3 days ago

Data Engineering Lead

Joppy

Hybrid
Full Time
€75,000
Hybrid
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Job Overview

Job TitleData Engineering Lead
Job TypeFull Time
Offered Salary€75,000
LocationHybrid

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Job Description

Data Engineering Lead

Joppy is collaborating with a TOP Fintech company to find a Data Engineering Lead. This role offers full remote work from anywhere in Spain or a hybrid option in Barcelona.

About the Role

We're seeking a hands-on and strategic Data Engineering Lead to spearhead our data engineering initiatives and manage a growing team. Your responsibilities will include designing scalable data architectures, optimizing data pipelines, and ensuring company-wide data reliability. Depending on your experience, you may also oversee data analyst workflows and team management.

What challenges you'll be solving

  • Lead, mentor, and grow the data engineering team, setting best practices in architecture, development, and operations.
  • Design and implement scalable, reliable, and secure data pipelines and data lake architectures.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver robust solutions.
  • Own the development and maintenance of ETL/ELT processes, data quality, versioning, and governance.
  • Optimize performance across data workflows, ensuring efficiency and minimal downtime.
  • Champion a data-first culture, ensuring our data infrastructure scales with the company’s needs.
  • Support the potential integration of data analyst workflows and oversight, depending on your scope and experience.

What you’ll need

  • Proven experience leading or mentoring data engineering teams.
  • Strong communication skills and the ability to work cross-functionally with technical and non-technical stakeholders.
  • Strong background in designing and implementing data platforms in cloud environments (ideally AWS, but GCP or Azure is also valuable).
  • Solid experience with Kafka, Airflow, DBT and modern data warehouses (ideally Redshift, but BigQuery or Snowflake is also valuable).
  • Advanced knowledge of Python and SQL.
  • Familiarity with DevOps culture, CI/CD practices and infrastructure as code (e.g. Terraform).
  • Deep understanding of data governance, versioning, and quality control.
  • (Nice to have) Experience working with data analysts or BI teams, and ability to guide analytics efforts.

What is offered

  • A strong and sustainable foundation, providing a secure and reliable workplace with freedom and trust.
  • A fellowship and supportive culture fostering a sense of belonging.
  • Challenging projects to push your skills and knowledge.
  • A unique and inspiring office environment (if applicable).
  • 23 vacation days + 2 days of free disposal per year.
  • Professional development including access to a language learning platform.
  • Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
  • Health insurance discounts with Sanitas and DKV.
  • Hybrid work from Barcelona or full remote from Spain.
  • Flexible working hours.
  • A personal budget for professional development.
  • Office workshops and meet-ups to encourage community participation and career growth.

About Joppy

Joppy is a technology recruitment platform built for developers by developers. Key features include: No CV required, anonymous profiles by default, user control over communication, relevant job offers, and rewards for successful hires.

Key skills/competency

  • Data Engineering Lead
  • Data Architecture
  • Data Pipelines
  • ETL/ELT
  • Cloud Platforms (AWS, GCP, Azure)
  • Kafka
  • Airflow
  • DBT
  • Python
  • SQL

Tags:

Data Engineering Lead
Data Engineering
Fintech
Remote
Spain
AWS
GCP
Azure
Kafka
Airflow
DBT
Python
SQL
Data Architecture
Data Pipelines
ETL
ELT
Data Warehouse
DevOps
CI/CD

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How to Get Hired at Joppy

  • Tailor your resume: Highlight leadership, cloud data platforms, Kafka, Airflow, DBT, Python, and SQL experience for this Data Engineering Lead role.
  • Showcase leadership: Emphasize your experience mentoring data engineers and setting best practices in architecture and operations.
  • Demonstrate technical expertise: Detail your background in designing and implementing scalable data pipelines and warehouses in cloud environments.
  • Prepare for interviews: Be ready to discuss your approach to data governance, quality control, and optimizing data workflows.
  • Understand the company culture: Research the Fintech company's values and demonstrate how your collaborative and data-first approach aligns.

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