Senior Data Engineer - Data Lake Migration & Modernization - Gaming

ERNI; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications covered

Private health insurance

Sick leave coverage

Emotional support

Flexible remuneration

Referral bonuses

Vacation days

Language courses

Descripción de la vacante

ERNI is seeking a senior Data Engineer to accelerate a data platform modernization in Madrid, working with AWS services (S3, Athena, Redshift, Lambda), Apache Iceberg, Python, SQL, and DuckDB to improve scalability and governance.

You will collaborate with a team, mentor others, and contribute to a cloud-native data ecosystem while enjoying a hybrid work model and strong support from the ERNI community.

Formación

• 4 to 6+ years of experience in Data Engineering and cloud-native data platforms.
• Hands-on experience with AWS services such as S3, Athena, Redshift and Lambda.
• Experience working with Apache Iceberg, Delta Lake or Hudi and strong knowledge of data modeling, partitioning and schema evolution.
• Proficiency in Python, SQL, DuckDB or similar transformation technologies and Docker.
• Experience with Git and performance optimization of analytical workloads.

Responsabilidades

• Migrate datasets and pipelines to an Apache Iceberg architecture.
• Develop Python-based data processing jobs and SQL transformations with DuckDB.
• Optimize performance and cost efficiency, manage Redshift data structures and views.
• Participate in testing and code reviews, and ensure documentation and knowledge transfer across the project.

Conocimientos

AWS S3

Athena

Redshift

Iceberg

Python

SQL

DuckDB

Git

Performance optimization

Herramientas

Docker

Descripción del empleo

Can you imagine accelerating a large-scale Data Lake modernization project while working with AWS and Apache Iceberg?

Join our expert team to work on a Data Platform Modernization initiative, contributing to the migration and evolution of a cloud-native data ecosystem. You will apply your knowledge of AWS, Apache Iceberg, Python, DuckDB and SQL to improve scalability, governance, performance and reliability across the platform. At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.

At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.

How do we make this happen?

With people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months.

And the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals.

At ERNI, we highly value experience and technical knowledge. As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts.
And if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart.

What you will bring

• 4 to 6+ years of experience in Data Engineering and cloud-native data platforms.
• Hands-on experience with AWS services such as S3, Athena, Redshift and Lambda.
• Experience working with Apache Iceberg, Delta Lake or Hudi and strong knowledge of data modeling, partitioning and schema evolution.
• Proficiency in Python, SQL, DuckDB or similar transformation technologies and Docker.
• Experience with Git and performance optimization of analytical workloads.

You will be responsible for accelerating the migration of datasets and pipelines to an Apache Iceberg architecture while developing Python-based data processing jobs and SQL transformations with DuckDB. You will optimize performance and cost efficiency, manage Redshift data structures and views, participate in testing and code reviews, and ensure proper documentation and knowledge transfer across the project.

What if the project ends?

We work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.

Our working model

We ask you to be available for key meetings. Need to leave for a doctor’s appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40-hour workweek.

Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other’s faces; the best stories always happen in the office!

You will also enjoy:

• We cover your certifications and reward technical achievements up to €1,500.
• Private health insurance.
• Full coverage for sick leave
• Free emotional, legal, and family support.
• Gym discounts or sports compensation.
• Flexible remuneration: meals, transport, childcare, etc.
• Referral bonuses: up to €6,000 per candidate and €5,000 per client.
• 23 working days of vacation.
• Free language courses: English, Spanish, Catalan and German.

And the salary?

We will discuss it during the first call. If it is important to you, feel free to ask!