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Senior Data Engineering Manager

3 weeks ago

Budapest, Budapest, Czech Republic beBee Careers Full time
Job Description

We are seeking an experienced Senior Data Engineering Manager to lead our data engineering team. As a Senior Data Engineering Manager, you will be responsible for designing and developing data engineering solutions, including data pipelines and ETL processes.

About the Role
  • Lead the design and development of data engineering solutions, including data pipelines and ETL processes, leveraging your technical expertise.
  • Lead and mentor a team of data engineers, providing technical guidance and oversight to ensure high-quality deliverables.
  • Accurately estimate time and resources required for new projects.
  • Promote a continuous learning and improvement culture, staying up-to-date with industry best practices and emerging technologies.
  • Evaluate team performance and provide feedback and coaching.
  • Encourage collaboration and open communication within the team and with other stakeholders.
  • Participate in the recruitment process to select new team members.
Requirements

To be successful in this role, you will need:

  • Strong technical skills in code review, architecture, and data models.
  • Experience with designing data pipelines and building ETL processes.
  • Passion for continuous learning and improvement.
  • Ability to accurately estimate time and resources for projects.
  • Ability to manage timelines and deadlines while ensuring high-quality work.
  • Excellent communication and collaboration skills.
  • Ability to identify and address performance issues and recognize high performers.
  • Strong leadership and mentoring skills.
  • Experience in recruiting and building a team.
Technical Skills
  • 6+ years of proven experience developing software using an object-oriented or functional language.
  • Minimum English level B2.
  • Strong programming skills in Python or Scala/Java.
  • Solid understanding of distributed computing approaches, patterns, and technologies (Spark/PySpark).
  • Experience working with Cloud Platforms (GCP, AWS, Azure – any of the listed) and their data-oriented components.
  • Proficiency in SQL and query tuning.
  • Deep knowledge of data warehousing principles and modeling concepts (knowledge of data model types and terminology including OLTP/OLAP, SCD, (de)normalization, dimensional, star).
  • Experience in modern data warehouse building using modern tools (e.g., Snowflake, AWS Redshift, BigQuery).
  • Expertise in the use of any relational databases (e.g., PostgreSQL, MSSQL, MySQL).
  • Experience with any tool for data flow orchestration (e.g., Apache Airflow, Prefect, Glue, Azure Data Factory).
Bonus Requirements

The following skills are a plus:

  • Expertise in data storage design principles. Understanding of pros and cons of SQL/NoSQL solutions, their types, and configurations (standalone/cluster, column/row-oriented, key-value/document stores).
  • Deep knowledge of Spark internals (tuning, query optimization).
  • Experience with data integration and business intelligence architecture.
  • Experience with non-relational databases (e.g., MongoDB, DynamoDB).
  • Experience with data lakes and lake-houses (Azure Data Lake, Apache Hudi, Apache Iceberg, Delta Lake).
  • Experience with stream processing using current industry standards (e.g., AWS Kinesis, Kafka streams, etc.).
  • Experience with distributed computing in the Hadoop ecosystem (Beam, Flink, Storm, HDFS, and Hive).
  • Experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment.
  • Good knowledge of popular data standards and formats (e.g., JSON, XML, Proto, Parquet, Avro, ORC, etc.).
  • Experience with Platforms: Informatica, Databricks, Talend, Fivetran, or similar.
  • Experience in data science and machine learning with building Machine Learning models.
Benefits
  • Competitive compensation package.
  • Stable employment based on a full-time employment contract.
  • Private health insurance.
  • AYCM sport pass providing discounts at various sports facilities.
  • Interesting tasks and diverse opportunities for developing your skills.
  • Free training courses.
  • Participation in internal and external thematic events, technical conferences.
  • A spacious office in the heart of Budapest.
  • All necessary devices and tools for your work.
  • Active corporate life.