Databricks.
• Build, optimize, and maintain data pipelines across Bronze, Silver, and Gold layers of a Data Vault architecture.
• Contribute to scalable and high-performance data engineering solutions.
• Support data governance initiatives, including data catalog and data lineage implementation.
• Ensure data quality, traceability, and governance are embedded within the new data platform.
• Collaborate with technical teams to modernize and optimize data processing capabilities.
• Hybrid work model.

Conhecimentos

Databricks

Data pipelines

Data governance

Analytical skills

Ferramentas

Databricks

Descrição da oferta de emprego

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

• -Support the migration of an existing Azure Synapse architecture to Databricks;
• -Build, optimize, and maintain data pipelines across the Bronze, Silver, and Gold layers of a Data Vault architecture;
• -Contribute to the development of scalable and high-performance data engineering solutions;
• -Support data governance initiatives, including data catalog and data lineage implementation;
• -Ensure data quality, traceability, and governance are embedded within the new data platform;
• -Collaborate with technical teams to modernize and optimize data processing capabilities;
• - Hybrid work model.

Who You Are:

• -4-5 years of experience in Data Engineering;
• -Hands-on experience with Databricks (mandatory);
• -Strong background in building and optimizing pipelines across layered data lake architectures (mandatory);
• -Experience with data governance, including data catalog and data lineage implementation (mandatory);
• -Familiarity with Data Vault modeling (preferred);
• - Strong analytical and problem-solving skills;
• -Experience with Databricks AI/ML capabilities is a plus;
• -Fluent in English; Portuguese is a plus.

What you'll get:

• - Wage according to candidate's professional experience;
• - Remote Work whenever possible;
• - Delivery of work equipment adjusted to the performance of functions;
• - Benefits plan;
  
• - And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?

Together we will promote uniquess!