Senior/Lead Data Engineer

Equação IT is a company focused on boosting technology and solid solutions through our expert consultants leading a high perspective and adding value to our customers with the purpose of providing optimization and business growth to our partners.

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.

Technical Skills:
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.

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.

• Duration: Long Term Contract.
• Localization: Hybrid, Lisbon (2 days per week in the office)