Senior Data Engineer (with Snowflake)

N-iX; Madrid; A distancia; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading technology firm in Madrid is seeking a Senior Data Engineer to build and optimize a Consumer Data Lake. You will transform consumer data into actionable insights while collaborating with talented teams. Ideal candidates have over 4 years experience in data engineering, strong Python skills, and proficiency in Snowflake. This role offers flexible working options and a competitive salary.

Servicios

Flexible working format

Competitive salary

Personalized career growth

Professional development tools

Education reimbursement

Memorable anniversary presents

Corporate events and team buildings

Formación

• Over 4 years of experience in data engineering demonstrating technical expertise and critical thinking.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling are essential.
• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities.
• In-depth understanding of privacy and security engineering within Snowflake.
• Ability to design, implement, and promote advanced solution patterns.

Responsabilidades

• Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
• Design and maintain efficient data models and schemas for a cloud-based data platform.
• Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Implement robust frameworks to monitor data quality, accuracy, and performance.

Conocimientos

DBT

Python programming

Snowflake

Data modeling

SQL

NoSQL

Apache Hive

S3

Hadoop

Spark

Kafka

Educación

Bachelor's or Master's degree in Data Science, Computer Science, Economics or related discipline

Herramientas

Apache Pig

Big Data tools

Descripción del empleo

Join an exciting journey to create a greenfield cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify process and leverage consumer data from various systems unlocking advanced analytics insights and personalization opportunities. As a Senior Data Engineer you will play a pivotal role in shaping and implementing the platforms architecture focusing on hands-on technical execution and collaboration with cross-functional teams.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges youll innovate within a collaborative environment alongside skilled architects engineers and leaders.

Key Responsibilities

• Hands-On Development : Build maintain and optimize data pipelines for ingestion transformation and activation.
• Create and implement scalable solutions to handle diverse data sources and high volumes of information
• Data Modeling & Warehousing : Design and maintain efficient data models and schemas for a cloud-based data platform.
• Develop pipelines to ensure data accuracy integrity and accessibility for downstream analytics.
• Collaboration : Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners to align data solutions with business needs.
• Collaborate with global teams to integrate data from diverse platforms ensuring scalability security and accuracy.
• Platform Development : Enable data readiness for advanced analytics reporting and segmentation.
• Implement robust frameworks to monitor data quality accuracy and performance.
• Testing & Quality Assurance : Implement robust security measures to protect sensitive consumer data at every stage of the pipeline
• Ensure compliance with data privacy regulations (e.g. GDPR CCPA ..) and internal policies.
• Monitor and address potential vulnerabilities ensuring the platform adheres to security best practices.

Requirements

• Over 4 years of experience showcasing technical expertise and critical thinking in data engineering.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling are essential.
• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
• In-depth understanding of privacy and security engineering within Snowflake including concepts like RBAC dynamic / tag-based data masking row-level security / access policies and secure views.
• Ability to design implement and promote advanced solution patterns and standards for solving complex challenges.
• Familiarity with multiple cloud platforms ( Azure or GCP preferred with a focus on Azure).
• Practical experience with Big Data batch and streaming tools.
• Competence in SQL NoSQL relational database design (SAP HANA experience is a bonus) and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale including scripting web scraping API integration and SQL querying.
• Experience working in global environments and collaborating with virtual teams.
• A Bachelors or Masters degree in Data Science Computer Science Economics or a related discipline.

We offer

• Flexible working format - remote office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1

Senior IC