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 high-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