About the project

• We are looking for an experienced Data Engineer to join the Data & Analytics team. The ideal candidate will have deep expertise in data engineering with a focus on building Graph Databases using Neo4j, as well as hands-on experience in data ingestion, optimization techniques and Google Cloud Platform (GCP) services.

Your responsibilities

• Design, develop, and optimize Graph Database solutions using Neo4j.
• Build and maintain robust data pipelines for large-scale data ingestion and processing on GCP.
• Design and optimize data models, schemas, and queries to ensure high performance and scalability.
• Develop, maintain, and optimize data workflows using GCP data services such as BigQuery, Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow).
• Implement best practices for data warehousing and data lake architectures.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Ensure data integrity, quality, and security in all data engineering processes.
• Contribute to the continuous improvement of engineering standards, tools, and processes.

Our requirements

• 4+ years of hands-on experience as a Data Engineer, with a minimum of 2 years working specifically with GCP data services.
• Proven experience building and optimizing Graph Databases with Neo4j.
• Strong proficiency in SQL with expertise in schema design, query optimization, and handling large datasets.
• Advanced skills in BigQuery, including complex SQL, partitioning, clustering, and performance tuning.
• Hands-on experience with at least one GCP data processing service: Dataflow (Apache Beam), Dataproc (Apache Spark/Hadoop), or Composer (Apache Airflow).
• Proficiency in at least one programming or scripting language such as Python, Java, or Scala.
• Solid understanding of data warehousing and data lake concepts and best practices.
• Experience with version control systems such as Git.
• English proficiency at C1 level (both written and spoken).
• Professional Data Engineer (PDE) certification or a similar relevant certification.

Optional

• Familiarity with data governance and data security best practices.
• Experience working in Agile teams and methodologies.
• Knowledge of machine learning pipelines and integration with data platforms.

Technologies we use

This is how we work on a project

• Continuous Deployment

• Continuous Integration

• DevOps

What we offer

• Fully remote work with flexible working hours.

• Long-term collaboration on B2B contract.

• Opportunity to work on complex cloud projects for international clients.

• Professional growth in a highly skilled and supportive team.

• Collaborative and open working culture.