Data Engineering Lead | TOP Fintech | Full Remote SPAIN | €65K - €75K
Joppy · Spain
- Hybrid
- Full-time
- €75,000 / year
- Spain
Job highlights
- Lead data engineering team and best practices.
- Design scalable data pipelines and architectures.
- Collaborate with stakeholders for data solutions.
- Own ETL, data quality, and governance.
- Optimize data workflows for efficiency.
About the role
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
Skills & topics
- 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
How to get hired
- 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.
Technical preparation
Master Python and SQL for complex data tasks.,Build scalable data pipelines with Kafka and Airflow.,Implement data warehouses using DBT and Redshift/BigQuery.,Practice IaC and CI/CD for data infrastructure.
Behavioral questions
Describe leading a data engineering team.,How do you ensure data quality and governance?,Share an experience optimizing data workflows.,How do you collaborate with non-technical stakeholders?
Frequently asked questions
- What is the work arrangement for the Data Engineering Lead role at this Fintech company?
- The Data Engineering Lead position offers a flexible work arrangement. You can work fully remote from anywhere in Spain or choose a hybrid model if you are based in Barcelona.
- What are the key technical skills required for the Data Engineering Lead position?
- The role requires advanced Python and SQL, solid experience with Kafka, Airflow, DBT, modern data warehouses (Redshift, BigQuery, Snowflake), and cloud data platforms (AWS, GCP, Azure). Familiarity with DevOps, CI/CD, and Infrastructure as Code is also important.
- Does this Data Engineering Lead role involve team management?
- Yes, the Data Engineering Lead will lead, mentor, and grow the data engineering team. Depending on seniority and profile, there's also potential to take ownership of data analyst workflows and team management.
- What kind of professional development opportunities are available for the Data Engineering Lead?
- The company offers significant professional development, including access to a language learning platform and a personal budget for further training and growth.
- What is the salary range for the Data Engineering Lead role?
- The salary for the Data Engineering Lead position ranges from €65,000 to €75,000 annually, depending on your experience and qualifications.
- How does Joppy ensure relevant job offers for developers?
- Joppy's platform is designed by developers for developers, ensuring only relevant offers matching your preferences are presented, avoiding mismatches like JavaScript roles for Java developers.
- Can I apply for the Data Engineering Lead role anonymously?
- Joppy allows for anonymous profiles by default. You have control over who can contact you, and companies cannot initiate contact until you accept their offer.
- What is the company culture like at this Fintech employer?
- The company boasts a supportive and fellowship-driven culture, emphasizing trust, freedom, and a sense of belonging. They offer challenging projects in a secure and reliable workplace.