Senior Data Engineer - Data Platform & Analytics
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.
Overview
Job Description
Our Data Engineering team builds highly intuitive data solutions that underpin business functions across Sales, Marketing, Finance and Operations. We are hiring senior data engineers who are passionate about building structured, high-quality data pipelines. These solutions will be used to evolve our products, bringing better experiences to Sky business users and to Sky subscribers. We process terabytes of data using tools such as Python, SQL and GCP products suite (BigQuery and a managed Airflow).
What you'll do
Build large-scale batch and real-time data processing systems with Python and cloud platforms. Facilitate and drive collaboration with other software engineers, data scientists, and decision-makers, such as product managers, to build exceptional data powered products. Evolving our data pipelines towards technical excellence by improving data quality through testing, tooling and continuously evaluating performance at scale. Perform root cause analysis on data and processes to answer business questions and find opportunities for improvement. Continuously improving our code base by working with innovative data processing frameworks, technologies, and platforms. Design, develop, test, monitor, manage and validate the Data Platform activity. Including the definition of the process for the change management of the continuous integration.
Who you are
You are knowledgeable and driven about software engineering. We use languages such as Python, Java and SQL combined with various cloud solutions. Although you might not have a background in our field, bringing knowledge and experience from other fields is merited. You care deeply about agile software processes, reliability, and responsible experimentation as well as being a strong advocate for engineering best practices such as continuous integration and delivery.
Must have
- BSc in Maths or Computer Science or equivalent working experience
- At least 7 years of experience, sitting at the intersection of data engineering, business intelligence and data science
- You understand what it takes to build a very efficient and effective data infrastructure in modern digital and tech companies
- Experience in Data Modeling and building data pipelines for MPP databases
- Fluent in Italian and English
Nice to have
- Experience working with high volume data, preferably with data processing frameworks like Apache Beam, Apache Spark
- Strong analytical skills and love to visualize your data findings in a clear and easy way to understand and to collect corner cases of implementations
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
