Senior Data Engineer

Amenitiz; España; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Performance bonus

Stock options

Health insurance

Holiday allowance 25/28/30

Lunch stipend (€10/day)

Flexible benefits

On-demand salary access

Team library access

International team

Job summary

Amenitiz is seeking a Senior Data Engineer to lead the design and scaling of our data infrastructure, ensuring secure, high-quality data for cross‑company teams. You’ll design and optimize pipelines, own core data models, and implement governance and quality standards to power data-driven decisions.

You will mentor engineers, drive architecture discussions, and collaborate with product, engineering, analytics, and data science to scale the data foundation as the business grows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in data engineering with a track record of scaling infrastructure.
• Expert-level SQL and strong proficiency in Python.
• Hands-on experience with modern data platforms (BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, dbt).
• Strong knowledge of cloud architectures (GCP, AWS, or Azure) and distributed systems.

Responsibilities

• Lead the design and implementation of scalable, secure data pipelines.
• Architect and optimize ELT workflows in dbt.
• Own the integrity, structure, and performance of core data models in Redshift, Snowflake, or BigQuery.
• Implement data governance, observability, and quality across pipelines.
• Integrate diverse data sources, APIs, and third-party platforms.
• Collaborate with product and engineering to evolve data architecture.
• Monitor, troubleshoot, and optimize pipeline performance; drive data platform strategy.
• Mentor junior engineers through code reviews and technical coaching.

Skills

SQL

Python

Data pipelines

Cloud architectures

Airflow

dbt

Education

Bachelor’s or Master’s degree in CS/Engineering

Tools

BigQuery

Snowflake

Redshift

Job description

About the role

At Amenitiz, data is at the core of how we grow, make decisions, and deliver value to our customers. As a Senior Data Engineer , you’ll take the lead in architecting and scaling our data infrastructure, ensuring that teams across the company have secure, reliable, and high-quality access to data. You’ll design and optimize pipelines, own core data models, and implement governance and quality standards that will shape the future of our platform. Beyond the technical side, you’ll mentor junior engineers, lead design discussions, and collaborate with product, engineering, analytics, and data science to ensure our data foundation scales with the business. Your work will directly power data-driven decision-making at Amenitiz.

Your missions

• Lead the design and implementation of scalable, secure, and reliable data pipelines.

• Architect and optimize ELT workflows in dbt , ensuring modularity, performance, and adaptability to evolving business needs.

• Own the integrity, structure, and performance of core data models in Redshift , balancing usability for stakeholders with technical scalability.

• Implement and drive standards for data governance, observability, and quality across all pipelines.

• Efficiently integrate diverse data sources, APIs, and third‑party platforms.

• Partner with engineering and product teams to deliver improvements to data architecture aligned with company goals.

• Monitor, troubleshoot, and proactively optimize pipeline performance, including incident response and root cause analysis.
  Contribute to the long‑term data platform strategy , including evaluations of new tools, standards, and design patterns.

• Mentor junior engineers through code reviews, technical coaching, and knowledge sharing.

About you

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 5+ years of experience in data engineering , with a strong track record of scaling infrastructure in fast‑growing environments.

• Expert‑level SQL and strong proficiency in Python (or other data‑related programming languages).

• Hands‑on experience with modern data platforms (e.g. BigQuery, Snowflake, Redshift ) and orchestration tools (e.g. Airflow, dbt ).

• Strong knowledge of cloud architectures (GCP, AWS, or Azure) and distributed systems.

• Familiarity with data privacy, security, and governance frameworks.

• A proactive problem‑solving mindset, able to diagnose complex issues and drive solutions.

• Excellent communication and leadership skills, with experience leading cross‑team projects and mentoring engineers.

Our Offer

• Competitive salary + performance bonus tied to forecast accuracy and GTM outcomes

• Stock options with a progressive vesting schedule

• Comprehensive health insurance

• 25 days of holidays from day one, rising to 28 after your first year and 30 after two years

• €10 a day for lunch through our virtual canteen, Kombo, every day you work from the office

• Flexible benefits - save on meals, childcare, transportation, and training with our tailored remuneration options

• On‑demand salary access - no need to wait until the end of the month

• Any book, purchased for you, plus access to a shared team library

• An international team of 35+ nationalities based in one of Europe’s leading tech hubs