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Data Tech Lead

Data Tech Lead

EburyMadrid, Comunidad de Madrid, España
Hace 11 horas
Descripción del trabajo

Overview

Data Tech Lead – Madrid Office - Hybrid : 4 days in the office, 1 day working from home

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions. Since our founding in 2009, we’ve grown to a diverse team of over 1,700 professionals across 40+ offices and 29+ markets worldwide. Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued. You’ll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.

Join Our Data Team at Ebury Madrid Office.

Our data mission is to develop and maintain Ebury’s Data Platform and serve it to the whole company, where Data Scientists, Data Engineers, Analytics Engineers and Data Analysts work collaboratively.

As a Data Tech Lead, you will work closely with the rest of the team to help model and maintain the Data Platform.

Responsibilities

  • Be mentored by one of our outstanding performance team members along a 30 / 60 / 90 plan designed for you.
  • Participate in data modelling reviews and discussions to validate the model's accuracy, completeness, and alignment with business objectives.
  • Design, develop, deploy and maintain ELT / ETL data pipelines from a variety of data sources (transactional databases, REST APIs, file-based endpoints).
  • Serve hands-on delivery of data models using solid software engineering practices (eg. version control, testing, CI / CD).
  • Manage overall pipeline orchestration using Airflow (hosted in Cloud Composer), as well as execution using GCP hosted services such as Container Registry, Artifact Registry, Cloud Run, Cloud Functions, and GKE.
  • Work on reducing technical debt by addressing code that is outdated, inefficient, or no longer aligned with best practices or business needs.
  • Collaborate with team members to reinforce best practices across the platform, encouraging a shared commitment to quality.
  • Help to implement data governance policies, including data quality standards, data access control, and data classification.
  • Identify opportunities to optimise and refine existing processes.

About You

  • 8-12+ years of data / analytics engineering experience building, maintaining & optimising data pipelines & ETL processes on big data environments
  • Proficiency in Python and SQL
  • Knowledge of software engineering practices in data (SDLC, RFC…)
  • Stay informed about the latest developments and industry standards in Data
  • Fluency in English
  • Experience with our modern Data stack tools is a plus
  • Dimensional modelling / data warehousing concepts knowledge is a plus
  • Spanish speaking skills is a plus
  • If you’re excited about this job opportunity but your background doesn’t match exactly the requirements in the job description, we strongly encourage you to apply anyway. You may be just the right candidate for this or other positions we have.

    About Us

    Ebury is a FinTech success story, positioned among the fastest-growing international companies in its sector. Founded in 2009, we are headquartered in London and have more than 1700 staff with a presence in more than 29 markets worldwide. Cultural diversity is part of what makes Ebury a special place to be. From Sao Paulo to Dubai, Vancouver to Auckland, we enjoy sharing team experiences and celebrating success across the Ebury family.

    Hard work pays off : in 2019, Ebury received a £350 million investment from Banco Santander and has won internationally recognised awards including Financial Times : 1000 Europe\'s Fastest-Growing Companies.

    We are committed to building a workplace where everyone feels valued, supported, and empowered to thrive. We’re proud to have active employee networks and ESG initiatives that reflect our inclusive culture, including our Women’s Network, LGBTQIA+ Network, and Veterans Network. These communities provide spaces for connection, mentorship, advocacy, and collaboration across our global teams.

    Please submit your application on the careers website directly, uploading your CV / resume in English.

    Job Details

  • Seniority level : Not Applicable
  • Employment type : Full-time
  • Job function : Information Technology
  • Madrid, Community of Madrid, Spain

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