Who we are:
With over 25 years of experience, Sysmatch is a well-established name in IT Consultancy and Outsourcing, involved in both national and international projects that promote excellence in technology and services. Our secret? A team that blends talent, creativity, and experience to deliver robust, scalable, and tailored solutions.
We're not just tech experts — we're partners who support our clients' transformation, anticipate trends, and drive their evolution. Flexibility, innovation, and a forward-thinking mindset are part of our DNA.
We're hiring:
Data Engineer – Hybrid (Lisbon)
What we are looking for:
o Strong experience in end-to-end data architecture and design, including ingestion, modeling, storage, and orchestration (ex. Medallion).
o 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.
o Hands-on experience with data warehousing and data lake solutions (e.g., BigQuery, Azure Data Lake, Delta Lake, Amazon Redshift).
o Proficiency in programming languages such as Python (with data-related libraries: e.g. Pandas, Boto3), SQL, or Spark.
o Strong knowledge of RDBMS (e.g., Oracle, MS SQL Server) or NoSQL databases (e.g., MongoDB, ElasticSearch, GBQ).
o Experience with DevOps/DataOps practices, including CI/CD pipelines.
o Ability to implement data validation, lineage, documentation, and monitoring at scale.
o 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.
What we offer:
A personalized onboarding experience that welcomes and supports you throughout your journey.
Regular and constructive feedback to boost your growth and development.
A dynamic project with a prestigious international client.
A competitive salary package, aligned with your experience and skills.
Career development opportunities through ambitious and innovative tech projects.
A collaborative culture that values creativity and individual progress.
Access to exclusive discounts in a wide network of partners, including health, wellness, travel, culture, gastronomy, leisure and much more.
Team-building events and initiatives that create memorable shared experiences.