Software Data Engineer (Aws)

Pirelli; Puglia; Ibrido; EUR 27.000 - 32.000; Tempo pieno

Vantaggi offerti da questo lavoro

Ticket restaurant

Flexible hours

Hybrid remote working

Employee benefits

Descrizione del lavoro

Pirelli is hiring a Software Data Engineer (AWS) to join the Data Platform project in Bari, Italy. You will build data ingestion pipelines using Kafka, integrate plant systems, and support a shift to data-driven manufacturing.

The role collaborates with the Milan team to design, test, and deploy in AWS. Requirements include a Master’s in CS/Engineering, strong SQL and Python, and hands-on AWS experience with EKS, S3, DynamoDB, and Iceberg/Parquet lakehouse architectures.

Competenze

• Master's in Computer Science/Engineering (PhD a plus).
• Strong SQL and Python.
• Streaming pipelines with Kafka/MSK and Flink (or Spark Streaming).
• AWS hands-on: EKS, Fargate, Lambda, S3, Aurora/RDS, DynamoDB, VPC.
• Big-data stack (Spark, Hive, HDFS) and lakehouse formats (Iceberg/Parquet).
• Git, CI/CD, Docker, IaC (Terraform), REST APIs; agile/scrum.

Mansioni

• Design, build streaming data pipelines: Kafka-MSK, stream processing (Flink/Spark Streaming), and routing into curated storage.
• Develop batch transformation pipelines into a medallion lakehouse (bronze/silver/gold) on S3, with table formats like Iceberg.
• Manage data storage across relational (Aurora/RDS PostgreSQL), NoSQL (DynamoDB), and object/lakehouse layers.
• Design, deploy, and manage AWS infrastructure for data and ML workloads via Infrastructure as Code (EKS, Fargate, Lambda, VPC).
• Take solutions from prototype to production: refactor, optimize, and apply CI/CD and engineering best practices.
• Ensure observability, monitoring, data quality, and maintenance of pipelines in production.

Conoscenze

SQL

Python

Communication

Teamwork

Formazione

Master's in Computer Science/Engineering

Strumenti

Kafka/MSK

Spark

Flink

AWS

Terraform

Docker

Git

Descrizione del lavoro

DISCOVER PIRELLI

We are a global leader in the tire industry, specialized in designing, developing, manufacturing, and marketing high-performance tires for cars, motorcycles, and bicycles. With a presence in over 160 countries and around 18 production facilities, we pride ourselves on our cutting-edge technology and commitment to sustainability. Innovation is at the heart of everything we do, and it is fueled by our commitment to the inclusion of unique perspectives and different experiences. Because power is nothing without our people! In 2022, Pirelli established its Digital Solutions Center in Bari, a hub dedicated to driving digital innovation and strengthening key capabilities across the company. The center focuses on developing advanced software, data platforms, and algorithms supporting core business processes, from product development to manufacturing and commercial performance. Working with cutting-edge technologies such as Big Data, AI, Digital Twin and Industrial IoT, the center drives innovation across the entire value chain, improving process efficiency, enhancing performance and enabling new digital services in a highly connected international ecosystem.

DRIVE YOUR FUTURE

The Software Data Engineer (AWS) will be involved in the Data Platform project, with the goal of developing data ingestion processes through Kafka and integrating all manufacturing systems present in the plants and will be part of the AMS team, responsible for handling user-reported issues worldwide and addressing improvement requests related to the ingestion process. They will focus on analyzing and implementing big data solutions, particularly in a cloud environment. The projects will address digital transformation, transitioning from traditional and legacy solutions to data management and analysis aligned with a data-driven strategy. The candidate will collaborate with the Milan team to share requirements, design, and model loading chains. Responsibilities include documenting developments, conducting integration tests and deployments in the AWS environment, and managing the handover of the implemented solution to the support team for governance.

WHY JOIN US

We are offering a rewarding role with scope for career progression along with:

• Ticket restaurant.
• Flexible working hours.
• Hybrid Remote Working.
• Employee benefits.

MAIN ACTIVITIES

• Design and build streaming data pipelines: Kafka-MSK, stream processing (Flink/Spark Streaming), and routing into curated storage.
• Develop batch transformation pipelines into a medallion lakehouse (bronze/silver/gold) on S3, with table formats like Iceberg.
• Manage data storage across relational (Aurora/RDS PostgreSQL), NoSQL (DynamoDB), and object/lakehouse layers.
• Design, deploy, and manage AWS infrastructure for data and ML workloads via Infrastructure as Code (EKS, Fargate, Lambda, VPC).
• Take solutions from prototype to production: refactor, optimize, and apply CI/CD and engineering best practices.
• Ensure observability, monitoring, data quality, and maintenance of pipelines in production.

WHAT WE ARE LOOKING FOR

• Master's in Computer Science/Engineering (PhD a plus).
• Strong SQL and Python
• Streaming pipelines with Kafka/MSK and Flink (or Spark Streaming).
• AWS hands-on: EKS, Fargate, Lambda, S3, Aurora/RDS, DynamoDB, VPC.
• Big-data stack (Spark, Hive, HDFS) and lakehouse formats (Iceberg/Parquet).
• Git, CI/CD, Docker, IaC (Terraform), REST APIs; agile/scrum.

NICE TO HAVE

• Iceberg/Delta, CDC and schema evolution at scale; Scala.
• Strong communication, curiosity, and good organizational skills.

WHAT PUTS YOU IN POLE POSITION

• Curiosity, interest of learning new technologies/new product/features.
• Strong communication skills to collaborate with cross-functional teams and stakeholders.
• Detail-oriented with good organizational and time management skills.

COMPENSATION PACKAGE

• The employment contract will be regulated by “Gomma Plastica” National Collective Bargaining Agreement
• The gross annual base salary (RAL) offered will be no less than 29.500
• The Company is committed to offering a competitive compensation package and, following the selection process, may propose a final gross annual base salary above the stated level, commensurate with the candidate’s experience, skills, and qualifications
• The position’s compensation package also includes a welfare and benefits offer. Further details will be provided at a later stage and will be subject to the applicable Company policies

We are an equal opportunity employer and this search is open to all individuals, in compliance with the principles of equal opportunity and non-discrimination, pursuant to applicable laws and regulations

Software Data Engineer (AWS) bari, apulia, Italy