Senior Data Engineer (Azure & Microsoft Fabric)
LUZA Group · Portugal
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
- What a data engineer actually earnsmedian, seniority, by country
- Alternative careers for a data engineerevery measured route out
- Data Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer31% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 36 open data architect roles92% readiness from data engineer
- 281 open data analyst roles60% readiness from data engineer
- 556 open solutions architect roles59% readiness from data engineer
- 34 open database administrator roles58% readiness from data engineer
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