Data Engineer

About The Company

Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers. At Andela, we're deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C. way! We're excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you'll have access to a multitude of exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace! Our roles are typically filled at lightning speed, so if you're considering applying, get your application in quickly!

About The Client

Our client is a global consumer goods organization with a large portfolio of well-known brands in the pet care and nutrition space, operating across markets worldwide. Their Customer Data Platform (CDP) team owns the ingestion, identity unification, and activation infrastructure that powers marketing and personalization initiatives for the entire brand portfolio at a global scale. The team culture is collaborative and mentorship-driven: engineers work closely with senior peers, documentation and runbooks are treated as part of the product, and data quality and privacy are taken seriously as first-class engineering concerns.

About The Role

You will join the client's Customer Data Platform (CDP) team as a Data Engineer, supporting the development and maintenance of data pipelines on Treasure Data / Treasure AI with guidance from senior engineers. Your primary responsibilities will include building and validating data pipeline logic, troubleshooting issues at the first level, and helping enforce PII tagging and data quality controls across a platform serving dozens of brands in over one hundred markets. This role is designed to foster growth, providing an excellent opportunity to enhance your skills in enterprise-scale customer data engineering. You are expected to arrive with solid engineering fundamentals in Python, SQL, and Java, and to ramp up on the CDP domain, Microsoft Azure, and the broader MarTech ecosystem on the job. This position offers a unique chance to learn from an established, well-supported team and gain hands-on experience in a complex, real-world environment rather than working in isolation.

Responsibilities

• Support the development and ongoing maintenance of data pipelines within Treasure Data under the mentorship of senior engineers.
• Participate in testing, data validation, and first-level troubleshooting to ensure pipeline integrity and performance.
• Assist in the implementation and verification of PII tagging and other data quality controls to maintain compliance and data accuracy.
• Contribute to creating and maintaining comprehensive technical documentation and runbooks for operational efficiency.
• Help develop and refine the team's standardized local development tooling to streamline workflows.
• Actively pursue learning opportunities related to the CDP domain, Microsoft Azure, Java, and the broader MarTech ecosystem to enhance your technical expertise.
  
  

Qualifications

• 2–3 years of experience in data engineering, backend development, or a related field, including internships and relevant projects.
• Proficiency in Python and SQL, with a solid understanding of their application in data pipeline development.
• Basic experience with Java, demonstrating entry-level work knowledge.
• Familiarity with Git / GitHub and CI/CD workflows to support collaborative development and deployment.
• A proactive, learning-oriented mindset with the ability to work effectively within a team environment.
• Professional proficiency in English, both written and spoken, to facilitate clear communication.
  
  

Nice-to-Have Skills

• Prior experience or familiarity with Treasure Data / Treasure AI platforms.
• Interest in or background with Customer Data Platforms (CDP) or MarTech solutions.
• Academic or personal experience working with Microsoft Azure cloud services.
• Exposure to data pipeline orchestration and ETL/ELT patterns.
• Knowledge of MarTech integrations such as Salesforce Marketing Cloud, REST APIs, Power BI dashboards, or Datadog observability tools.
  
  

Conditions

• Work setup: Fully remote, allowing flexibility and a comfortable working environment.
• Time zone: UTC+1 (CET/CEST), aligned with Madrid, Spain. A minimum of six hours daily overlap with the team's working hours, starting around 9:00 AM CET.
• Contract length: 12 months, with the possibility of renewal based on business needs and individual performance.
• Dedication: Full-time engagement of 40 hours per week.
• Engagement type: This is an independent contractor position through Andela, not a direct employment with Andela or the client.
• Equipment: As the role involves handling Personally Identifiable Information (PII), a client-provisioned laptop will be provided.
  
  

At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in. Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color