Senior Data Engineer
4 weeks ago
About the Role:
We are seeking a highly skilled Senior Data Engineer to join our team at Partnerize. As a Senior Data Engineer, you will be responsible for designing, building, and maintaining data pipelines using Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, Kafka, and Apache Spark.
Key Responsibilities:
- Design and implement data pipelines to integrate large sets of data from internal and external sources.
- Ensure the reliability and performance of data systems by implementing best practices for data quality, security, and scalability.
- Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.
- Design and implement data models and explain trade-offs of different modeling approaches.
- Stay up to date with the latest developments and technologies in the data engineering field.
Requirements:
- Strong experience with Google Cloud Platform, Google BigQuery, Apache Airflow, Airbyte, HDFS, and Apache Spark.
- Experience with data warehousing, data modeling, and ETL data pipelines design, implementation, and maintenance.
- Good knowledge of software engineering practices and hands-on experience with writing Python production-level code.
- Good knowledge of SQL and approaches to query optimization.
- Strong understanding of data security and privacy principles.
- Excellent problem-solving and critical thinking skills.
- Strong communication and collaboration skills.
What We Offer:
- 25 days holiday in addition to bank holidays.
- Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment.
- 5 extra 'Partnerize Parental Days' each year.
- Private Medical Insurance through Bupa.
- Enhanced pension contributions.
- Cycle to Work scheme.
- Eye Care Vouchers.
- Life Assurance.
- Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program.
- Regular company events and activities.
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