Data Engineer

7 days ago

Iasi, Iaşi, Romania BoatyardX Full time €30,000 - €60,000 per year

We are seeking an experienced Senior Data Engineer to join our team.

You will be responsible for designing, building, and optimising large-scale data systems to support analytics, AI/ML, and business decision-making. You will work closely with data scientists, analysts, and engineering teams to deliver scalable, efficient, and reliable data solutions across AWS.

WHAT WILL I BE DOING?

  • Act as a subject matter expert in large-scale data engineering, data modeling, and warehousing.
  • Design, implement, and optimise data architectures, schemas, and pipelines across cloud platforms (primarily AWS).
  • Develop scalable ETL/ELT processes using tools such as AWS Glue, Redshift, Athena, and S3.
  • Work with big data frameworks (Apache Spark, PySpark) to process and analyze large datasets.
  • Build and manage workflow orchestration using Apache Airflow or AWS Step Functions.
  • Apply best practices in software engineering: testing, version control, CI/CD.
  • Collaborate with data scientists to operationalize ML models (MLOps) in production environments.
  • Ensure performance, cost efficiency, scalability, and reliability of data systems.
  • Mentor and guide junior data engineers, leading projects from concept to delivery.
  • Produce technical documentation and knowledge sharing resources.

WHAT SKILLS AND EXPERIENCES DO I NEED?

  • 7+ years of professional experience in data engineering or data science.
  • Strong expertise in data modeling, data warehousing, and schema design for large-scale systems.
  • Advanced proficiency in
    Python, SQL, and PySpark
    .
  • Hands-on experience with AWS data services:
    Glue, Redshift, S3, Lambda, Athena
    .
  • Experience with big data frameworks (Apache Spark), workflow orchestration (Airflow, Step Functions), and IaC (CloudFormation, Terraform).
  • Solid foundation in algorithms, data structures, design patterns, and relational databases.
  • Strong knowledge of software development best practices, testing, version control, and CI/CD pipelines.
  • Familiarity with
    ML, NLP, or DL concepts
    ; hands-on MLOps experience is a strong plus.
  • MSc/PhD in Computer Science, AI, or related field is highly desirable.
  • Excellent problem-solving and critical thinking skills, with the ability to quickly grasp new domains.
  • Leadership experience in mentoring teams and driving projects end-to-end.

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