Senior Data Engineer

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 currently looking for a Senior Data Engineer to join our team in Portugal!

Key Responsibilities

• Partner closely with data consumers (Analytics, Product, Business) to translate business requirements into scalable data solutions
• Design, build, and own
  - performance, reusable, and scalable data models for the data warehouse, enabling consistent
  - service analytics
• Develop and optimize complex data transformations using SQL and Python
• Own the full data lifecycle: ingestion, transformation, testing, deployment, monitoring, and documentation
• Ensure high data quality through validation, testing, and proactive issue detection
• Contribute to analytics enablement by preparing curated datasets suitable for advanced analysis and predictive use cases
• Work across a modern cloud data stack including Snowflake, Databricks, Airflow, Fivetran, AWS, and GCP (Big
  Query, Cloud Composer, Dataflow)

Skill Requirements

• 7+ years of experience as a Data Engineer or Software Engineer in a
  - paced,
  - driven environment
• Proven ability to lead
  -
  - end data engineering projects with minimal supervision
• Strong expertise in SQL and Python, with
  - on experience in data modeling and data warehousing
• Experience with transformation frameworks and orchestration tools such as dbt, Airflow, Cloud Dataflow
• Solid understanding of software engineering best practices applied to data (version control, testing, CI/CD)
• Strong experience building scalable data pipelines and warehouses using cloud platforms (Snowflake, AWS, GCP, Databricks/Spark)
• Hands-on experience with ETL/ELT processes, scheduling tools, and API-based data integrations
• Familiarity with data visualization tools (e. g. Looker, Tableau, Adobe Analytics, Power BI) to support analytics use cases
• Strong attention to detail and a proactive approach to identifying and resolving data quality issues
• Self-starter with strong ownership,
  - solving, communication, and stakeholder management skills

WHAT WE OFFER

Hybrid Work Model: We enhance flexibility, foster productivity, and facilitate a healthier
- life balance for our employees in Lisbon!

Meal Allowance: We provide a meal card of €10. 20 per workday.

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

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.

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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!

Should your application be successful, a member of our Talent Acquisition team will make contact with you shortly. If, however, you are not contacted regarding the position you applied for within 30 days, please consider that your application has not been successful for that role.