Lead Data Engineer for an International company 

Kon’nichiwa!

At IKIGAI Talent, we are managing a Lead Data Engineer role for a leading data-intelligence company specialized in international trade, now expanding its presence across Europe.
 

Responsibilities

• Operate, maintain, and optimize the automated raw data pipeline (ingestion, validation, transformation, normalization, and loading).
• Design and implement scalable and parameterized ETL/ELT processes by country, ensuring operational independence.
• Develop and improve incremental data cleansing and SoT (Source of Truth) workflows.
• Monitor data quality through automated metrics and alerts, ensuring consistency, integrity, and completeness.
• Contribute to the design and continuous evolution of the company’s data architecture, including data warehouse, data lake, and system integration flows.
• Provide technical support to the product, reporting, and AI teams (chatbot, dashboards, APIs).
• Promote best practices in documentation, version control, testing, and code review.

Requirements

• Senior profile (minimum 5 years of total experience in data engineering; 2+ years in technical leadership or data architecture).
• Strong knowledge of programming languages: Python (Pandas, Airflow, FastAPI) and SQL (BigQuery, CloudSQL).
• Solid understanding of data warehouse and data lake design — schema design, partitioning, data modeling, and metadata management.
• Experience in data quality and cleansing: Regex, fuzzy matching, and basic ML (scikit-learn, spaCy).
• Proven experience in automation: CI/CD (GitHub Actions / GitLab CI), scripting, and structured logging.
• Hands-on experience with version control and documentation tools such as Git, Notion, Confluence, or Basecamp.
• Degree in Systems Engineering, Computer Science, or Data Science.
• Technical English (for documentation and international vendors) and fluent Spanish.

Benefits

• Competitive compensation, aligned with experience and the senior tech market in Spain.
• Collaborative and flexible culture: remote, dynamic, and global environment that values initiative and critical thinking.
• Career growth opportunities: potential to evolve into a leadership role within the Data area.

If you believe you are the ideal candidate for the Data Analyst role, do not hesitate to apply to the offer with your LinkedIn profile or uploading your CV. 

We will contact you very soon! 

Truthfully, your People Partner