[Hiring] Lead Data Platform Engineer @Interval

Role Description

This is a remote position. We are supporting an organisation in the automotive sector seeking a highly experienced Lead Data Platform Engineer to design, build and enhance a modern AWS-based analytics platform. This is a fully remote freelance assignment with full-time hours. A daily rate is available.

• Lead the hands-on development of scalable AWS data platforms, including Data Lakes, Lakehouses and Data Warehouses.
• Design and implement data pipelines using AWS Glue, Athena, Redshift, EMR and Kinesis.
• Build batch and streaming solutions with Spark, Kafka and Apache Iceberg or Delta Lake.
• Make architectural decisions around platform design, data integration and semantic layers.
• Implement orchestration with Airflow/MWAA, Step Functions and dbt.
• Establish security, governance and compliance practices using IAM, KMS and GDPR principles.
• Automate infrastructure and deployments using Terraform, CI/CD and DataOps.
• Lead technical delivery, conduct code reviews and mentor Data Engineers.

Qualifications

• Extensive hands-on AWS data platform engineering experience.
• Strong AWS analytics expertise, particularly Glue, Athena, Redshift and EMR.
• Experience with Spark, Kafka and modern Lakehouse technologies.
• Strong Python and SQL development skills.
• Experience with Terraform, CI/CD and DataOps.
• Ability to make architectural decisions while remaining actively involved in engineering.
• Experience leading technical teams and reviewing code.
• Very good English communication skills.

Requirements

• Ontologies and semantic data modelling.
• AWS certifications.
• German language skills are nice to have.

Benefits

• Flexible working hours and the freedom to choose your own projects.
• Access to exciting projects in various industries.
• Support in advancing your career.
• A dedicated team to help you with any questions you may have.
• Work independently and utilise our strong network to achieve your professional goals.