Transformative Data Engineering Leader

1 day ago

Athens, Attica, Greece beBeeData Full time
Data Engineering Professional

You have the opportunity to be a key player in shaping the future technological landscape.

We are dedicated to responsible digital transformation, building innovative solutions that drive meaningful impact. Our team of 2,300+ tech professionals is passionate about creating a positive workplace where diversity and inclusion thrive.

Join us as a Data Engineer (Senior-Lead) and take ownership of large-scale data engineering projects. You will lead data architecture and design decisions, mentor junior team members, and drive best practices within the data engineering team. Your strong experience working with relational databases, SQL, big data tools, and orchestration tools will enable you to make significant contributions.

This role requires:Design, development, and maintenance of scalable data pipelines and ETL/ELT processes to support business requirements.Writing and maintaining complex SQL queries to extract, transform, and load data into various systems.Utilization of PySpark and Spark SQL in Notebooks (e.g., Jupyter, Databricks) to process and analyze large datasets efficiently in distributed computing environments.Use of orchestration tools such as Apache Airflow to schedule, monitor, and optimize data workflows and pipeline execution.Collaboration with business analysts, data architects, and other stakeholders to ensure seamless data integration across systems.Ensuring data quality, accuracy, and consistency by implementing data validation and monitoring mechanisms.Troubleshooting and resolving issues related to data processing performance, data integrity, and system scalability.Key Qualifications

To excel in this role, you must possess:5+ years of experience in data engineering, including leadership and strategic decision-making responsibilities.Experience working in cloud platforms (e.g., MS Azure, AWS, GCP).Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.Excellent knowledge of relational databases and proficiency in SQL.Strong experience with PySpark and Spark SQL for processing and querying large datasets in distributed computing environments.Proficiency in using Notebooks (e.g., Jupyter, Databricks) for developing and testing data engineering workflows.Experience with Apache Airflow or other orchestration tools for managing and scheduling data workflows.What We Offer

We provide a competitive compensation and benefits package, including:
  • A modern work environment and hybrid working model.
  • A seamless onboarding experience and a buddy to support you on your first steps.
  • Health and life insurance program.
  • Meal and commuting allowance.
  • Well-being activities.
  • Continuous learning opportunities using the most modern methods.
  • A personalized development plan for targeted career growth.
About Us

We are an equal opportunities employer, committed to creating a positive workplace where diversity and inclusion thrive. We respect human rights and focus on making a meaningful impact through our work.

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