Senior/Lead Data Engineer

emagine

Remoto

We are seeking a skilled Senior / Lead Data Engineer with expertise in cloud-native data pipeline development within Microsoft environments. The ideal candidate will have a strong background in data architecture, data modelling, and the ability to implement high-performance data solutions that support our business objectives. You will play a key role in driving data-driven decision-making and enabling scalable analytics solutions across the organization.

Required Qualifications to be successful for both roles (Senior/Lead profiles):

Technical Skills:

Strong experience in end-to-end data architecture and design, including ingestion, modeling, storage, and orchestration (e.g., Medallion).
Proficiency in cloud-native engineering, with a focus on Microsoft technologies (Fabric, Azure Data Factory, Synapse) but open to other cloud platforms (AWS, Google Cloud) with comparable tools.
Hands-on experience with data warehousing and data lake solutions (e.g., BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift).
Proficiency in programming languages such as Python (with data-related libraries: e.g., Pandas, Boto3), SQL, or Spark.
Strong knowledge of RDBMS (e.g., Oracle, MS SQL Server) or NoSQL databases (e.g., MongoDB, ElasticSearch, GBQ).
Experience with DevOps/DataOps practices, including CI/CD pipelines.
Ability to implement data validation, lineage, documentation, and monitoring at scale.
Proven ability to optimize pipelines and storage solutions for performance, cost, and reliability.

Soft Skills:

Ability to evaluate trade-offs and make clear, defensible technical choices.
Translate complex engineering decisions into clear, accurate explanations for non-technical stakeholders.
Uplift and mentor mid/junior engineers, enforce standards, and foster a collaborative technical culture.
Break down ambiguous, complex problems into clear, actionable steps and drive them to resolution.
Take responsibility for outcomes, anticipate issues, and drive long-term platform evolution.

Experience:

Minimum 5 years of experience in data engineering, with a focus on cloud-native solutions and data architecture.
English proficiency should be at least B2 level.

We want to remind you that it is crucial to validate the following points before sharing any candidate:

Work model: 2 days per week in the office and 3 days at home.