Senior Data Engineer

Annual releases gave way to two-week sprints years ago, and the platform now handles over 200 million API calls a day. Our engineering group is split into roughly 60 product teams, each owning its services end to end, with on-call shared across time zones.

The role

We need a Senior Data Engineer. This is a full-time position based in Naples, Campania. This hire will help replace a set of fragile nightly scripts with tested, monitored pipelines. Hybrid. You will need to be in Naples at least two days per week.

In this role you will

• Write data quality tests with dbt or Great Expectations and alert on failures
• Handle PII according to retention, masking and access policies
• Stream events through Kafka or Kinesis into the lake and warehouse
• Model data in dbt using staging, intermediate and mart layers
• Tune slow queries and expensive jobs

Required qualifications

• 7+ years of data engineering, or backend work with data at volume
• Patience with messy source data and the habit of documenting assumptions
• Hands-on with an orchestration tool such as Airflow
• Familiarity with Git, CI/CD and testing practices for data code
• Understanding of dimensional modelling and slowly changing dimensions
• Strong Python for data processing

Nice to have

• Background in finance or marketing data
• Reverse ETL tools like Hightouch or Census
• Kafka, Flink or Spark Structured Streaming
• Terraform for data infrastructure

€48,000 - €63,000 a year

Why work with us

• Private health insurance
• Training budget
• Flexible remuneration plan
• Hybrid working
• Life insurance
• Meal vouchers

We will only contact shortlisted applicants.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Pendle.