SENIOR DATA ENGINEER &TRAINING LEAD

The Information Lab Italy; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Learning & Development budget

International conferences

International travel

Hybrid work model

Young and collaborative team

Descripción de la vacante

Nimbus Intelligence is seeking a Senior Data Engineer & Training Lead to join a hybrid, strategic role spanning technical consulting, training, and commercial support. You will work across pre-sales, delivery, and Nimbus Academy, shaping architectures on Databricks and Snowflake while mentoring junior engineers.

You will design training programs for data engineers in Italy, Spain, and beyond, lead knowledge sharing, participate in recruitment, and help grow Nimbus Intelligence's brand via events

Formación

• 5+ years of data engineering experience in consulting environments.
• Deep-dive knowledge of Databricks and Snowflake architectures.
• Proficient in Python and SQL; experienced with dbt.
• Experience with cloud platforms (Azure, AWS, GCP) and DataOps practices.
• Strong communication, mentoring, and client-facing skills.

Responsabilidades

• Lead pre-sales technical consulting and client meetings.
• Oversee complex data-engineering projects and ensure quality.
• Design and deliver Nimbus Academy training for data engineers.
• Mentor junior engineers and contribute to recruiting and growth plans.

Conocimientos

Databricks

Snowflake

Python

SQL

DataOps

Git

Data quality

Data observability

Data governance

Data mesh

Herramientas

dbt

Matillion

Alteryx

Azure

AWS

GCP

Delta Lake

Unity Catalog

Descripción del empleo

What will you do?

As a Senior Data Engineer & Training Lead, you will have a hybrid and strategic role within Nimbus Intelligence, with responsibilities ranging from technical consulting to training and commercial support. Specifically, you will be responsible for:

Pre-Sales and Consulting

• Supporting the commercial team in the pre-sales phase by analyzing client needs and proposing innovative technical solutions based on modern data platforms (Databricks, Snowflake) and scalable architectures.
• Participating in meetings with prospects and clients as a senior technical consultant, demonstrating the value proposition of our solutions.
• Contributing to the definition of technical proposals, architectures, and project estimates.

Delivery and Mentorship

• Acting as a senior consultant on the most complex data engineering projects, ensuring technical quality and excellence in implementation.
• Serving as a reference point and mentor for junior data engineers, guiding them in solving technical challenges and developing their skills.
• Conducting code reviews, defining best practices, and ensuring the adoption of high-quality standards.
• Supporting the international team across different locations, sharing expertise and best practices.

Training and Academy

• Designing and updating the training program for Nimbus Academy for data engineers, with a focus on Databricks, Snowflake, dbt, and complementary technologies.
• Teaching and training trainee groups in Italy, Spain, and other countries within the Nimbus group.
• Organizing knowledge-sharing sessions to keep the team up-to-date on the latest technological developments.
• Contributing to the growth of Nimbus Intelligence's brand awareness through events, webinars, and technical content.

Recruitment and Talent Development

• Participating in the recruitment process for new data engineers, creating technical assessments, and conducting interviews.
• Contributing to the definition of professional growth paths for the team.

What do we expect from you?

Technical Skills

• Proven experience and strong knowledge in the field of data engineering.
• Excellent knowledge of Databricks (lakehouse architecture, Delta Lake, Spark, Unity Catalog, Databricks SQL).
• Excellent knowledge of Snowflake (data modeling, optimization, performance tuning, Snowpipe, Stream & Tasks).
• Strong experience with dbt (data modeling, testing, documentation, orchestration).
• Proven expertise in Python and SQL.
• Experience in implementing modern data platforms and architectures (medallion architecture, data mesh, data vault, etc.).
• Knowledge of ETL/ELT tools (Matillion, Alteryx, or similar) and cloud platforms (Azure, AWS, GCP).
• Familiarity with DataOps practices, CI/CD for data pipelines, and code versioning (Git).
• Experience with data quality, data observability, and governance.

Professional Experience

• At least 5 years of experience in data engineering roles.
• Proven experience in consulting environments, with the ability to understand client needs and translate them into technical solutions.
• Experience in designing and optimizing data warehouses, data lakes, and complex pipelines on Databricks and/or Snowflake.
• A track record of success in training and transferring technical knowledge.

Soft Skills

• Excellent communication and presentation skills, with clients and stakeholders at different levels.
• Mentoring attitude and passion for the growth of junior colleagues.
• Entrepreneurial mindset, proactivity, and results-oriented.
• Ability to work independently and manage multiple priorities.
• Enthusiasm and the ability to inspire others.

Language Requirements

• Native Italian or Spanish.
• Knowledge of the other language (Italian or Spanish) is a plus.
• Excellent knowledge of English (required).

What do we offer?

At Nimbus Intelligence, you will find a dynamic and innovative environment where you will have the opportunity to grow professionally and contribute to the success of our team and clients.

In addition, we offer:

• Competitive salary based on experience.
• Dedicated budget for Learning & Development.
• Opportunities to attend international conferences and industry events.
• An international work environment, with the possibility to travel to our offices in the Netherlands, Italy, and Spain.
• Hybrid work model with flexibility.
• A young, ambitious, and collaborative team.
• The opportunity to make a difference in a fast-growing company.

Do you recognize yourself in this profile?

Our organization operates with a commitment to gender equality and inclusivity, promoting diversity.