Staff Data Engineer

Hybrid

Reperio have partnered with a well-known tech company who are seeking an experienced Data Engineer to join their team. The successful candidate will play a crucial role in shaping the direction of their data infrastructure and engineering practices. This will involve developing and maintaining efficient data models and ETL pipelines, supporting analytics and machine learning needs. You'll work alongside cross-functional teams, influence architectural decisions, and drive data strategy. This position requires both hands-on technical skills and a strategic mindset to solve complex data problems and mentor junior team members.

Requirements:

• 6+ years in data engineering or related roles, with a strong background in data architecture, ETL, and Big Data solutions
• Expertise in SQL, Python, and data warehousing solutions (Snowflake, Redshift, BigQuery)
• Hands-on experience with AWS cloud services and Big Data technologies (Spark, Kafka)
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Nice to Have:

• Experience with real-time data streaming solutions (Kafka, Kinesis)
• Experience with workflow orchestration tools like Airflow or Prefect

Benefits:

• Pension
• Health, dental and life insurance
• Flexible hybrid working
• Excellent career development and progression opportunities

If this role as a Staff Data Engineer interests and suits you, then apply using the link below. If you require any further information, get in touch with Jamie Sadlier at Reperio (details below). 

Reperio Human Capital acts as an Employment Agency and an Employment Business.