Senior Data Engineer (Azure & Microsoft Fabric)

LUZA Group · Portugal

RemoteWorkplace
2d agoPosted · Aug 16
HimalayasSource
Apply now Opens the original posting at LUZA Group. PivotHop does not host applications.

Skills in this posting

Extracted from the posting text by the instrument — the demand side, read literally.

The posting

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

Design and implement end-to-end data architectures (e.g., Medallion Architecture)

Build, maintain, and optimize ETL/ELT pipelines

Develop scalable data ingestion and transformation processes

Design and manage Data Lakes and Data Warehouses

Ensure data quality, governance, lineage, and monitoring

Implement CI/CD and DataOps best practices

Optimize storage solutions and data processing performance

Collaborate with technical and business stakeholders

  • Mentor junior and mid-level engineers

Drive continuous improvements to the data platform

Who You Are

5+ years of experience in Data Engineering

Strong expertise in end-to-end data architecture and design

Experience with Microsoft Azure (Fabric, Azure Data Factory, Synapse Analytics, Azure Data Lake)

Familiarity with equivalent services on AWS and Google Cloud Platform (GCP)

  • Proficient in Python, SQL, and Spark

Strong knowledge of relational and NoSQL databases

  • Skilled in DataOps and CI/CD practices

Experienced in data modeling, validation, lineage, and monitoring

Able to optimize data pipelines for performance, scalability, and cost efficiency

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!

Originally posted on Himalayas

Excerpt from the original listing. The full, current text lives at the source. Read and apply there →

The PivotHop read

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