Senior Data Engineer
Skills
SQLAmazon RedshiftAmazon S3Amazon Web ServicesApache FlinkApache KafkaData Transformation
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong experience designing and implementing modern data lakehouse architectures
- Hands-on AWS experience including S3 Glue Athena Lake Formation and Redshift
- Experience with Databricks Delta Lake Apache Flink or similar
- Strong Python and SQL skills
- Good understanding of data governance data security and GDPR compliance
- Experience managing PII securely through encryption masking and access controls
- Excellent communication skills with customers or business stakeholders
- Consultative mindset with ability to explain technical solutions to non-technical audiences
- AWS certifications highly desirable
- Experience within Media Broadcast or Telecommunications advantageous
Nice to have
- Client-facing
- Consultative
- Collaborative
- Architectural thinking
Day to day
- Design and deliver modern AWS-based data lakehouse solutions using services such as S3 Glue Athena Lake Formation and Redshift
- Build scalable secure data pipelines with a strong focus on quality governance and compliance
- Act as a trusted advisor for enterprise customers translating complex technical concepts into clear business language
Hiring process
- Apply now
- Reach out directly