Job details:

• Hybrid, 2x a week onsite in Lisbon
• Start date: asap
• Duration: 1 year
• Extensions possible
• Full-time

We are seeking a skilled 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.
 

Requirements:

• Minimum 8 years of experience in data engineering, with a focus on cloud-native solutions and data architecture.
• Strong experience in end-to-end data architecture and design, including ingestion, modeling, storage, and orchestration (ex. 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.
• Strong technical leadership experience, with proven ability to guide teams and communicate effectively.
• 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.
• English B2

SNI sp. z o.o. will process personal data for the purpose of the recruitment process in accordance with Data Privacy Policy. The data may also be stored and processed for future recruitment purposes, in accordance with the given consent.