Senior Data Engineer Lisboa

Senior Data Engineer
Lisboa
Lisboa, Lisboa, Portugal

ABOUT US

We are a
- growing,
- knit, dynamic, and successful Digital Services Company that specializes in providing support to large multinational companies for SEO, Product & Web Content Management, Social Media Management, Performance Marketing, E-Commerce Management, CRM & E-Mail Marketing Automation, DX & Development, Data Management & Analytics, Project Management, Digital Consultancy, and Recruitment.

As a multinational Dutch company, we have offices in Amsterdam, Istanbul, Lisbon, Kuala Lumpur, Bogota & Portland. With our exceptionally talented & diverse team, and our A+ client portfolio, the world is our oyster!

We are looking for a Senior Data Engineer to join our team.

RESPONSIBILITIES

• Lead the design, development, and optimization of complex data pipelines and ETL/ELT processes using batch and streaming approaches.
• Architect and manage scalable and secure data infrastructure across
  - cloud environments, including data lakes, data warehouses, and
  - time systems.
• Implement and maintain
  - time data ingestion and transformation pipelines using streaming technologies.
• Develop and manage RESTful APIs and data services to enable scalable and secure data integration across platforms.
• Collaborate with analysts, data scientists, and stakeholders to understand data needs and support advanced analytics workflows.
• Design
  - tolerant, highly available, and auditable data workflows with robust error handling and monitoring.
• Define and enforce data engineering standards, CI/CD practices, and data validation processes.
• Mentor junior engineers and provide technical leadership and architecture guidance across projects.
• Partner with data scientists to deploy ML models, integrate predictions into pipelines, and support model monitoring.
• Establish and enforce data governance practices, including lineage tracking, data quality checks, and privacy compliance (e. g. , GDPR).
• Contribute to and maintain data cataloging and metadata management systems to promote data discoverability.
• Integrate data workflows into CI/CD pipelines and automate deployment and monitoring using Dev
  Ops best practices.
• Build and run unit tests and integration tests for data processing workflows to ensure accuracy and robustness.
• Support performance optimization and
  - efficient scaling of
  - native data pipelines.
• Collaborate with BI teams to deliver
  - time dashboards and support data visualization with consistent and reliable data layers.
• Maintain comprehensive documentation for data assets, pipelines, infrastructure, and operational procedures.

QUALIFICATIONS

Education

• Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.
• Advanced English Level

Technical Skills

• Data Engineering & ETL/ELT: Minimum 5 years of experience designing and building scalable pipelines, performing data extraction, transformation, and loading from various sources.
• SQL (Advanced): Minimum 5 years of experience Writing complex and optimized queries for analytics, modeling, and transformations in a data warehouse environment.
• Cloud Data Platforms: 3–5+ years of
  - on experience with modern cloud data tools like Snowflake, Big
  Query, Databricks, AWS Glue, etc.
• CI/CD & Software Engineering Practices: Minimum 3 years of experience applying dev principles (e. g. version control, testing, modular code, Docker, Terraform, Jenkins).
• Advanced SQL/No
  SQL skills; experience with data warehouses and big data platforms.
• Proficient in Python, Java, or R.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools like Spark, Kafka, or Kinesis.
• Familiarity with
  - time data processing, Ia
  C tools (Terraform, Cloud
  Formation), and CI/CD integration.
• Understanding of data security, privacy regulations (e. g. , GDPR), and encryption best practices.
• Experience with monitoring, data cataloging, and lineage tools (e. g. , Data
  Hub, Amundsen).

Analytical & Strategic Thinking

• Skilled in solving complex data issues and optimizing performance.
• Ability to design scalable data strategies aligned with business goals.

Leadership & Collaboration

• Experience leading projects and mentoring engineers.
• Strong communicator, able to work across analytics, data science, and Dev
  Ops teams.
• Exposure to dashboarding tools (Power BI, Looker, Qlik) is a plus.

WHAT WE OFFER

Remote Work Model: We continue to prioritize flexibility, boost productivity, and support a balanced
- life environment for our employees! To further strengthen our collaboration, we’re introducing one office day a month for our employees based in Lisbon. If you’re not located in or near a city with an NMQ office or
- working space, there’s no expectation to attend — but you’re always welcome whenever you’re in the area!

Meal Allowance: We provide a meal card of €8, 32 per workday.

Private Health Insurance: We provide a private health insurance from Multi
Care Card.

Birthday Time Off: A
- day off is granted on birthdays.

Mental Health & Support : Free company subscription to our mental health & support partner ‘’Openup’’.

Referral Program: Our referral program ‘’Friends2Work’’ encourages our employees to refer their friends followed by a cash award once they are hired.

Self-Improvement: Access to numerous online courses and training in our own
- house training platform NMQ Academy & access to our exclusive Mentorship Program provided by our brilliant senior peers.

Team Environment: We give you to opportunity to work with global brands together with a fun, diverse, and dynamic team and become a part of a global success story!

If you are interested in joining our team, please apply with your CV in English.

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NMQ Digital is proud to be an
- opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Don't be discouraged if you feel that you don’t fully meet every single one of the requirements for a particular role, there is always room for growth in NMQ!