Data Engineer

Data Engineer Application Deadline : 30 September 2025

Department : Graduates

Employment Type : Permanent - Full Time

Location : Madrid

Description We are looking for a Data Engineer to join our growing team of data experts. As a Data Engineer , you will be responsible for designing, implementing, and optimizing data pipeline flows within the system. You will support our data scientists with the implementation of the relevant data flows based on the data scientist’s features design and construct complex rules to detect money laundering activity.

The ideal candidate has experience in building data pipelines and data transformations and enjoys optimizing data flows and building them from the ground up. They must be self-directed and comfortable supporting multiple production implementations for various use cases.

Key Responsibilities Implement and maintain data pipeline flows in production within the system based on the data scientist’s design

Design and implement solution-based data flows for specific use cases, enabling the applicability of implementations within the product

Building a Machine Learning data pipeline

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

Work with product, R&D, data, and analytics experts to strive for greater functionality in our systems

Train customer data scientists and engineers to maintain and amend data pipelines within the product

Travel to customer locations both domestically and abroad

Build and manage technical relationships with customers and partners

Skills, Knowledge & Expertise 2+ years of Hands-on experience working with Apache Spark with Pyspark or Scala - must

Hands-on experience with SQL

Hands-on experience with version-control tools such as GIT

Hands-on experience with Apache Hadoop Ecosystem including Hive, Impala, Hue, HDFS, Sqoop etc..

Hands-on experience with data transformation, validations, cleansing, and ML feature engineering

BSc degree or higher in Computer Science, Statistics, Informatics, Information Systems, Engineering, or another quantitative field

Experience working with and optimizing big data pipelines, architectures, and data sets - an advantage

Strong analytic skills related to working with structured and semi-structured datasets

Business-oriented and able to work with external customers and cross-functional teams

Fluent in English & Spanish both written and spoken

Benefits Private healthcare via Cigna

Lunch vouchers via Cobee

Flexible remuneration plan

Online discount platform

Competitive employee referral program

Generous annual leave plan

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