We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel.

Data Engineering

Lead to drive our data engineering efforts and guide a growing team of engineers. You'll be responsible for designing scalable data architectures, optimizing data pipelines, and ensuring data reliability across the company. Depending on your seniority and profile, you could also take ownership of data analyst workflows and team management.

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. With us, you will have challenging projects to work on and push your skills and knowledge. In addition,



we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.

Professional development that includes access to a language learning platform. Health insurance discounts with Sanitas and DKV. Hybrid work from Barcelona or full remote from Spain. Adaptable working hours.

A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, environmental consciousness). Proven experience leading or mentoring data engineering teams.

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.

Interview with the Director of Engineering

📌 Data Engineering Lead - REMOTE (Laza)
🏢 Sequra
📍 Laza