Software Data Engineer (AWS)
At a glance
Mid-level Data Engineering role at PirelliTyres. Bari · no salary stated · we estimate €34,200–€38,500 across Italy.
PirelliTyres has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build Kafka-based streaming flows that process data and send it into curated storage
- Create batch pipelines for a bronze, silver and gold lakehouse on S3, using formats such as Iceberg
- Maintain data across relational databases, DynamoDB and object storage layers
- Deploy AWS data and machine-learning infrastructure with code, then take prototypes through production release
- Monitor production pipelines for reliability and data quality, and handle reported issues and ingestion improvements
What you bring
- A master's degree in computer science or engineering; a doctorate is an added advantage
- Strong SQL and Python skills, plus practical work with Kafka and Flink or Spark Streaming
- Hands-on AWS capability across services such as EKS, Fargate, Lambda, S3 and another listed service
- Experience with big-data tools, lakehouse formats, Git, CI/CD, Docker and infrastructure as code
Who this fits
This role suits a mid-level data engineer who can build and operate ingestion pipelines, cloud infrastructure and production data workflows. You’ll work with the Milan team on requirements and designs, and support manufacturing systems across plants worldwide. The position is based in Bari and offers hybrid remote work and flexible hours.
From the employer
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
APPLY NOW, DRIVE YOUR FUTURE!
#WePirelli
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
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.