ABOUT THE ROLE

We are looking for an experienced Data Engineer for our partners. an outsourcing company that works with a client in the energy industry. You will design, build and maintain the data pipelines and cloud-based architectures that support business intelligence, analytics and machine learning.

You will work with Python, SQL, Apache Spark, Kafka and Airflow, turning data from a variety of sources into reliable, well-structured data lakes and warehouses.

COLLABORATION

• B2B collaboration;

• Hybrid remote in Bucharest.

DUTIES AND RESPONSIBILITIES

• Design, develop, and maintain robust data pipelines and architectures to support business intelligence, analytics, and machine learning models.

• Collaborate with data scientists, analysts, and other engineers to ensure seamless integration of data across platforms.

• Collaborate with business stakeholders to understand their data needs, translating business requirements into scalable and efficient data solutions.

• Communicate complex technical concepts clearly to non-technical stakeholders, ensuring alignment between engineering and business teams.

• Implement efficient data processing solutions, ensuring high performance and scalability.

• Optimize data storage, retrieval, and ETL processes to ensure data availability and integrity.

• Lead the design and development of cloud-based data solutions.

• Maintain version control and collaborate using GitLab to manage code and deployment pipelines.

• Develop and optimize SQL queries and integrate data from a variety of sources into central repositories (e.g., data lakes, data warehouses).

• Automate and streamline data pipeline processes with shell scripting and other relevant tools.

• Provide mentorship to junior data engineers, guiding them through technical challenges and helping then grow in their roles.

• Lead code reviews and ensure best practices are followed across the engineering team.

REQUIREMENTS

Technical requirements

• Bachelor degree in STEM subjects;

• 4+ years in Data Engineer role or similar role with proven track record of providing large-scale data solutions;

• Strong experience in SQL, including complex queries;

• Strong programming experience with Python for data engineering tasks, including building custom data processing solutions and automation;

• In-depth experience with Apache Spark and Apache Kafka for distributed data processing and batch processing;

• Hands-on experience with Apache Airflow for orchestration of data flows;

• Solid experience in AWS (or another Cloud provider);

• Proficiency in using GitLab for version control and CI/CD processes;

• Hands-on experience Docker and Kubernetes for containerization;

• Experience with DBT for data transformation;

• Experience in Shell scripting (e.g. Bash).

Nice to have

• Experience with at least one other programming language Java, Scala, Apache Hive;

• Understand data governance, security best practices, and compliance regulations;

• Familiarity with agile methodologies and working in cross-functional teams;

• Familiarity with Machine Learning concepts.

Key Attributes

• Strong problem-solving skills and ability to work with large, complex datasets;

• Excellent communication and collaboration skills to work effectively across teams;

• Ability to mentor junior engineers and provide technical leadership.