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Syffer logo

Lead Data Engineer

Syffer
Posted May 27, 2026, 8:56 PM UTC
🇵🇹Portugal🏢Hybrid📁Data & Analytics
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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: - Develop cloud-native data pipelines within Microsoft environments; - Implement high-performance data solutions that support business objectives; - Drive data-driven decision-making across the organization; - Enable scalable analytics solutions; - Uplift and mentor mid/junior engineers, enforce standards, and foster a collaborative technical culture; - Hybrid work model; Who You Are: - 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; - 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; - Fluent in english;  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!

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