Machine Learning Pipeline Architect

14 hours ago


Stockholm, Stockholm, Sweden Lendo Full time

Lendo is a leader in the fintech industry, and we're looking for a talented Data Engineer to join our team

The role involves developing and maintaining scalable data infrastructure solutions that drive business growth and success.

Key responsibilities include:

  1. Designing and implementing robust data pipelines and ETL processes.
  2. Optimizing data storage, processing, and retrieval for analytics, marketing, and machine learning applications.
  3. Ensuring business users have reliable, well-structured, and timely access to data.
  4. Guaranteeing data quality, integrity, and governance across the data ecosystem.
  5. Collaborating with software engineers to build near-real-time data ingestion and feature store solutions.
  6. Implementing monitoring and logging tools to track and manage data pipeline health and performance.
  7. Working closely with data scientists, analysts, and other teams to enable advanced analytics and model development.

Requirements include:

  1. Proven expertise in data engineering with a strong background in Python and SQL.
  2. Hands-on experience with Apache Airflow for orchestrating and scheduling data workflows.
  3. Proficient in working with data warehouses (Snowflake, BigQuery).
  4. Familiar with streaming data architectures and batch processing techniques.
  5. Strong experience with cloud platforms (AWS and/or GCP).
  6. Knowledge of infrastructure-as-code tools (Terraform, CloudFormation) and containerization (Docker, Kubernetes).
  7. Skilled in CI/CD for data workflows and experienced in automating data pipelines.
  8. Excellent problem-solving skills – able to break down complex issues and find innovative solutions.
  9. Strong collaboration and communication skills – able to work effectively with cross-functional teams.


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