Data Engineer (Senior) 0641

Essential Skills

• Proven experience building and optimizing data pipelines and big data solutions
• Strong programming skills in Python (or similar)
• Experience with cloud data platforms (Azure, AWS, or GCP)
• Solid understanding of data governance, quality, and compliance
• Hands-on experience with CI/CD and workflow orchestration tools
• Strong analytical, problem-solving, and strategic thinking skills
• Ability to lead, collaborate, and influence in cross-functional teams

Role & Responsibilities

• Design, develop, and deliver scalable data engineering solutions using Python or similar languages
• Build and optimize data pipelines and data models using modern frameworks (e.g., Spark, Flink)
• Collaborate with stakeholders to clarify requirements and refine user stories
• Participate actively in Agile ceremonies (planning, refinement, retrospectives)
• Implement CI/CD pipelines and DevOps practices for data workflows
• Ensure data quality, governance, lineage, and compliance across systems
• Provide support and maintenance of existing data solutions
• Drive continuous improvement, innovation, and solution prototyping
• Lead knowledge sharing, mentoring, and coaching within the team

Advantageous Skills

• Experience with streaming platforms (Kafka, RabbitMQ, MQTT)
• Exposure to serverless architectures and cloud-native services
• Familiarity with monitoring and logging tools (Splunk, ELK, Azure Data Explorer)
• Basic frontend knowledge (React, Vue.js)
• Experience supporting production environments and ticket management
• Strong business acumen and ability to translate requirements into solutions
• Experience working in distributed/global teams
• Agile methodology and ITIL knowledge
• Willingness to travel internationally when required

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
• Minimum 5+ years’ experience in data engineering within complex environments
• Proven experience delivering cloud-based data solutions
• Relevant cloud certifications are advantageous but not required