Back to SearchSenior Data Engineer
Remote in Portugal
Data Software Engineering
& 7 others
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We are seeking a highly skilled Senior Data Engineer to join our team and contribute to building robust and efficient data solutions.
In this role, you will design, optimize, and maintain scalable data pipelines and warehouses while collaborating with cross-functional teams to deliver impactful data-driven results. This is an excellent opportunity to work on cutting-edge technologies and play a key role in advancing the organization's data capabilities.
Responsibilities
- Build and optimize data pipelines with automated testing, lineage tracking, and privacy-by-design principles
- Design, implement, and maintain data warehouses using SQL, Python, and ELT processes
- Set up monitoring, testing, backup, and recovery mechanisms to ensure data reliability and availability
- Enforce governance, security standards, role-based access control (RBAC), and data masking protocols
- Translate business needs into scalable and reusable data solutions
- Standardize ingestion and transformation processes for machine learning workflows, including feature preparation and monitoring drift and quality
- Develop and deploy scalable machine learning models and pipelines
- Create reusable components and maintain detailed documentation for data systems
- Promote reliability, maintainability, and scalability in data workflows while optimizing pipelines for AI training and evaluation
- Advocate for best practices and reusable patterns across teams
- Contribute to onboarding processes and build communities of practice within the organization
- Resolve complex challenges, perform root cause analyses, and enhance engineering standards
- Make informed decisions, escalate issues when necessary, and improve scalability and cost efficiency of data systems
- Align and influence cross-functional teams with minimal supervision
- Mentor peers and support the development of team capabilities
Requirements
- At least 3 years of proven experience in Data Engineering
- Expertise in SQL and ELT design, including core SQL, CDC patterns, and optimization techniques
- Proficiency in Snowflake performance tuning, secure data sharing, role-based access, and data masking
- Experience in developing Matillion jobs, shared components, and orchestration processes
- Knowledge of CI/CD workflows using Bitbucket and Jenkins for building, testing, deploying, and managing environments and versions
- Familiarity with data observability practices, including logging, alerts, and automated checks
- Hands-on experience with feature engineering for machine learning, dataset validation, and management of data contracts and roles
- Practical experience with EMR / Apache Spark for distributed data processing
- Proficiency in using AWS for scalable data ingestion, processing, and preparation for machine learning pipelines
- Ability to apply RAG principles for policy-aware grounding and design logical and physical data models
- Skilled in maintaining documentation, APIs, and reusable patterns while supporting onboarding and best practices
- Fluent English communication skills, written and spoken, at a B2+ level or higher
Nice to have
- Knowledge of real-time data streaming technologies like Apache Kafka or AWS Kinesis
- Exposure to Big Data ecosystems and tools such as Hadoop or Hive