Descrição da Função

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)

Localização

• Lisboa, Portugal