Ingénierie des données Senior // Senior Data Engineering

Senior Data Engineer, Data Engineering

About Us
Travel is more than reaching a destination—it’s about the experiences created along the way. We partner with over 200 airline, hospitality, cruise, passenger rail, and financial services companies to transform everyday travel into extraordinary journeys. Guided by our values of ambition, innovation, and collaboration, we continuously raise the bar and believe we are better together.

Join us in shaping the future of travel by unlocking the power of data.

 

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About the Role

We are seeking a Senior Data Engineer to play a key role in the evolution of our data platform. As part of our Data Engineering team, you will design and implement scalable, reliable, and high-performing data pipelines and platforms that support analytics, AI/ML, and customer-facing applications.

In this role, you’ll act as a technical leader: mentoring intermediate engineers, guiding solution design, and ensuring best practices are applied. You’ll work closely with a Staff Engineer and Data Architect, collaborating on architecture decisions while owning complex implementation and delivery.

 

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What You’ll Do

• Lead the design, development and implementation of scalable, resilient, and cost-efficient data pipelines across batch and streaming systems
  
  

• Partner with Staff Engineers and Data Architects to translate high-level architecture into actionable engineering solutions.
  
  

• Drive adoption of best practices for data modeling, pipeline design, code quality, and testing
  
  

• Implement and scale automated monitoring, alerting, and data quality frameworks for mission-critical pipelines
  
  

• Own complex, high-impact data engineering projects end-to-end, from design through deployment and monitoring
  
  

• Guide the team in designing event-driven, real-time, and microservices-oriented data flows
  
  

• Optimize existing data infrastructure for performance, scalability, and cost efficiency in the cloud
  
  

• Mentor and coach intermediate engineers, conducting reviews and providing feedback to grow team capability
  
  

• Collaborate with analysts, data scientists, and product teams to co-design data products that power advanced analytics and ML models
  
  

• Contribute to the evolution of data governance, security, and compliance practices
  
  

• Evaluate and introduce new tools, frameworks, and techniques to keep our stack modern and efficient
  
  

• Champion a data-first culture, ensuring stakeholders can trust and act on the data we provide
  
  

 

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What You Bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
  
  

• 5–7+ years of professional experience in data engineering, with proven success delivering large-scale data solutions
  
  

• Advanced proficiency with Python, SQL, and at least one additional language (e.g., Java or Scala)
  
  

• Deep expertise in SQL and NoSQL databases, data modeling, and query optimization
  
  

• Strong hands-on experience with Snowflake and modern data warehouse concepts (data lakes, lakehouse, streaming)
  
  

• Expertise with orchestration frameworks (Airflow, Dagster) and CI/CD for data pipelines
  
  

• Solid understanding of real-time/streaming architectures (Kafka, Kinesis)
  
  

• Proven track record of implementing data quality, observability, and monitoring frameworks
  
  

• Strong understanding of AWS data ecosystem (S3, Glue, Lambda, EMR, ECS) or equivalent cloud services (Azure, GCP)
  
  

• Experience with infrastructure as code (Terraform, CloudFormation)
  
  

• Strong grounding in software engineering practices: testing, code reviews, version control, and design patterns
  
  

• Excellent communication and collaboration skills, with the ability to influence technical decisions and guide cross-functional stakeholders
  
  

• A customer-first mindset, focused on driving value and efficiency through robust and effective data products.
  
  

 

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Nice to Have

• Experience with data governance, cataloging, and lineage tools (e.g., Collibra, Alation, Atlan)
  
  

• Exposure to machine learning feature pipelines or MLOps workflows
  
  

• Familiarity with DataOps practices and advanced monitoring/alerting platforms
  
  

• Knowledge of RESTful API development and integration
  
  

• Hands-on experience with Docker, Kubernetes, and containerized data workloads
  
  

• Familiarity with BI and visualization platforms (Tableau, Looker)
  
  

• Background in high-throughput or low-latency systems

 

 

 

Plusgrade is an equal-opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunities regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request, we will provide accommodation for applicants with disabilities. If you have a preference regarding the language of your interviews, please inform our Talent Team when they reach out to you.

 

We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. All applications will be reviewed by our Talent Team and the successful candidate(s) will go through the following recruitment process:

 

• Recruiter Phone Interview 

• Hiring Manager Interview

• Team Interview

• Final Team Interview