Data Engineering Lead

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May 12

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SeQura

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Finance • Fintech • eCommerce

SeQura is a company specializing in providing flexible payment solutions, notably for online shopping. It allows consumers to enjoy a 'buy now, pay later' experience with options to split payments into three equal parts or over a period of up to 18 months without additional costs for the customer. The service is accessible in over 4,000 stores, offering a seamless integration for online and in-store purchases. SeQura's solutions cater to a wide range of sectors including fashion, education, electronics, and more, promoting an easy and quick shopping experience without financial complications. The company supports a wide array of consumer needs while ensuring data security and flexible financial management.

201 - 500 employees

💸 Finance

💳 Fintech

🛍️ eCommerce

💰 Debt Financing on 2022-09

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 23 vacation days + 2 days of free disposal per year. • Professional development that includes 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. • Wellness Program that covers 6 areas with 34 different activities.