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Senior Data Engineer / ETL & Big Data Specialist (Financial Sector)

Remote from Spain·Added 3 days ago

AD4 Octógono

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Overview

Job details

Fully remote
Per the ad.

Requirements

Have the right to work in Spain
AD4 Octógono doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Have 4+ years of experience
Mid-level role.

This job was automatically translated to English.

Requirements

What we're looking for

General Experience: Minimum 4 years of experience in the role (5+ years in ETL implementation preferred).
Big Data Ecosystem:
3+ years of demonstrable experience in Spark.
3+ years of experience in Scala.
BI & Analytics Platforms: +2 years of experience in BI tools (Databricks, Power BI, Starburst, etc.).
Databases and Datalakes:
Expert level in SQL and solid experience in relational DBMS systems.
Experience in Datalakes (Apache Hive, AWS S3).
Ability for data model design and data validation.
Quality and Deployment:
Expert in Delivery (CI/CD) methodologies and tools.
Unit testing and experience adapting code to static analysis tools (Sonar and/or Fortify).
Languages: English level B2.

Nice to have

Implementation of data control and governance models.
Handling of other analytical or visualization tools (Tableau, QlikView, MicroStrategy, etc.).
Experience in process planning (preferably Control-M).
Experience in workflow orchestrators (preferably Airflow).
Experience in the consumption and definition of APIs.

The role

At Ad4Octógono we are hiring a Senior Data Engineer / ETL & Big Data Specialist to join a new strategic project in the financial sector

We are looking for a senior technical profile with solid experience in the architecture and implementation of massive ETLs, advanced development in Spark Scala, management of Datalakes in Cloud environments, and excellent development and continuous integration practices.

What you'll do

ETL Design and Implementation: Develop and optimize pipelines and extraction, transformation, and loading processes for massive data (ETL/ELT) for the banking sector.
Big Data Development: Design and program high-performance distributed processing flows using Spark and Scala.
Data Architecture and Modeling: Design relational and dimensional data models adapted to complex analytical needs.
Cloud Datalake Management: Administer and structure Datalake solutions on tools such as Apache Hive, AWS S3, and Cloud platforms.
Testing, Quality, and Static Analysis: Perform unit testing and adapt code to required standards using static analysis tools (Sonar / Fortify).
Continuous Delivery (CI/CD): Actively participate in the automation of the software lifecycle and maintenance of Delivery pipelines (CI/CD).
Integration with BI Tools: Feed and connect analytics and Business Intelligence platforms (Databricks, Power BI, Starburst).
Start Date: Immediate.

How you'll work

Location: Available at any of the company's sites/offices.
Modality: Hybrid presence in Madrid, Barcelona (3 days in office and 2 days remote), Seville, Córdoba, Granada, and Jaén (4 days in office and Friday remote)
100% remote during dates such as Christmas, Easter, intensive workdays, and long weekends with individual days off.
Working Hours:
September to June: 42 h/week.
July and August: 30 h/week (Intensive workday).